A function to give the summary of the CV's by the sampleID
cv_by_sample_estimation(
dataCV,
cv_variable,
lab_replicates,
sampleID_var = "sampleID"
)A dataframe
A character string containing the identifier of the variable with CV values.
A numeric value indicating the number of lab replicates.
A character string containing the name of the sample identifier variable. Default set to 'sampleID'
A data frame of CV calculated by sample
Summarise CV by samples
dataC <- readr::read_csv(system.file("extdata",
"dataC.csv", package="protGear"))
#> Rows: 567 Columns: 11
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (3): sampleID, antigen, iden
#> dbl (8): sample_array_ID, FMedian, BGMedian, FMedianBG_correct, Block, Colum...
#>
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
## this file has 3 lab replicates and the default names
dataCV <- cv_estimation(dataC ,lab_replicates=3)
#> Warning: The replicates are as expected per sample per antigen
cv_by_sample_estimation(dataCV, cv_variable = "cvCat_all",
lab_replicates = 3)
#> # A tibble: 21 × 7
#> sampleID `CV <= 20_n` `CV <= 20_perc` `CV > 20_n` CV > 20_p…¹ Other…² Other…³
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 0.0085 5 83.3 1 16.7 0 0
#> 2 0.0255 3 50 2 33.3 1 16.7
#> 3 0.076 3 50 2 33.3 1 16.7
#> 4 0.23 4 66.7 2 33.3 0 0
#> 5 0.73 4 66.7 1 16.7 1 16.7
#> 6 177.78 6 100 0 0 0 0
#> 7 19.75 5 83.3 1 16.7 0 0
#> 8 2.19 3 50 3 50 0 0
#> 9 533 6 100 0 0 0 0
#> 10 59.26 5 83.3 1 16.7 0 0
#> # … with 11 more rows, and abbreviated variable names ¹`CV > 20_perc`,
#> # ²Others_n, ³Others_perc