is.na10: Indicates which elements are missing (either 1 and 0)

In heatmaply: Interactive Cluster Heat Maps Using 'plotly' and 'ggplot2'

Indicates which elements are missing (either 1 and 0)

Description

is.na10 is a helper function for creating heatmaps to diagnose missing value patterns. It is similar to is.na but instead of returning a logical TRUE/FALSE vector (or matrix) it returns a numeric 1/0 output. This enables the heatmaply function to be used on the data.

Usage

is.na10(x, ...)

Arguments

x	a vector, matrix or data.frame.
...	not used.

Value

Returns a numeric (instead of a logical) variable/matrix of 1 (missing) or 0 (not missing) values (hence the name is.na10) while still preserving the attributes resulted from running is.na.

These are useful for funnelling into a heatmap (see the examples).

See Also

is.na, the grid_gap parameter in heatmaply.

Examples

## Not run: 
x <- mtcars
x <- data.frame(x)
x$am <- factor(x$am)
x$vs <- factor(x$vs)
set.seed(2017 - 01 - 19)
x[sample(nrow(x))[1:6], sample(ncol(x))[1:6]] <- NA


# nice grey colors from here: https://github.com/njtierney/visdat/blob/master/R/vis_miss_ly.R
x %>%
  is.na10() %>%
  heatmaply(colors = c("grey80", "grey20"), dendrogram = "none")
x %>%
  is.na10() %>%
  heatmaply(colors = c("grey80", "grey20"), k_col = 2, k_row = 2)

heatmaply(is.na10(airquality),
  grid_gap = 1,
  colors = c("grey80", "grey20"), k_col = 2, k_row = 2
)

## End(Not run)

heatmaply documentation built on Oct. 7, 2023, 1:07 a.m.