Read breathtest files of any format — read_any

Uses breathtest_read_function to determine the file type and reads it if it has a valid format.

Usage

read_any_breathtest(files)

Arguments

files: A single filename, a list or a character vector of filenames.

Value

A list of breathtest_data, even if only one file was passed. The list can be passed to cleanup_data

to extract one concatenated data frame for processing with nls_fit, nlme_fit, null_fit (no processing) or stan_fit in separate package breathteststan.

Examples

files = c(
  group_a = btcore_file("IrisCSV.TXT"),
  group_a = btcore_file("350_20043_0_GER.txt"),
  group_b = btcore_file("IrisMulti.TXT"),
  group_b = btcore_file("NewBreathID_01.xml")  
 )
 bt = read_any_breathtest(files)
 str(bt, 1)
#> List of 4
#>  $ group_a:List of 23
#>   ..- attr(*, "class")= chr "breathtest_data"
#>  $ group_a:List of 23
#>   ..- attr(*, "class")= chr "breathtest_data"
#>  $ group_b:List of 23
#>   ..- attr(*, "class")= chr "breathtest_data"
#>  $ group_b:List of 23
#>   ..- attr(*, "class")= chr "breathtest_data"
#>  - attr(*, "class")= chr "breathtest_data_list"
 # Passing through cleanup_data gives a data frame/tibble
 bt_df = cleanup_data(bt)
 str(bt_df)
#> tibble [136 × 4] (S3: tbl_df/tbl/data.frame)
#>  $ patient_id: chr [1:136] "123456" "123456" "123456" "123456" ...
#>  $ group     : chr [1:136] "group_a" "group_a" "group_a" "group_a" ...
#>  $ minute    : num [1:136] 0.01 10 20 45 60 75 90 105 120 140 ...
#>  $ pdr       : num [1:136] 0 1.11 2.86 4.87 5.19 ...
 # If you want data only, use null_fit()
 plot(null_fit(bt_df))

 # Plot population fit with decimated data
 plot(nlme_fit(bt_df))