Description Usage Arguments Value See Also Examples
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.
1 |
x |
a vector, matrix or data.frame. |
... |
not used. |
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).
is.na, the grid_gap parameter in heatmaply.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ## 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)
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