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Preliminary

## load R package
library(msDiaLogue)
## preprocessing
fileName <- "../tests/testData/Toy_Spectronaut_Data.csv"
dataSet <- preprocessing(fileName,
                         filterNaN = TRUE, filterUnique = 2,
                         replaceBlank = TRUE, saveRm = TRUE)

Example

dataTran <- transform(dataSet, logFold = 2)

R.Condition R.Replicate NUD4B_HUMAN A0A7P0T808_HUMAN A0A8I5KU53_HUMAN ZN840_HUMAN CC85C_HUMAN TMC5B_HUMAN C9JEV0_HUMAN C9JNU9_HUMAN ALBU_BOVIN CYC_BOVIN TRFE_BOVIN KRT16_MOUSE F8W0H2_HUMAN H0Y7V7_HUMAN H0YD14_HUMAN H3BUF6_HUMAN H7C1W4_HUMAN H7C3M7_HUMAN TCPR2_HUMAN TLR3_HUMAN LRIG2_HUMAN RAB3D_HUMAN ADH1_YEAST LYSC_CHICK BGAL_ECOLI CYTA_HUMAN KPCB_HUMAN LIPL_HUMAN PIP_HUMAN CO6_HUMAN BGAL_HUMAN SYTC_HUMAN CASPE_HUMAN DCAF6_HUMAN DALD3_HUMAN HGNAT_HUMAN RFFL_HUMAN RN185_HUMAN ZN462_HUMAN ALKB7_HUMAN POLK_HUMAN ACAD8_HUMAN A0A7I2PK40_HUMAN NBDY_HUMAN H0Y5R1_HUMAN
100pmol 1 10.59617 11.629505 11.461371 8.315348 8.952781 8.833937 7.736180 7.889538 16.76292 13.39043 13.88204 10.81329 9.299651 10.357346 10.321521 8.132535 8.226486 10.173123 14.006782 7.486384 9.011536 10.26981 14.75235 13.75223 14.54110 9.262305 9.952103 8.781496 7.047859 7.234610 11.80494 14.71384 6.775489 7.725502 10.335975 10.939236 7.568272 10.111329 9.938277 7.496910 7.637679 7.712738 NA NA NA
100pmol 2 10.71487 12.159989 10.052500 8.659134 9.121174 8.968803 7.530568 8.294768 16.76875 13.37929 13.95131 NA 9.167541 10.121893 10.338709 8.086487 7.954448 10.011280 10.512493 7.735480 8.943620 10.21241 14.73246 13.76076 14.54854 9.322413 10.073449 8.509870 7.008875 7.002919 11.73674 14.70683 7.279609 8.445472 10.058467 10.559522 7.265925 10.348343 8.602358 6.939530 9.553050 7.950604 10.471813 NA NA
100pmol 3 10.46639 12.190792 11.088689 8.103769 9.127531 NA 6.797573 8.969260 16.69347 13.38042 13.87481 NA 9.260677 10.257840 9.885818 8.275007 8.080432 10.820332 14.395759 7.649245 8.418693 10.26143 14.69847 13.74438 14.48667 9.107695 10.200628 8.317577 NA 6.888870 11.77277 14.67310 6.520759 8.318009 9.970591 10.390675 7.161124 10.401629 8.748640 7.176720 7.418964 7.793871 10.883458 9.706811 NA
100pmol 4 10.66221 11.902450 11.010415 8.588923 9.124371 8.721258 6.397005 8.386462 16.67235 13.40449 13.88803 NA 9.792043 10.165829 10.092467 NA 7.841731 9.816296 14.485405 7.911680 8.707996 10.21790 14.67556 13.76742 14.44549 8.776573 10.183221 8.457541 NA 7.107332 11.76563 14.66124 6.463718 7.766514 8.936074 10.749752 6.643218 9.952253 8.620437 7.071718 7.181633 7.757381 10.653061 9.892252 9.835011
200pmol 1 10.56298 12.047141 10.969287 8.402065 7.288615 8.509940 7.197741 NA 16.73721 14.25302 14.39727 11.11126 8.941866 10.283605 10.077367 8.077610 7.977841 10.506136 14.365875 7.806321 8.293637 10.20088 15.57144 14.57129 15.33157 8.510688 10.232523 8.590645 6.031341 7.239260 11.79502 14.68066 6.343792 7.535170 9.876348 11.069962 7.034874 8.573870 8.746924 7.903880 7.180345 8.730611 11.190966 NA 9.710589
200pmol 2 10.53186 11.771837 11.088757 NA 9.104358 NA 7.085164 8.208757 16.79052 14.29292 14.48740 NA 9.387564 10.060966 NA 8.157292 8.019591 10.035834 14.652848 7.572173 8.822824 10.25298 15.60578 14.59469 15.38867 9.307350 10.269781 8.693930 NA 7.085982 11.84818 14.75441 6.120292 7.968111 9.994960 9.503153 6.860543 9.776460 8.775531 7.059936 7.330260 7.277041 NA 10.041446 9.966576
200pmol 3 10.60347 8.477484 11.155251 8.568416 9.140283 8.954421 6.690756 8.888482 16.80274 14.34340 14.33875 10.50303 9.196543 10.428428 10.222608 8.188220 7.525047 10.134101 NA 7.447663 8.755449 10.24829 15.62983 14.59826 15.38886 8.802237 10.080459 8.482341 NA 7.011984 11.78574 14.72607 5.956155 7.094894 10.194229 10.710537 6.776144 9.874052 9.152012 8.302428 7.197231 7.632834 10.449137 9.709462 9.439995
200pmol 4 10.57897 8.454127 11.118493 8.682375 8.194285 9.028272 6.572711 8.315126 16.82923 14.28224 14.43524 NA 9.074329 9.850693 10.123326 8.334982 6.609617 9.902441 NA 7.364369 NA 10.20847 15.71383 14.68721 15.40141 9.042105 10.131013 8.419983 NA 6.922516 11.87336 14.74952 6.137395 7.638402 9.960103 10.728447 6.969417 9.256541 8.984393 7.675486 7.339503 8.556645 9.807216 NA NA
50pmol 1 10.53159 9.132855 7.569305 8.045720 8.271192 NA 9.228590 7.587860 16.84602 12.72244 13.57268 NA 9.216503 9.812981 10.183775 8.187071 7.461197 9.276601 13.784136 7.253131 8.191030 10.21255 14.00214 12.80775 13.84634 11.543379 10.008055 8.172313 9.799682 7.019571 11.79277 14.64773 9.726148 7.192825 NA 8.849818 6.440419 8.545470 5.642106 7.884416 4.387496 7.153265 NA NA NA
50pmol 2 10.53736 NA 10.513980 8.347621 8.456285 NA 7.992943 8.269956 16.74828 12.71449 13.61215 NA 9.187083 9.054498 10.128672 8.165500 6.694638 9.730023 14.604574 7.135959 8.501088 10.29986 14.00533 12.92880 13.84713 9.743997 NA 8.497645 7.484646 7.382746 11.78545 14.68558 7.699266 7.371963 8.051031 10.210618 6.553276 9.585343 8.934897 7.199104 6.466231 6.666879 NA NA NA
50pmol 3 10.52018 5.409885 10.414587 6.392210 8.211960 8.629371 8.010051 8.125402 16.68880 12.59173 13.54185 10.42381 9.154545 NA 10.059451 8.200124 6.467420 9.528985 9.380464 NA NA 10.19961 14.02047 12.85969 13.78955 9.839974 9.954989 8.320282 7.007159 6.915251 11.75573 14.66720 7.669944 7.050670 8.187233 9.865682 6.547034 9.095644 8.043669 8.290176 6.805857 6.417115 NA NA NA
50pmol 4 10.54837 9.856548 10.487397 8.106476 7.921629 8.733797 7.627267 8.578971 16.75298 12.55756 13.55333 NA NA 9.212217 10.346652 8.406582 4.913458 9.770142 13.939516 7.154078 8.187412 10.16831 13.99104 12.88104 13.84928 9.792434 10.153070 NA 7.253251 NA 11.80386 14.66456 7.573424 7.782606 9.402638 9.961304 4.980612 9.031966 8.814051 7.359200 7.169527 7.079907 NA NA NA

Details

Raw mass spectrometry intensity measurements are often unsuitable for direct statistical modeling because the shape of the data is usually not symmetrical and the variance is not consistent across the range of intensities. Most proteomic workflows will convert these raw values with a log2_2 transformation, which both reshapes the data into a more symmetrical distribution, making it easier to interpret mean-based fold changes, and also stabilizes the variance across the intensity range (i.e. reduces heteroscedasticity).