runLms: Run lm() ROI stats in a linear model, per your specifications

In caugolm/quants_qc_stats: QuANTs QC and basic stats tools

Description

Run lm() ROI stats in a linear model, per your specifications

Usage

runLms(df, regressionString, lut)

Arguments

df	A data frame in long format, organized as QuANTs-style output: dependent variable (freq. thicknesses, volumes, or cbf values, etc) in a column called "value" a column called "label" with the label numbers. Each row is one measurement for one person. Can have as many columns as you want (ie, ignores everything not specified") Also requires columns named as specified used as varOfInterest, covarOfInterest (if used), and otherCovarString (if used)
regressionString	An "lm-compatible" string of what you want your regression to be, using the column names of your df eg, "value~PatientGroup+AgeAtMRI+PatientGroup:AgeAtMRI"
lut	A look up table with label numbers in the first column and label names in the second column. Can have extra rows or columns, they will be ignored

Value

A list object with 3 elements 1) a df containing significant labels from the lm() 2) summay(lm()) output from each label in your input df 3) a plot for each region in your df 1) (ie, one plot for each significant label)

caugolm/quants_qc_stats documentation built on Nov. 22, 2020, 4:26 p.m.