center_scale {ClusterR} | R Documentation |
Function to scale and/or center the data
center_scale(data, mean_center = TRUE, sd_scale = TRUE)
data |
matrix or data frame |
mean_center |
either TRUE or FALSE. If mean_center is TRUE then the mean of each column will be subtracted |
sd_scale |
either TRUE or FALSE. See the details section for more information |
If sd_scale is TRUE and mean_center is TRUE then each column will be divided by the standard deviation. If sd_scale is TRUE and mean_center is FALSE then each column will be divided by sqrt( sum(x^2) / (n-1) ). In case of missing values the function raises an error. In case that the standard deviation equals zero then the standard deviation will be replaced with 1.0, so that NaN's can be avoided by division
a matrix
data(dietary_survey_IBS)
dat = dietary_survey_IBS[, -ncol(dietary_survey_IBS)]
dat = center_scale(dat, mean_center = TRUE, sd_scale = TRUE)