filter: Metric filter

In AnderEhu/sme:

Description

Metric filter

Usage

filter(
  df,
  class,
  by = "AUC",
  uplimit = .Machine$integer.max,
  lowlimit = -.Machine$integer.max
)

Arguments

df	data.frame. Each colum represent a variable
class	name of the class variable
by	metric to apply the filter. AUC, Variance and Entropy are available.
uplimit	metric uplimit value
lowlimit	metric uplimit value. Default

Value

Filtered data.frame

Examples

class <- c(rep(TRUE, 50), rep(FALSE, 50))
pos <- sample.int(100, 100)
random.y <- class[order(pos)]
df.numeric <- data.frame("V1" = sample.int(10,100,replace=TRUE), "V2" = sample.int(10,100,replace=TRUE), "V3" = sample.int(100,100,replace=TRUE), "Class" =  random.y)
df.cat <- data.frame("V1" = as.factor(sample.int(3,100,replace=TRUE)), "V2" =  as.factor(sample.int(3,100,replace=TRUE)),  "V4" =  as.factor(sample.int(3,100,replace=TRUE)), "Class" =  random.y)
filter(df.numeric, class = "Class", by = "AUC", uplimit = 1, lowlimit = 0.5)
filter(df.numeric, class = "Class", by = "Variance", uplimit = 100, lowlimit = 0)
filter(df.cat, class = "Class", by = "Entropy", uplimit = 2, lowlimit = 0)
filter(df.cat, class = "Class", by = "Entropy")

AnderEhu/sme documentation built on Jan. 31, 2022, 12:01 a.m.