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Reads a wide CSV file with Feature Intensities

Usage

read_MassHunterCSV_wide(file, field, silent = FALSE)

Arguments

file

File name and path of the MassHunter Quant CSV file

field

Peak parameter (e.g. Area, RT)

silent

Suppress messages

Value

A tibble in the long format

Examples

library(SLINGtools)

data_file_path <- system.file("extdata",
  "Testdata_Lipidomics_MHQuant_Detailed.csv", package = "SLINGtools")
d_area <- read_MassHunterCSV_wide(data_file_path, field = "Area")
#> Reading [Testdata_Lipidomics_MHQuant_Detailed.csv] ...
#> Imported 215 samples with 428 transitions. 
d_area
#> # A tibble: 215 × 432
#>    DataFil…¹ AcqTimeStamp        Sampl…² VialP…³ CE 14…⁴ CE 15…⁵ CE 16…⁶ CE 16…⁷
#>    <chr>     <dttm>              <chr>   <chr>     <dbl>   <dbl>   <dbl>   <dbl>
#>  1 001_EQC_… 2018-04-12 18:28:00 Sample  Vial 2     1532     515  127953   40374
#>  2 002_EQC_… 2018-04-12 18:39:00 Sample  Vial 2     1029     911  119645   43932
#>  3 003_EQC_… 2018-04-12 18:51:00 Sample  Vial 2      685     649  142635   44512
#>  4 004_EQC_… 2018-04-12 19:02:00 Sample  Vial 2     1283     576  132391   45639
#>  5 005_EQC_… 2018-04-12 19:13:00 Sample  Vial 2      946     732  141413   44897
#>  6 006_EBLK… 2018-04-12 19:25:00 Sample  P1-A1       132      75     286     176
#>  7 007_SOLV… 2018-04-12 19:36:00 Sample  Vial 1      241      56      26     148
#>  8 008_LTR_… 2018-04-12 19:48:00 Sample  P1-A2      1118     905  135278   58472
#>  9 009_NIST… 2018-04-12 19:59:00 Sample  P1-A3      1499     482  127473   63573
#> 10 010_TQCd… 2018-04-12 20:11:00 Sample  Vial 4       77      96     176     208
#> # … with 205 more rows, 424 more variables: `CE 16:2` <dbl>, `CE 17:0` <dbl>,
#> #   `CE 17:1` <dbl>, `CE 18:0` <dbl>, `CE 18:1` <dbl>,
#> #   `CE 18:1 d7 (ISTD)` <dbl>, `CE 18:2` <dbl>, `CE 18:3` <dbl>,
#> #   `CE 20:1` <dbl>, `CE 20:2` <dbl>, `CE 20:3` <dbl>, `CE 20:4` <dbl>,
#> #   `CE 20:5` <dbl>, `CE 22:0` <dbl>, `CE 22:1` <dbl>, `CE 22:4` <dbl>,
#> #   `CE 22:5` <dbl>, `CE 22:6` <dbl>, `CE 24:4` <dbl>, `Cer d18:0/16:0` <dbl>,
#> #   `Cer d18:0/18:0` <dbl>, `Cer d18:0/20:0` <dbl>, `Cer d18:0/22:0` <dbl>, …