Description Usage Arguments Value See Also Examples
An Empirical Percentile Transformation (percentize) is similar to taking the rank of a variable. The difference is that it is simpler to compare and interpret the transformed variables.
This is helpful for comparing several variables in a heatmap (e.g.: heatmaply).
1 | percentize(x, ...)
|
x |
a vector or a data.frame. |
... |
Currently ignored. |
A vector (or data.frame) after ecdf was used on that vector. If x is a data.frame then only the numeric variables are transformed.
normalize
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ## Not run:
x <- mtcars
x <- data.frame(x)
x$am <- factor(x$am)
x$vs <- factor(x$vs)
heatmaply(percentize(x))
x <- data.frame(a = 1:10, b = 11:20)
x[4:6, 1:2] <- NA
percentize(x)
percentize(x[,1])
## End(Not run)
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