drop_row_if: Conditionally drop rows based on percent missingness

In Nelson-Gon/mde: Missing Data Explorer

Conditionally drop rows based on percent missingness

Description

Conditionally drop rows based on percent missingness

Usage

drop_row_if(df, sign = "gt", type = "count", value = 20, as_percent = TRUE)

Arguments

df	A data.frame object
sign	Character. One of gteq,lteq,lt,gt or eq which refer to greater than(gt) or equal(eq) or less than(lt) or equal to(eq) respectively.
type	One of either count or percent. Defaults to count
value	Value to use for the drop.
as_percent	Logical. If set to TRUE, percent_na is treated as a percentage. Otherwise, decimals(fractions) are used.

Examples

head(drop_row_if(airquality,sign = "gteq",
type = "percent",value=16, as_percent = TRUE))
# should give the same output as above.
head(drop_row_if(airquality, sign="gteq", type="percent",value = 0.15, as_percent=FALSE))
# Drop based on NA counts
df <- data.frame(A=1:5, B=c(1,NA,NA,2, 3), C= c(1,NA,NA,2,3))
drop_row_if(df, type="count",value=2,sign="eq")

Nelson-Gon/mde documentation built on March 23, 2022, 10:58 p.m.