centerCond | R Documentation |
Sets the x/y/z-values of markers in parameter colNames
defined
variable columns to 0 at the start of every condition defined in parameter
colNameCond
. This is done for every subject defined by column
colNameSubj
.
centerCond(
data,
colNames,
colNameSubj,
colNameFrames,
colNameCond,
maxCPUcores = 4,
verbose = FALSE
)
data |
Data frame containig the columns which should be centered and additional columns defining subject number, stimulus conditions, frames, etc. Columns not to be centered will return unchanged. |
colNames |
Character vector with names of the columns which should be centered. |
colNameSubj |
Character vector with a single value containig the name of the subject column. It is assumed, that each experimental condition occurres only once per subject |
colNameFrames |
Character vector with a single value containig the name of the frames column. |
colNameCond |
Character vector with a single value containing the experimental conditions column name of the data frame. |
maxCPUcores |
Optional integer value. Per default, all available CPU
cores up to 4 are used. If more or less cores should be used, set it via
the parameter |
verbose |
If TRUE, the function prints verbose output. Otherwise not. |
Data frame with centered columns per subject and per stimulus condition.
Axel Zinkernagel zinkernagel@uni-wuppertal.de
colNames <- c("A7_x", "A7_y", "A8_x", "A8_y",
"BL2_x", "BL2_y", "BL4_x", "BL4_y",
"BL5_x", "BL5_y", "BL7_x", "BL7_y",
"BR2_x", "BR2_y", "BR4_x", "BR4_y",
"BR5_x", "BR5_y", "BR7_x", "BR7_y",
"CL4_x", "CL4_y", "CL7_x", "CL7_y",
"CR4_x", "CR4_y", "CR7_x", "CR7_y",
"DL2_x", "DL2_y", "DR2_x", "DR2_y")
# To not overwrite existing data, use a new data frame
# (dataStdFCen means data of standaradized faces, centered)
dataStdFCen <- centerCond(dataStdF, colNames = colNames,
colNameSubj = "subject", colNameFrames = "Frame",
colNameCond = "Stimulustype", maxCPUcores = 1,
verbose = TRUE)
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