From b33d8ec42498830faf9744dbc6283a87ece4a4ae Mon Sep 17 00:00:00 2001 From: Ernest Guevarra Date: Thu, 4 Jul 2019 05:42:27 +0100 Subject: [PATCH 1/2] update manual --- .gitignore | 1 + 02-sampling.Rmd | 4 +- 03-indicators.Rmd | 2 +- 06-practical.Rmd | 2 +- 07-ram_op_software.Rmd | 10 +- README.md | 2 +- _bookdown.yml | 8 +- _output.yml | 12 +- before_body.tex | 1 + docs/conclusion.html | 113 +- docs/datasets.html | 113 +- docs/index.html | 109 +- docs/indicators.html | 115 +- docs/introduction.html | 113 +- .../gitbook-2.6.7/css/plugin-bookdown.css | 4 +- .../gitbook-2.6.7/css/plugin-fontsettings.css | 3 +- docs/libs/gitbook-2.6.7/css/plugin-search.css | 3 + docs/libs/gitbook-2.6.7/css/plugin-table.css | 1 + docs/libs/gitbook-2.6.7/css/style.css | 2 +- docs/libs/gitbook-2.6.7/js/app.min.js | 7 +- .../libs/gitbook-2.6.7/js/jquery.highlight.js | 2 + docs/libs/gitbook-2.6.7/js/plugin-bookdown.js | 43 +- docs/libs/gitbook-2.6.7/js/plugin-search.js | 87 +- docs/libs/gitbook-2.6.7/js/plugin-sharing.js | 3 +- docs/practical.html | 115 +- docs/questionnaire.html | 113 +- docs/ramOPmanual.epub | Bin 13604948 -> 13605371 bytes docs/ramOPmanual.pdf | Bin 9607848 -> 9587853 bytes docs/ramOPmanual.tex | 2071 +++++------------ docs/sampling.html | 119 +- docs/search_index.json | 16 +- docs/software.html | 131 +- docs/style.css | 164 +- figures/ramOP.png | Bin 0 -> 194668 bytes images/caution.png | Bin 0 -> 2768 bytes images/important.png | Bin 0 -> 2872 bytes images/note.png | Bin 0 -> 2617 bytes images/tip.png | Bin 0 -> 2685 bytes images/warning.png | Bin 2818 -> 3142 bytes index.Rmd | 6 +- preamble.tex | 151 +- style.css | 164 +- toc.css | 124 + 43 files changed, 1576 insertions(+), 2358 deletions(-) create mode 100644 before_body.tex create mode 100644 docs/libs/gitbook-2.6.7/css/plugin-table.css create mode 100644 figures/ramOP.png create mode 100644 images/caution.png create mode 100644 images/important.png create mode 100644 images/note.png create mode 100644 images/tip.png create mode 100644 toc.css diff --git a/.gitignore b/.gitignore index 5b6a065..7b732e7 100644 --- a/.gitignore +++ b/.gitignore @@ -2,3 +2,4 @@ .Rhistory .RData .Ruserdata +.DS_Store diff --git a/02-sampling.Rmd b/02-sampling.Rmd index e1f9967..c46bfc7 100644 --- a/02-sampling.Rmd +++ b/02-sampling.Rmd @@ -114,7 +114,7 @@ aged 50 years or older” or “persons aged 55 years or older”. The age distribution of the population and the survey eligibility criteria will affect the sample design in terms of the number of communities that you will need to sample ($m$) and the number of older persons ($n$) that can be sampled from each community. -The overall sample size for a RAM-OP sample should be at least $n = 192$ usually collected as $n = 12$ eligible subjects sampled from $m = 16$ communities. If older people make up a very small proportion (i.e. much less than 5%) of the total population and / or the average population of communities is small then you will usually need to sample more than m = 16 communities in order to get about $n = 192$ older people in the overall sample. This is likely to occur when there are fewer than 20 to 25 older people in a community of average size. +The overall sample size for a RAM-OP sample should be at least $n = 192$ usually collected as $n = 12$ eligible subjects sampled from $m = 16$ communities. If older people make up a very small proportion (i.e. much less than 5%) of the total population and / or the average population of communities is small then you will usually need to sample more than $m = 16$ communities in order to get about $n = 192$ older people in the overall sample. This is likely to occur when there are fewer than 20 to 25 older people in a community of average size. You can calculate the number of older people that you would expect to be living in a community of average size using the following formula: @@ -164,7 +164,7 @@ RANDBETWEEN(1, 4)   -**Step 3:** Using the *random starting point* and the *sampling interval*, select the sampling villages from a list of all villages organised/sorted by a **non-overalapping** spatial factor such as district or sub-district. +**Step 3:** Using the *random starting point* and the *sampling interval*, select the sampling villages from a list of all villages organised/sorted by a **non-overlapping** spatial factor such as district or sub-district. \newpage diff --git a/03-indicators.Rmd b/03-indicators.Rmd index f0e69b7..7c38636 100644 --- a/03-indicators.Rmd +++ b/03-indicators.Rmd @@ -447,7 +447,7 @@ These are standard case definitions for acute malnutrition in adults and recomme \newpage -```{block2, type = "rmdbox"} +```{block2, type = "rmdnote"} An estimate of GAM prevalence can be made using a classic estimator: $$\text{prevalence} = \frac{\text{number of respondents with MUAC < 210 mm}}{\text{total number of respondents}}$$ diff --git a/06-practical.Rmd b/06-practical.Rmd index 60f81ba..187677d 100644 --- a/06-practical.Rmd +++ b/06-practical.Rmd @@ -276,7 +276,7 @@ Here is a typical timetable of survey activities: * Review logistics arrangements with the trainees -**At the end of the trainin** +**At the end of the training** * Provide each trainee with a certificate of attendance * Pay the training incentives diff --git a/07-ram_op_software.Rmd b/07-ram_op_software.Rmd index 78f27b6..43e001f 100644 --- a/07-ram_op_software.Rmd +++ b/07-ram_op_software.Rmd @@ -19,13 +19,13 @@ This manual covers analysing your data using the **RAnalyticFlow** workflow. An To use the **RAnalyticFlow** workflow you must install: * **The *R Language for Data-Analysis and Graphics* (R)** : This is the *“engine”* which does all the -work of analysing your data. You can get the R installation program from: [http://cran.r-project.org](http://cran.r-project.org). Following are links to download operating sofware-specific versions of R: +work of analysing your data. You can get the R installation program from: [http://cran.r-project.org](http://cran.r-project.org). Following are links to download operating software-specific versions of R: * [Download R for Linux](https://cran.r-project.org/bin/linux/) * [Download R for (Mac) OS X](https://cran.r-project.org/bin/macosx/) - * [Download R for Windowx](https://cran.r-project.org/bin/windows/) + * [Download R for Windows](https://cran.r-project.org/bin/windows/) * **R packages** (libraries of functions needed to work with the **RAnalyticFlow** workflow) : You can install these from within **R** using the Package Installer function within R. The libraries needed are: @@ -55,7 +55,7 @@ install.packages(c("rJava", "JavaGD", "codetools", repos = "https://cloud.r-project.org/") ``` -The `repos` argument in the R command above specifies the CRAN mirror from which you to download the package/s you want to install. Here we specify the cloud-based mirror for CRAN provided by RStudio. If unspecified, the installiation process will prompt you to select a mirror from which to download packages from. If you already know the URL of the CRAN mirror you want to use, specify this in the `repos` argument. +The `repos` argument in the R command above specifies the CRAN mirror from which you to download the package/s you want to install. Here we specify the cloud-based mirror for CRAN provided by RStudio. If unspecified, the installation process will prompt you to select a mirror from which to download packages from. If you already know the URL of the CRAN mirror you want to use, specify this in the `repos` argument. Note that **RAnalyticFlow** may require you to have **Java** installed. Check the instructions on the **RAnalyticFlow** [download page](http://r.analyticflow.com/en/download/) and on this [starter guide](http://download.ef-prime.com/ranalyticflow/3.1.5/readme.html). @@ -98,7 +98,7 @@ Before you start work you will need to create a project for your survey: 2. Give your project a useful (i.e. descriptive and memorable) name. This might be a name that describes the survey. For example, if the survey was done in the Kereinik locality of West Darfur in December 2015 you might use the name **WD.Kereinik.Dec2015.RAMOP** -3. Give the location of your project directory or project folder. This is the directory or folder which contains your survey data file, your PSU file, the RAM-OP language file, and a copy of **RAMOP.rflow** (see previous page). The location of the project directory or project folder (labeled “Path” by the software) that **RAnalyticFlow** selects automatically will almost always be wrong. You need to specify this manually. +3. Give the location of your project directory or project folder. This is the directory or folder which contains your survey data file, your PSU file, the RAM-OP language file, and a copy of **RAMOP.rflow** (see previous page). The location of the project directory or project folder (labelled “Path” by the software) that **RAnalyticFlow** selects automatically will almost always be wrong. You need to specify this manually. 4. Click the **OK** button @@ -120,7 +120,7 @@ knitr::include_graphics("figures/runWorkflowRAF.png") Once this is done, you should: -1. Retrieve your survey data. This can be in EpiDat (REC) format or CSV format. Select and run the +1. Retrieve your survey data. This can be in EpiData (REC) format or CSV format. Select and run the appropriate **Survey Data** node and select the survey data file. 2. Retrieve the PSU date data. Select and run the **PSU Data** node and select your PSU file. diff --git a/README.md b/README.md index 016848c..bd00790 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# Rapid Assessment Method for Older People (RAM-OP): The Manual +# Rapid Assessment Method for Older People (RAM-OP): The Manual [![Travis-CI Build Status](https://travis-ci.org/rapidsurveys/ramOPmanual.svg?branch=master)](https://travis-ci.org/rapidsurveys/ramOPmanual) [![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/rapidsurveys/ramOPmanual?branch=master&svg=true)](https://ci.appveyor.com/project/rapidsurveys/ramOPmanual) diff --git a/_bookdown.yml b/_bookdown.yml index 460a872..0fab082 100644 --- a/_bookdown.yml +++ b/_bookdown.yml @@ -1,6 +1,10 @@ book_filename: "ramOPmanual" +repo: https://github.com/rapidsurveys/ramOPmanual +output_dir: "docs" delete_merged_file: true language: + label: + fig: "Figure " + tab: "Table " ui: - chapter_name: "Chapter " -output_dir: "docs" + chapter_name: "" diff --git a/_output.yml b/_output.yml index 3e4ed13..92700d7 100644 --- a/_output.yml +++ b/_output.yml @@ -3,6 +3,8 @@ bookdown::gitbook: css: style.css fig_caption: yes split_by: chapter + #includes: + # in_header: google_analytics.html config: toc: collapse: section @@ -11,6 +13,10 @@ bookdown::gitbook: after: |
  • download: ["pdf", "epub"] + sharing: + github: yes + facebook: no + twitter: no bookdown::pdf_book: includes: in_header: preamble.tex @@ -18,4 +24,8 @@ bookdown::pdf_book: citation_package: natbib keep_tex: yes fig_caption: yes -bookdown::epub_book: default + toc_depth: 3 + toc_unnumbered: no + toc_appendix: yes +bookdown::epub_book: + stylesheet: style.css \ No newline at end of file diff --git a/before_body.tex b/before_body.tex new file mode 100644 index 0000000..dc41495 --- /dev/null +++ b/before_body.tex @@ -0,0 +1 @@ +\newpage \ No newline at end of file diff --git a/docs/conclusion.html b/docs/conclusion.html index d2c653f..d4defba 100644 --- a/docs/conclusion.html +++ b/docs/conclusion.html @@ -1,40 +1,40 @@ - - + - - - Rapid Assessment Method for Older People (RAM-OP): The Manual - - + + + 7 Conclusion | Rapid Assessment Method for Older People (RAM-OP): The Manual + + - + - - + + - + - + - + - + - - - + + + + @@ -49,20 +49,26 @@ @@ -208,7 +215,7 @@

    -

    Chapter 7 Conclusion

    +

    7 Conclusion

    We live in an ageing world, where people aged 60 or over will be 2 billion or about 22% of the world’s population by 2050.

    Currently, two in three people aged 60 years or older live in developing countries. By 2050, nearly four in five older people will be living in the developing world.

    The changing demographics of ageing combined with the increasing number of disasters will exert a disproportionate impact on the world’s oldest and poorest.

    @@ -237,13 +244,13 @@

    Chapter 7 Conclusion

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    Chapter 7 Conclusion

    "link": null, "text": null }, +"history": { +"link": null, +"text": null +}, "download": ["ramOPmanual.pdf", "ramOPmanual.epub"], "toc": { "collapse": "section" @@ -270,7 +281,7 @@

    Chapter 7 Conclusion

    var script = document.createElement("script"); script.type = "text/javascript"; var src = "true"; - if (src === "" || src === "true") src = "https://cdn.bootcss.com/mathjax/2.7.1/MathJax.js?config=TeX-MML-AM_CHTML"; + if (src === "" || src === "true") src = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-MML-AM_CHTML"; if (location.protocol !== "file:" && /^https?:/.test(src)) src = src.replace(/^https?:/, ''); script.src = src; diff --git a/docs/datasets.html b/docs/datasets.html index d886583..c013b97 100644 --- a/docs/datasets.html +++ b/docs/datasets.html @@ -1,40 +1,40 @@ - - + - - - Rapid Assessment Method for Older People (RAM-OP): The Manual - - + + + 4 Datasets | Rapid Assessment Method for Older People (RAM-OP): The Manual + + - + - - + + - + - + - + - + - - - + + + + @@ -49,20 +49,26 @@ @@ -208,7 +215,7 @@

    -

    Chapter 4 Datasets

    +

    4 Datasets

    This section details the RAM-OP datasets. The information presented here is of most use if you decide not to use the RAM-OP data entry and data checking software. You might, for example, decide to enter survey data using spreadsheet software such as Microsoft Excel. If you do this and want to use the RAM-OP data analysis software then you will need to export the data as a comma-separated-value (CSV) file with the same variable names, variable types and lengths, and using the same codes as shown in the tables in this section. For the main RAM-OP survey dataset these are the same variable names, variable types, variable lengths, codes, and in the same order as shown on the standard RAM-OP questionnaire.

    There are two RAM-OP datasets:

      @@ -340,13 +347,13 @@

      Chapter 4 Datasets

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      Chapter 4 Datasets

      "link": null, "text": null }, +"history": { +"link": null, +"text": null +}, "download": ["ramOPmanual.pdf", "ramOPmanual.epub"], "toc": { "collapse": "section" @@ -373,7 +384,7 @@

      Chapter 4 Datasets

      var script = document.createElement("script"); script.type = "text/javascript"; var src = "true"; - if (src === "" || src === "true") src = "https://cdn.bootcss.com/mathjax/2.7.1/MathJax.js?config=TeX-MML-AM_CHTML"; + if (src === "" || src === "true") src = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-MML-AM_CHTML"; if (location.protocol !== "file:" && /^https?:/.test(src)) src = src.replace(/^https?:/, ''); script.src = src; diff --git a/docs/index.html b/docs/index.html index d0f15e9..907bea0 100644 --- a/docs/index.html +++ b/docs/index.html @@ -1,40 +1,40 @@ - - + - - + + Rapid Assessment Method for Older People (RAM-OP): The Manual - - + + - - + + - + - + - + - - - + + + + @@ -49,20 +49,26 @@ @@ -209,8 +216,8 @@

      The RAM-OP Manual

      @@ -236,13 +243,13 @@

      The RAM-OP Manual

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      The RAM-OP Manual

      "link": null, "text": null }, +"history": { +"link": null, +"text": null +}, "download": ["ramOPmanual.pdf", "ramOPmanual.epub"], "toc": { "collapse": "section" @@ -269,7 +280,7 @@

      The RAM-OP Manual

      var script = document.createElement("script"); script.type = "text/javascript"; var src = "true"; - if (src === "" || src === "true") src = "https://cdn.bootcss.com/mathjax/2.7.1/MathJax.js?config=TeX-MML-AM_CHTML"; + if (src === "" || src === "true") src = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-MML-AM_CHTML"; if (location.protocol !== "file:" && /^https?:/.test(src)) src = src.replace(/^https?:/, ''); script.src = src; diff --git a/docs/indicators.html b/docs/indicators.html index 1c64f8b..59971fc 100644 --- a/docs/indicators.html +++ b/docs/indicators.html @@ -1,40 +1,40 @@ - - + - - - Rapid Assessment Method for Older People (RAM-OP): The Manual - - + + + 2 Indicators | Rapid Assessment Method for Older People (RAM-OP): The Manual + + - + - - + + - + - + - + - + - - - + + + + @@ -49,20 +49,26 @@ @@ -208,7 +215,7 @@

      -

      Chapter 2 Indicators

      +

      2 Indicators

      2.1 The RAM-OP indicator set

      RAM-OP surveys collect and report on data for a broad range of indicators relevant to older people.

      @@ -528,7 +535,7 @@

      2.1.14 Anthropometry and screenin

      Note : MUAC in adults should be measured on the non-dominant arm. This is usually the left arm. The importance of high levels of accuracy and precision at the individual level is of lesser importance in survey work compared to case-finding or diagnosis in clinical contexts, for example. This means that a simple rule such as “Always measure MUAC on the left arm” may be used.

      -
      +

      An estimate of GAM prevalence can be made using a classic estimator:

      \[\text{prevalence} = \frac{\text{number of respondents with MUAC < 210 mm}}{\text{total number of respondents}}\]

      The estimate of GAM prevalence made from the RAM-OP survey data is made using a PROBIT estimator. The PROBIT function is also known as the inverse cumulative distribution function. This function converts parameters of the distribution of an indicator (e.g. the mean and standard deviation of a normally distributed variable) into cumulative percentiles. This means that it is possible to use the normal PROBIT function with estimates of the mean and standard deviation of indicator values in a survey sample to predict (or estimate) the proportion of the population falling below a given threshold. For example, for data with a mean MUAC of 256 mm and a standard deviation of 28 mm the output of the normal PROBIT function for a threshold of 210 mm is 0.0502 meaning that 5.02% of the population are predicted (or estimated) to fall below the 210 mm threshold.

      @@ -681,13 +688,13 @@

      2.2 A note on data management and gitbook.require(["gitbook"], function(gitbook) { gitbook.start({ "sharing": { -"github": false, -"facebook": true, -"twitter": true, +"github": true, +"facebook": false, +"twitter": false, "google": false, "linkedin": false, "weibo": false, -"instapper": false, +"instapaper": false, "vk": false, "all": ["facebook", "google", "twitter", "linkedin", "weibo", "instapaper"] }, @@ -700,6 +707,10 @@

      2.2 A note on data management and "link": null, "text": null }, +"history": { +"link": null, +"text": null +}, "download": ["ramOPmanual.pdf", "ramOPmanual.epub"], "toc": { "collapse": "section" @@ -714,7 +725,7 @@

      2.2 A note on data management and var script = document.createElement("script"); script.type = "text/javascript"; var src = "true"; - if (src === "" || src === "true") src = "https://cdn.bootcss.com/mathjax/2.7.1/MathJax.js?config=TeX-MML-AM_CHTML"; + if (src === "" || src === "true") src = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-MML-AM_CHTML"; if (location.protocol !== "file:" && /^https?:/.test(src)) src = src.replace(/^https?:/, ''); script.src = src; diff --git a/docs/introduction.html b/docs/introduction.html index c0e2f64..302b5b7 100644 --- a/docs/introduction.html +++ b/docs/introduction.html @@ -1,40 +1,40 @@ - - + - - - Rapid Assessment Method for Older People (RAM-OP): The Manual - - + + + Introduction | Rapid Assessment Method for Older People (RAM-OP): The Manual + + - + - - + + - + - + - + - + - - - + + + + @@ -49,20 +49,26 @@ @@ -213,7 +220,7 @@

      Introduction

      Despite these potential vulnerabilities in humanitarian situations, older people are rarely identified as a group in need of specific nutritional or food assistance. Surveys and assessments almost always focus on children, and sometimes on pregnant and lactating women. Humanitarian workers argue that assessing the nutritional status and needs of older people is both costly and complicated. As a consequence, the nutritional status and needs of older people in crisis go unidentified and unaddressed.

      HelpAge International, VALID International, and Brixton Health, with financial assistance from the Humanitarian Innovation Fund (HIF), have developed a Rapid Assessment Method for Older People (RAM-OP) that provides accurate and reliable estimates of the needs of older people. The method uses simple procedures, in a short time frame (i.e. about two weeks including training, data collection, data entry, and data analysis), and at considerably lower cost than other methods. The RAM-OP method is based on the following principles:

        -

      • Use of a familiar “household survey” design employing a two-stage cluster sample design optimised to allow the use of a small primary sample ( m ≥ 16 clusters) and a small overall ( n ≥ 192) sample.

        • +

      • Use of a familiar “household survey” design employing a two-stage cluster sample design optimised to allow the use of a small primary sample (\(m ≥ 16\) clusters) and a small overall (\(n ≥ 192\)) sample.

      • Assessment of multiple dimensions of need in older people (including prevalence of global, moderate and severe acute malnutrition) using, whenever possible, standard and well-tested indicators and question sets.

      • Data analysis performed using modern computer-intensive methods to allow estimates of indicator levels to be made with useful precision using a small sample size.

      @@ -247,13 +254,13 @@

      Introduction

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      Introduction

      "link": null, "text": null }, +"history": { +"link": null, +"text": null +}, "download": ["ramOPmanual.pdf", "ramOPmanual.epub"], "toc": { "collapse": "section" @@ -280,7 +291,7 @@

      Introduction

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span.lemma, span.corollary, span.proposition, span.conjecture { font-style: normal; } div.proof:after { diff --git a/docs/libs/gitbook-2.6.7/css/plugin-fontsettings.css b/docs/libs/gitbook-2.6.7/css/plugin-fontsettings.css index 26591fe..87236b4 100644 --- a/docs/libs/gitbook-2.6.7/css/plugin-fontsettings.css +++ b/docs/libs/gitbook-2.6.7/css/plugin-fontsettings.css @@ -104,7 +104,8 @@ background-color: inherit; } .book.color-theme-1 .book-body .page-wrapper .page-inner section.normal blockquote { - border-color: inherit; + border-color: #c4b29f; + opacity: 0.9; } .book.color-theme-1 .book-body .page-wrapper .page-inner section.normal pre, .book.color-theme-1 .book-body .page-wrapper .page-inner section.normal code { diff --git a/docs/libs/gitbook-2.6.7/css/plugin-search.css b/docs/libs/gitbook-2.6.7/css/plugin-search.css index d7ff2d9..c85e557 100644 --- a/docs/libs/gitbook-2.6.7/css/plugin-search.css +++ b/docs/libs/gitbook-2.6.7/css/plugin-search.css @@ -26,3 +26,6 @@ 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isObj=isObject(source),props=isObj?keys(source):undefined,methodNames=props&&props.length?baseFunctions(source,props):undefined;if(!(methodNames?methodNames.length:isObj)){methodNames=false;options=source;source=object;object=this}}if(!methodNames){methodNames=baseFunctions(source,keys(source))}var chain=true,index=-1,isFunc=isFunction(object),length=methodNames.length;if(options===false){chain=false}else if(isObject(options)&&"chain"in options){chain=options.chain}while(++index0||end<0)){return new LazyWrapper(result)}if(start<0){result=result.takeRight(-start)}else if(start){result=result.drop(start)}if(end!==undefined){end=+end||0;result=end<0?result.dropRight(-end):result.take(end-start)}return result};LazyWrapper.prototype.takeRightWhile=function(predicate,thisArg){return this.reverse().takeWhile(predicate,thisArg).reverse()};LazyWrapper.prototype.toArray=function(){return this.take(POSITIVE_INFINITY)};baseForOwn(LazyWrapper.prototype,function(func,methodName){var 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if(freeExports&&freeModule){if(moduleExports){(freeModule.exports=_)._=_}else{freeExports._=_}}else{root._=_}}).call(this)}).call(this,typeof global!=="undefined"?global:typeof self!=="undefined"?self:typeof window!=="undefined"?window:{})},{}],3:[function(require,module,exports){(function(window,document,undefined){var _MAP={8:"backspace",9:"tab",13:"enter",16:"shift",17:"ctrl",18:"alt",20:"capslock",27:"esc",32:"space",33:"pageup",34:"pagedown",35:"end",36:"home",37:"left",38:"up",39:"right",40:"down",45:"ins",46:"del",91:"meta",93:"meta",224:"meta"};var _KEYCODE_MAP={106:"*",107:"+",109:"-",110:".",111:"/",186:";",187:"=",188:",",189:"-",190:".",191:"/",192:"`",219:"[",220:"\\",221:"]",222:"'"};var _SHIFT_MAP={"~":"`","!":"1","@":"2","#":"3",$:"4","%":"5","^":"6","&":"7","*":"8","(":"9",")":"0",_:"-","+":"=",":":";",'"':"'","<":",",">":".","?":"/","|":"\\"};var _SPECIAL_ALIASES={option:"alt",command:"meta","return":"enter",escape:"esc",plus:"+",mod:/Mac|iPod|iPhone|iPad/.test(navigator.platform)?"meta":"ctrl"};var _REVERSE_MAP;for(var i=1;i<20;++i){_MAP[111+i]="f"+i}for(i=0;i<=9;++i){_MAP[i+96]=i}function _addEvent(object,type,callback){if(object.addEventListener){object.addEventListener(type,callback,false);return}object.attachEvent("on"+type,callback)}function _characterFromEvent(e){if(e.type=="keypress"){var character=String.fromCharCode(e.which);if(!e.shiftKey){character=character.toLowerCase()}return character}if(_MAP[e.which]){return _MAP[e.which]}if(_KEYCODE_MAP[e.which]){return _KEYCODE_MAP[e.which]}return String.fromCharCode(e.which).toLowerCase()}function _modifiersMatch(modifiers1,modifiers2){return modifiers1.sort().join(",")===modifiers2.sort().join(",")}function _eventModifiers(e){var modifiers=[];if(e.shiftKey){modifiers.push("shift")}if(e.altKey){modifiers.push("alt")}if(e.ctrlKey){modifiers.push("ctrl")}if(e.metaKey){modifiers.push("meta")}return modifiers}function _preventDefault(e){if(e.preventDefault){e.preventDefault();return}e.returnValue=false}function _stopPropagation(e){if(e.stopPropagation){e.stopPropagation();return}e.cancelBubble=true}function _isModifier(key){return key=="shift"||key=="ctrl"||key=="alt"||key=="meta"}function _getReverseMap(){if(!_REVERSE_MAP){_REVERSE_MAP={};for(var key in _MAP){if(key>95&&key<112){continue}if(_MAP.hasOwnProperty(key)){_REVERSE_MAP[_MAP[key]]=key}}}return _REVERSE_MAP}function _pickBestAction(key,modifiers,action){if(!action){action=_getReverseMap()[key]?"keydown":"keypress"}if(action=="keypress"&&modifiers.length){action="keydown"}return action}function _keysFromString(combination){if(combination==="+"){return["+"]}combination=combination.replace(/\+{2}/g,"+plus");return combination.split("+")}function _getKeyInfo(combination,action){var keys;var key;var i;var modifiers=[];keys=_keysFromString(combination);for(i=0;i1){_bindSequence(combination,sequence,callback,action);return}info=_getKeyInfo(combination,action);self._callbacks[info.key]=self._callbacks[info.key]||[];_getMatches(info.key,info.modifiers,{type:info.action},sequenceName,combination,level);self._callbacks[info.key][sequenceName?"unshift":"push"]({callback:callback,modifiers:info.modifiers,action:info.action,seq:sequenceName,level:level,combo:combination})}self._bindMultiple=function(combinations,callback,action){for(var i=0;i-1){return false}if(_belongsTo(element,self.target)){return false}return element.tagName=="INPUT"||element.tagName=="SELECT"||element.tagName=="TEXTAREA"||element.isContentEditable};Mousetrap.prototype.handleKey=function(){var self=this;return self._handleKey.apply(self,arguments)};Mousetrap.init=function(){var documentMousetrap=Mousetrap(document);for(var method in documentMousetrap){if(method.charAt(0)!=="_"){Mousetrap[method]=function(method){return function(){return documentMousetrap[method].apply(documentMousetrap,arguments)}}(method)}}};Mousetrap.init();window.Mousetrap=Mousetrap;if(typeof module!=="undefined"&&module.exports){module.exports=Mousetrap}if(typeof define==="function"&&define.amd){define(function(){return Mousetrap})}})(window,document)},{}],4:[function(require,module,exports){(function(process){function normalizeArray(parts,allowAboveRoot){var up=0;for(var i=parts.length-1;i>=0;i--){var last=parts[i];if(last==="."){parts.splice(i,1)}else if(last===".."){parts.splice(i,1);up++}else if(up){parts.splice(i,1);up--}}if(allowAboveRoot){for(;up--;up){parts.unshift("..")}}return parts}var splitPathRe=/^(\/?|)([\s\S]*?)((?:\.{1,2}|[^\/]+?|)(\.[^.\/]*|))(?:[\/]*)$/;var splitPath=function(filename){return splitPathRe.exec(filename).slice(1)};exports.resolve=function(){var resolvedPath="",resolvedAbsolute=false;for(var i=arguments.length-1;i>=-1&&!resolvedAbsolute;i--){var path=i>=0?arguments[i]:process.cwd();if(typeof path!=="string"){throw new TypeError("Arguments to path.resolve must be strings")}else if(!path){continue}resolvedPath=path+"/"+resolvedPath;resolvedAbsolute=path.charAt(0)==="/"}resolvedPath=normalizeArray(filter(resolvedPath.split("/"),function(p){return!!p}),!resolvedAbsolute).join("/");return(resolvedAbsolute?"/":"")+resolvedPath||"."};exports.normalize=function(path){var isAbsolute=exports.isAbsolute(path),trailingSlash=substr(path,-1)==="/";path=normalizeArray(filter(path.split("/"),function(p){return!!p}),!isAbsolute).join("/");if(!path&&!isAbsolute){path="."}if(path&&trailingSlash){path+="/"}return(isAbsolute?"/":"")+path};exports.isAbsolute=function(path){return path.charAt(0)==="/"};exports.join=function(){var paths=Array.prototype.slice.call(arguments,0);return exports.normalize(filter(paths,function(p,index){if(typeof p!=="string"){throw new TypeError("Arguments to path.join must be strings")}return p}).join("/"))};exports.relative=function(from,to){from=exports.resolve(from).substr(1);to=exports.resolve(to).substr(1);function trim(arr){var start=0;for(;start=0;end--){if(arr[end]!=="")break}if(start>end)return[];return arr.slice(start,end-start+1)}var fromParts=trim(from.split("/"));var toParts=trim(to.split("/"));var length=Math.min(fromParts.length,toParts.length);var samePartsLength=length;for(var i=0;i1){for(var i=1;i= 0x80 (not a basic code point)","invalid-input":"Invalid input"},baseMinusTMin=base-tMin,floor=Math.floor,stringFromCharCode=String.fromCharCode,key;function error(type){throw RangeError(errors[type])}function map(array,fn){var length=array.length;var result=[];while(length--){result[length]=fn(array[length])}return result}function mapDomain(string,fn){var parts=string.split("@");var result="";if(parts.length>1){result=parts[0]+"@";string=parts[1]}string=string.replace(regexSeparators,".");var labels=string.split(".");var encoded=map(labels,fn).join(".");return result+encoded}function ucs2decode(string){var output=[],counter=0,length=string.length,value,extra;while(counter=55296&&value<=56319&&counter65535){value-=65536;output+=stringFromCharCode(value>>>10&1023|55296);value=56320|value&1023}output+=stringFromCharCode(value);return output}).join("")}function basicToDigit(codePoint){if(codePoint-48<10){return codePoint-22}if(codePoint-65<26){return codePoint-65}if(codePoint-97<26){return codePoint-97}return base}function digitToBasic(digit,flag){return digit+22+75*(digit<26)-((flag!=0)<<5)}function adapt(delta,numPoints,firstTime){var k=0;delta=firstTime?floor(delta/damp):delta>>1;delta+=floor(delta/numPoints);for(;delta>baseMinusTMin*tMax>>1;k+=base){delta=floor(delta/baseMinusTMin)}return floor(k+(baseMinusTMin+1)*delta/(delta+skew))}function decode(input){var output=[],inputLength=input.length,out,i=0,n=initialN,bias=initialBias,basic,j,index,oldi,w,k,digit,t,baseMinusT;basic=input.lastIndexOf(delimiter);if(basic<0){basic=0}for(j=0;j=128){error("not-basic")}output.push(input.charCodeAt(j))}for(index=basic>0?basic+1:0;index=inputLength){error("invalid-input")}digit=basicToDigit(input.charCodeAt(index++));if(digit>=base||digit>floor((maxInt-i)/w)){error("overflow")}i+=digit*w;t=k<=bias?tMin:k>=bias+tMax?tMax:k-bias;if(digitfloor(maxInt/baseMinusT)){error("overflow")}w*=baseMinusT}out=output.length+1;bias=adapt(i-oldi,out,oldi==0);if(floor(i/out)>maxInt-n){error("overflow")}n+=floor(i/out);i%=out;output.splice(i++,0,n)}return ucs2encode(output)}function encode(input){var n,delta,handledCPCount,basicLength,bias,j,m,q,k,t,currentValue,output=[],inputLength,handledCPCountPlusOne,baseMinusT,qMinusT;input=ucs2decode(input);inputLength=input.length;n=initialN;delta=0;bias=initialBias;for(j=0;j=n&¤tValuefloor((maxInt-delta)/handledCPCountPlusOne)){error("overflow")}delta+=(m-n)*handledCPCountPlusOne;n=m;for(j=0;jmaxInt){error("overflow")}if(currentValue==n){for(q=delta,k=base;;k+=base){t=k<=bias?tMin:k>=bias+tMax?tMax:k-bias;if(q0&&len>maxKeys){len=maxKeys}for(var i=0;i=0){kstr=x.substr(0,idx);vstr=x.substr(idx+1)}else{kstr=x;vstr=""}k=decodeURIComponent(kstr);v=decodeURIComponent(vstr);if(!hasOwnProperty(obj,k)){obj[k]=v}else if(isArray(obj[k])){obj[k].push(v)}else{obj[k]=[obj[k],v]}}return obj};var isArray=Array.isArray||function(xs){return Object.prototype.toString.call(xs)==="[object Array]"}},{}],8:[function(require,module,exports){"use strict";var stringifyPrimitive=function(v){switch(typeof v){case"string":return v;case"boolean":return v?"true":"false";case"number":return isFinite(v)?v:"";default:return""}};module.exports=function(obj,sep,eq,name){sep=sep||"&";eq=eq||"=";if(obj===null){obj=undefined}if(typeof obj==="object"){return map(objectKeys(obj),function(k){var ks=encodeURIComponent(stringifyPrimitive(k))+eq;if(isArray(obj[k])){return map(obj[k],function(v){return ks+encodeURIComponent(stringifyPrimitive(v))}).join(sep)}else{return ks+encodeURIComponent(stringifyPrimitive(obj[k]))}}).join(sep)}if(!name)return"";return encodeURIComponent(stringifyPrimitive(name))+eq+encodeURIComponent(stringifyPrimitive(obj))};var isArray=Array.isArray||function(xs){return Object.prototype.toString.call(xs)==="[object Array]"};function map(xs,f){if(xs.map)return xs.map(f);var res=[];for(var i=0;i",'"',"`"," ","\r","\n"," "],unwise=["{","}","|","\\","^","`"].concat(delims),autoEscape=["'"].concat(unwise),nonHostChars=["%","/","?",";","#"].concat(autoEscape),hostEndingChars=["/","?","#"],hostnameMaxLen=255,hostnamePartPattern=/^[a-z0-9A-Z_-]{0,63}$/,hostnamePartStart=/^([a-z0-9A-Z_-]{0,63})(.*)$/,unsafeProtocol={javascript:true,"javascript:":true},hostlessProtocol={javascript:true,"javascript:":true},slashedProtocol={http:true,https:true,ftp:true,gopher:true,file:true,"http:":true,"https:":true,"ftp:":true,"gopher:":true,"file:":true},querystring=require("querystring");function urlParse(url,parseQueryString,slashesDenoteHost){if(url&&isObject(url)&&url instanceof Url)return url;var u=new Url;u.parse(url,parseQueryString,slashesDenoteHost);return u}Url.prototype.parse=function(url,parseQueryString,slashesDenoteHost){if(!isString(url)){throw new TypeError("Parameter 'url' must be a string, not "+typeof url)}var rest=url;rest=rest.trim();var proto=protocolPattern.exec(rest);if(proto){proto=proto[0];var lowerProto=proto.toLowerCase();this.protocol=lowerProto;rest=rest.substr(proto.length)}if(slashesDenoteHost||proto||rest.match(/^\/\/[^@\/]+@[^@\/]+/)){var slashes=rest.substr(0,2)==="//";if(slashes&&!(proto&&hostlessProtocol[proto])){rest=rest.substr(2);this.slashes=true}}if(!hostlessProtocol[proto]&&(slashes||proto&&!slashedProtocol[proto])){var hostEnd=-1;for(var i=0;i127){newpart+="x"}else{newpart+=part[j]}}if(!newpart.match(hostnamePartPattern)){var validParts=hostparts.slice(0,i);var notHost=hostparts.slice(i+1);var bit=part.match(hostnamePartStart);if(bit){validParts.push(bit[1]);notHost.unshift(bit[2])}if(notHost.length){rest="/"+notHost.join(".")+rest}this.hostname=validParts.join(".");break}}}}if(this.hostname.length>hostnameMaxLen){this.hostname=""}else{this.hostname=this.hostname.toLowerCase()}if(!ipv6Hostname){var domainArray=this.hostname.split(".");var newOut=[];for(var i=0;i0?result.host.split("@"):false;if(authInHost){result.auth=authInHost.shift();result.host=result.hostname=authInHost.shift()}}result.search=relative.search;result.query=relative.query;if(!isNull(result.pathname)||!isNull(result.search)){result.path=(result.pathname?result.pathname:"")+(result.search?result.search:"")}result.href=result.format();return result}if(!srcPath.length){result.pathname=null;if(result.search){result.path="/"+result.search}else{result.path=null}result.href=result.format();return result}var last=srcPath.slice(-1)[0];var hasTrailingSlash=(result.host||relative.host)&&(last==="."||last==="..")||last==="";var up=0;for(var i=srcPath.length;i>=0;i--){last=srcPath[i];if(last=="."){srcPath.splice(i,1)}else if(last===".."){srcPath.splice(i,1);up++}else if(up){srcPath.splice(i,1);up--}}if(!mustEndAbs&&!removeAllDots){for(;up--;up){srcPath.unshift("..")}}if(mustEndAbs&&srcPath[0]!==""&&(!srcPath[0]||srcPath[0].charAt(0)!=="/")){srcPath.unshift("")}if(hasTrailingSlash&&srcPath.join("/").substr(-1)!=="/"){srcPath.push("")}var isAbsolute=srcPath[0]===""||srcPath[0]&&srcPath[0].charAt(0)==="/";if(psychotic){result.hostname=result.host=isAbsolute?"":srcPath.length?srcPath.shift():"";var authInHost=result.host&&result.host.indexOf("@")>0?result.host.split("@"):false;if(authInHost){result.auth=authInHost.shift();result.host=result.hostname=authInHost.shift()}}mustEndAbs=mustEndAbs||result.host&&srcPath.length;if(mustEndAbs&&!isAbsolute){srcPath.unshift("")}if(!srcPath.length){result.pathname=null;result.path=null}else{result.pathname=srcPath.join("/")}if(!isNull(result.pathname)||!isNull(result.search)){result.path=(result.pathname?result.pathname:"")+(result.search?result.search:"")}result.auth=relative.auth||result.auth;result.slashes=result.slashes||relative.slashes;result.href=result.format();return result};Url.prototype.parseHost=function(){var host=this.host;var port=portPattern.exec(host);if(port){port=port[0];if(port!==":"){this.port=port.substr(1)}host=host.substr(0,host.length-port.length)}if(host)this.hostname=host};function isString(arg){return typeof arg==="string"}function isObject(arg){return typeof arg==="object"&&arg!==null}function isNull(arg){return arg===null}function isNullOrUndefined(arg){return arg==null}},{punycode:6,querystring:9}],11:[function(require,module,exports){var $=require("jquery");function toggleDropdown(e){var $dropdown=$(e.currentTarget).parent().find(".dropdown-menu");$dropdown.toggleClass("open");e.stopPropagation();e.preventDefault()}function closeDropdown(e){$(".dropdown-menu").removeClass("open")}function init(){$(document).on("click",".toggle-dropdown",toggleDropdown);$(document).on("click",".dropdown-menu",function(e){e.stopPropagation()});$(document).on("click",closeDropdown)}module.exports={init:init}},{jquery:1}],12:[function(require,module,exports){var $=require("jquery");module.exports=$({})},{jquery:1}],13:[function(require,module,exports){var $=require("jquery");var _=require("lodash");var storage=require("./storage");var dropdown=require("./dropdown");var events=require("./events");var state=require("./state");var keyboard=require("./keyboard");var navigation=require("./navigation");var sidebar=require("./sidebar");var toolbar=require("./toolbar");function start(config){sidebar.init();keyboard.init();dropdown.init();navigation.init();toolbar.createButton({index:0,icon:"fa fa-align-justify",onClick:function(e){e.preventDefault();sidebar.toggle()}});events.trigger("start",config);navigation.notify()}var gitbook={start:start,events:events,state:state,toolbar:toolbar,sidebar:sidebar,storage:storage,keyboard:keyboard};var MODULES={gitbook:gitbook,jquery:$,lodash:_};window.gitbook=gitbook;window.$=$;window.jQuery=$;gitbook.require=function(mods,fn){mods=_.map(mods,function(mod){mod=mod.toLowerCase();if(!MODULES[mod]){throw new Error("GitBook module "+mod+" doesn't exist")}return MODULES[mod]});fn.apply(null,mods)};module.exports={}},{"./dropdown":11,"./events":12,"./keyboard":14,"./navigation":16,"./sidebar":18,"./state":19,"./storage":20,"./toolbar":21,jquery:1,lodash:2}],14:[function(require,module,exports){var Mousetrap=require("mousetrap");var navigation=require("./navigation");var sidebar=require("./sidebar");function bindShortcut(keys,fn){Mousetrap.bind(keys,function(e){fn();return false})}function init(){bindShortcut(["right"],function(e){navigation.goNext()});bindShortcut(["left"],function(e){navigation.goPrev()});bindShortcut(["s"],function(e){sidebar.toggle()})}module.exports={init:init,bind:bindShortcut}},{"./navigation":16,"./sidebar":18,mousetrap:3}],15:[function(require,module,exports){var state=require("./state");function showLoading(p){state.$book.addClass("is-loading");p.always(function(){state.$book.removeClass("is-loading")});return p}module.exports={show:showLoading}},{"./state":19}],16:[function(require,module,exports){var $=require("jquery");var url=require("url");var events=require("./events");var state=require("./state");var loading=require("./loading");var usePushState=typeof history.pushState!=="undefined";function handleNavigation(relativeUrl,push){var uri=url.resolve(window.location.pathname,relativeUrl);notifyPageChange();location.href=relativeUrl;return;return loading.show($.get(uri).done(function(html){if(push)history.pushState({path:uri},null,uri);html=html.replace(/<(\/?)(html|head|body)([^>]*)>/gi,function(a,b,c,d){return"<"+b+"div"+(b?"":' data-element="'+c+'"')+d+">"});var $page=$(html);var $pageHead=$page.find("[data-element=head]");var $pageBody=$page.find(".book");document.title=$pageHead.find("title").text();var $head=$("head");$head.find("link[rel=prev]").remove();$head.find("link[rel=next]").remove();$head.append($pageHead.find("link[rel=prev]"));$head.append($pageHead.find("link[rel=next]"));var bodyClass=$(".book").attr("class");var scrollPosition=$(".book-summary .summary").scrollTop();$pageBody.toggleClass("with-summary",$(".book").hasClass("with-summary"));$(".book").replaceWith($pageBody);$(".book").attr("class",bodyClass);$(".book-summary .summary").scrollTop(scrollPosition);state.update($("html"));preparePage()}).fail(function(e){location.href=relativeUrl}))}function updateNavigationPosition(){var bodyInnerWidth,pageWrapperWidth;bodyInnerWidth=parseInt($(".body-inner").css("width"),10);pageWrapperWidth=parseInt($(".page-wrapper").css("width"),10);$(".navigation-next").css("margin-right",bodyInnerWidth-pageWrapperWidth+"px")}function notifyPageChange(){events.trigger("page.change")}function preparePage(notify){var $bookBody=$(".book-body");var $bookInner=$bookBody.find(".body-inner");var $pageWrapper=$bookInner.find(".page-wrapper");updateNavigationPosition();$bookInner.scrollTop(0);$bookBody.scrollTop(0);if(notify!==false)notifyPageChange()}function isLeftClickEvent(e){return e.button===0}function isModifiedEvent(e){return!!(e.metaKey||e.altKey||e.ctrlKey||e.shiftKey)}function handlePagination(e){if(isModifiedEvent(e)||!isLeftClickEvent(e)){return}e.stopPropagation();e.preventDefault();var url=$(this).attr("href");if(url)handleNavigation(url,true)}function goNext(){var url=$(".navigation-next").attr("href");if(url)handleNavigation(url,true)}function goPrev(){var url=$(".navigation-prev").attr("href");if(url)handleNavigation(url,true)}function init(){$.ajaxSetup({});if(location.protocol!=="file:"){history.replaceState({path:window.location.href},"")}window.onpopstate=function(event){if(event.state===null){return}return handleNavigation(event.state.path,false)};$(document).on("click",".navigation-prev",handlePagination);$(document).on("click",".navigation-next",handlePagination);$(document).on("click",".summary [data-path] a",handlePagination);$(window).resize(updateNavigationPosition);preparePage(false)}module.exports={init:init,goNext:goNext,goPrev:goPrev,notify:notifyPageChange}},{"./events":12,"./loading":15,"./state":19,jquery:1,url:10}],17:[function(require,module,exports){module.exports={isMobile:function(){return document.body.clientWidth<=600}}},{}],18:[function(require,module,exports){var $=require("jquery");var _=require("lodash");var storage=require("./storage");var platform=require("./platform");var state=require("./state");function toggleSidebar(_state,animation){if(state!=null&&isOpen()==_state)return;if(animation==null)animation=true;state.$book.toggleClass("without-animation",!animation);state.$book.toggleClass("with-summary",_state);storage.set("sidebar",isOpen())}function isOpen(){return state.$book.hasClass("with-summary")}function init(){if(platform.isMobile()){toggleSidebar(false,false)}else{toggleSidebar(storage.get("sidebar",true),false)}$(document).on("click",".book-summary li.chapter a",function(e){if(platform.isMobile())toggleSidebar(false,false)})}function filterSummary(paths){var $summary=$(".book-summary");$summary.find("li").each(function(){var path=$(this).data("path");var st=paths==null||_.contains(paths,path);$(this).toggle(st);if(st)$(this).parents("li").show()})}module.exports={init:init,isOpen:isOpen,toggle:toggleSidebar,filter:filterSummary}},{"./platform":17,"./state":19,"./storage":20,jquery:1,lodash:2}],19:[function(require,module,exports){var $=require("jquery");var url=require("url");var path=require("path");var state={};state.update=function(dom){var $book=$(dom.find(".book"));state.$book=$book;state.level=$book.data("level");state.basePath=$book.data("basepath");state.innerLanguage=$book.data("innerlanguage");state.revision=$book.data("revision");state.filepath=$book.data("filepath");state.chapterTitle=$book.data("chapter-title");state.root=url.resolve(location.protocol+"//"+location.host,path.dirname(path.resolve(location.pathname.replace(/\/$/,"/index.html"),state.basePath))).replace(/\/?$/,"/");state.bookRoot=state.innerLanguage?url.resolve(state.root,".."):state.root};state.update($);module.exports=state},{jquery:1,path:4,url:10}],20:[function(require,module,exports){var baseKey="";module.exports={setBaseKey:function(key){baseKey=key},set:function(key,value){key=baseKey+":"+key;try{localStorage[key]=JSON.stringify(value)}catch(e){}},get:function(key,def){key=baseKey+":"+key;if(localStorage[key]===undefined)return def;try{var v=JSON.parse(localStorage[key]);return v==null?def:v}catch(err){return localStorage[key]||def}},remove:function(key){key=baseKey+":"+key;localStorage.removeItem(key)}}},{}],21:[function(require,module,exports){var $=require("jquery");var _=require("lodash");var events=require("./events");var buttons=[];function insertAt(parent,selector,index,element){var lastIndex=parent.children(selector).size();if(index<0){index=Math.max(0,lastIndex+1+index)}parent.append(element);if(index",{"class":"dropdown-menu",html:'
      '});if(_.isString(dropdown)){$menu.append(dropdown)}else{var groups=_.map(dropdown,function(group){if(_.isArray(group))return group;else return[group]});_.each(groups,function(group){var $group=$("
      ",{"class":"buttons"});var sizeClass="size-"+group.length;_.each(group,function(btn){btn=_.defaults(btn||{},{text:"",className:"",onClick:defaultOnClick});var $btn=$("