# qmval

0th

Percentile

##### Draw a missing value plot

A missing value plot shows the counts or proportions of missing values in each variable. It is essentially a stacked bar plot, i.e. a bar plot of variables split by the logical vectors of missingness of observations.

##### Usage
qmval(vars, data, horizontal = TRUE, standardize = TRUE, ...)
##### Arguments
vars
variables to show in the plot: a character vector of variable names, or a numeric vector of column indices, or a two-sided formula like ~ x1 + x2 + x3 (without the left-hand side); see var_names
...
arguments passed to qbar
data
a mutaframe created by qdata
horizontal
TRUE to draw a horizontal plot or FALSE (vertical)
standardize
logical: whether to standardize the height of each bar to 1
##### Details

As usual, common interactions are defined in common_key_press. Brushing on a missing value plot has a slightly different meaning with brushing other types of plots: if a rectangle is brushed in a missing value plot, all rows in the orginal data in which the current variable is brushed (i.e. either missing or non-missing) are brushed; on the other hand, the brushed rows in the original data will also be reflected in the missing value plot.

This plot is built upon the bar plot qbar.

##### Value

A missing value plot

Other plots: qbar; qboxplot; qdensity; qhist, qspine; qparallel; qtime

• qmval
##### Examples
library(cranvas)

## BRFSS data
qbrfss <- qdata(brfss)
qmval(names(brfss)[40:50], data = qbrfss)
qmval(51:68, data = qbrfss)
qmval(~poorhlth + fruit + greensal, data = qbrfss)

qparallel(100:110, data = qbrfss)

## TAO data
data(tao, package = "tourr")

qtao <- qdata(tao)
qmval(~., data = qtao)
qmval(~., data = qtao, horizontal = FALSE, standardize = FALSE,
main = "horizontal plot with counts")
qscatter(longitude, latitude, data = qtao)

cranvas_off()

Documentation reproduced from package cranvas, version 0.8.5, License: GPL

### Community examples

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