actiread reads raw actigraphy files and returns tidy data frames that
are ready for downstream analysis.
It currently focuses on:
- reading
gt3xfiles - reading
cwafiles - loading small example files bundled with the package
- inspecting GT3X header metadata
- handling timezone conversion during import
You can install actiread from GitHub with:
# install.packages("remotes")
remotes::install_github("jhuwit/actiread")library(actibase)
library(actiread)
gt3x_file = acti_example_gt3x()
cwa_file = acti_example_cwa()
gt3x = acti_read_gt3x(gt3x_file, verbose = FALSE)
cwa = acti_read_cwa(cwa_file, verbose = FALSE)
head(gt3x)
#> # A tibble: 6 × 4
#> time X Y Z
#> <dttm> <dbl> <dbl> <dbl>
#> 1 2019-09-17 22:40:00 0 0.008 0.996
#> 2 2019-09-17 22:40:00 0.016 0 1.01
#> 3 2019-09-17 22:40:00 0.02 -0.008 1.00
#> 4 2019-09-17 22:40:00 0.016 -0.012 1.01
#> 5 2019-09-17 22:40:00 0.016 -0.008 1.01
#> 6 2019-09-17 22:40:00 0.008 -0.008 1.01
head(cwa)
#> # A tibble: 6 × 7
#> time x y z temp battery light
#> <dttm> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 2019-02-26 10:55:06 0.328 0.984 0.203 25.6 0 283
#> 2 2019-02-26 10:55:06 0.822 -0.343 -0.368 25.6 0 283
#> 3 2019-02-26 10:55:06 0.874 -0.390 -0.390 25.6 0 283
#> 4 2019-02-26 10:55:06 0.890 -0.391 -0.391 25.6 0 283
#> 5 2019-02-26 10:55:06 0.891 -0.376 -0.391 25.6 0 283
#> 6 2019-02-26 10:55:06 0.876 -0.360 -0.376 25.6 0 283
res = acti_standardize_data(gt3x)
resampled = acti_resample(res, sample_rate = 30L)
get_transformations(resampled)
#> [1] "acti_resample:sample_rate_attribute_changed_to_30"
#> [2] "acti_resample:linear_resampled_to_30Hz"
#> [3] "acti_read_gt3x:timezone_GMT_forced"
#> [4] "acti_read_gt3x:timezone_Etc/GMT-4_applied"
#> [5] "acti_read_gt3x:attributes_set"
#> [6] "acti_fill_zeros:filled_zeros"
#> [7] "acti_read_gt3x:data_read"``` r
tzoffset_to_tz(c("+00:00", "-05:00", "+01:00"))
#> [1] "Etc/GMT0" "Etc/GMT-5" "Etc/GMT+1"
actiread is a focused import layer for actigraphy data:
- read GT3X files with
acti_read_gt3x() - read CWA files with
acti_read_cwa() - inspect GT3X metadata with
acti_info_gt3x() - use bundled sample files with
acti_example_gt3x()andacti_example_cwa() - control timezone handling during import with
tzandapply_tz
The readers return tidy objects with attached metadata such as the file header and sampling rate, which makes it straightforward to hand the result off to your own cleaning, summarization, or modeling code.