Description Usage Arguments Details Examples
Generate variable clustering diagrams for each time period.
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data |
data.frame. Data used for report. |
time |
numeric vector. Time for each record. |
times |
numeric vector. Subset of times to use. |
nmin |
numeric. Variables must have four responses or at least |
Variables are grouped according to how they are correlated with one another, as measured by the square of the Spearman ρ rank correlation coefficient computed on all pairs of variables. Variables connected on lower branches are more highly correlated with one another. Variables missing in more than 75 observations or categorical variables having more than 20 levels are ignored. Categories less than 0.1 prevalent are pooled with other rare categories.
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