missing_pairs | R Documentation |
Compare the occurence of missing values in all variables by each other.
Suggest limit the number of variables to a maximum of around six.
Dependent
and explanatory
are for convenience of variable
selection, are optional, and have no other specific function.
missing_pairs( .data, dependent = NULL, explanatory = NULL, use_labels = TRUE, title = NULL, position = "stack", showXAxisPlotLabels = TRUE, showYAxisPlotLabels = FALSE )
.data |
Data frame. |
dependent |
Character vector. Optional name of dependent variable. |
explanatory |
Character vector. Optional name(s) of explanatory variables. |
use_labels |
Use variable label names in plot labelling. |
title |
Character vector. Optional title for plot. |
position |
For discrete variables, choose "stack" or "fill" to show counts or proportions. |
showXAxisPlotLabels |
Show x-axis plot labels. |
showYAxisPlotLabels |
Show y-axis plot labels. |
A plot matrix comparing missing values in all variables against each other.
## Not run: explanatory = c("age", "nodes", "age.factor", "sex.factor", "obstruct.factor", "perfor.factor") dependent = 'mort_5yr' colon_s %>% missing_pairs(dependent, explanatory) ## End(Not run)
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