Robust statistical inference for quantitative LC-MS proteomics


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Documentation for package ‘MSqRob’ version 0.7.7

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addFactorInteractions Add a combination of two or more factor variables to a protData object
addVarFromVar Add a variable to a protdata object based on an existing column
adjustNames Adjust the names of the elements in a list of dataframes
contr.ltfr_MSqRob Create A Full Set of Dummy Variables
countPeptides Count the number of peptides in each group
cutOffPval Find cut off for p-values enriched in values close to 1
df2protdata Data frame to protein data
dummyVars_MSqRob Create A Full Set of Dummy Variables
dummyVars_MSqRob.default Create A Full Set of Dummy Variables
fdrtool_subset Estimate (Local) False Discovery Rates For Diverse Test Statistics
fit.model Fit peptide-based models
getAccessions-method Extract the accession slot of a protLM object
getAccessions-method Extract the accession slot of a protdata object
getAnnotations-method Extract the annotation slot of a protLM object
getAnnotations-method Extract the annotation slot of a protdata object
getBetaVcovDf-method Get beta, vcov, df and sigma from a generalized linear model
getBetaVcovDf-method Get beta, vcov, df and sigma from a generalized linear mixed model
getBetaVcovDf-method Get beta, vcov, df and sigma from an ordinary linear model
getBetaVcovDf-method Get beta, vcov, df and sigma from a linear mixed model
getBetaVcovDfList Get a list of beta, vcov, df and sigma from a protLM object
getData-method Extract the data slot of a protdata object
getModels-method Extract the model slot of a protLM object
getPData-method Extract the annotation slot of a protdata object
getThetaVars Get variances and degrees of freedom of model parameters
get_qvals Adjust P-values for Multiple Comparisons
import2MSnSet Import a file in a prespecified format and convert it to an MSnSet object
importDIAData Import data independent acquisition files
index2Numeric Convert index to only numeric values
init_ann_MQ_Excel Initialize an annotation Excel file based on a MaxQuant peptides.txt file
inspect_loads_MSqRob Inspect the variables present in a data.frame from binary file
length-method Length of a protLM object
length-method Length of a protdata object
loads_MSqRob Loading only given variables of a data.frame from binary file
makeAnnotation Create an annotation data frame
makeContrast Create a contrast matrix
MSnSet2protdata MSnSet to protein data
pasteAnnotation Add annotations to a data frame in "long" format
plot_fdrtool Make diagnostic plots for fdrtool results
predict.dummyVars_MSqRob Create A Full Set of Dummy Variables
preprocess_generic Preprocess MSnSet objects originating from prespecified file formats
preprocess_long Preprocess data in "long" format
preprocess_MaxQuant Preprocess MSnSet objects originating from MaxQuant peptides.txt files
preprocess_MSnSet Preprocess MSnSet objects
preprocess_wide Preprocess data in "wide" format
prot.p.adjust Adjust P-values for Multiple Comparisons
prot.p.adjust_protwise Adjust P-values for Multiple Comparisons per Protein
prot.signif Assess significance of q-values and sort by significance
protdata-class Protein Data Object - class
protLM-class Protein Linear Model Object - class
read2MSnSet Import a file and convert it to an MSnSet object
read_MaxQuant Import a MaxQuant peptides.txt file
read_moFF Import a peptides summary file produced by moFF
saves_MSqRob Save the variables of a data.frame in distinct binary files
selectAccessions-method Select accessions from a protdata object
setAccessions-method Change the accession slot of a protLM object
setAccessions-method Change the accession slot of a protdata object
setAnnotations-method Change the annotation slot of a protLM object
setAnnotations-method Change the annotation slot of a protdata object
setData-method Change the data slot of a protdata object
setModels-method Change the model slot of a protLM object
smallestUniqueGroups Smallest unique protein groups
squeezePars Squeeze variances and other parameters
squeezeThetas Squeeze variances and other parameters
squeezeVarRob Robustly Squeeze Sample Variances
test.ANOVA ANOVA for multiple contrasts
test.contrast Test a contrast
test.contrast_adjust Test a contrast and perform FDR correction
test.contrast_stagewise Perform stage-wise contrast testing
test.protLMcontrast Test a contrast
update.lmerMod Update lmerMod object with new thetas without changing the pointers of other objects
update_protLM Update protLM object with new parameter variances and residual variances
[-method Select elements from a protLM object
[-method Select elements from a protdata object