plot_impute: Plot imputations

In imputeTestbench: Test Bench for the Comparison of Imputation Methods

Description

Plot imputations for data from multiple methods

Usage

plot_impute(dataIn, smps = "mcar", methods = c("na.approx",
  "na.interp", "na_interpolation", "na.locf", "na_mean"),
  methodPath = NULL, blck = 50, blckper = TRUE, missPercent = 50,
  showmiss = FALSE, addl_arg = NULL)

Arguments

dataIn	input ts for testing
smps	chr string indicating sampling type for generating missing data, see details
methods	chr string of imputation methods to use, one to many. A user-supplied function can be included if MethodPath is used.
methodPath	chr string of location of script containing one or more functions for the proposed imputation method(s)
blck	numeric indicating block sizes as a percentage of the sample size for the missing data, applies only if smps = 'mar'
blckper	logical indicating if the value passed to blck is a percentage of the sample size for missing data, otherwise blck indicates number of observations
missPercent	numeric for percent of missing values to be considered
showmiss	logical if removed values missing from the complete dataset are plotted
addl_arg	arguments passed to other imputation methods as a list of lists, see details.

Details

See the documentation for impute_errors for an explanation of the arguments.

Value

A ggplot object showing the imputed data for each method. Red points are labelled as 'imputed' and blue points are labelled as 'retained' from the original data set. Missing data that were removed can be added to the plot as open circles if showmiss = TRUE. See the examples for modifying the plot.

Examples

# default
plot_impute(dataIn = nottem)

# change missing percent total
plot_impute(dataIn = nottem, missPercent = 10)

# show missing values
plot_impute(dataIn = nottem, showmiss = TRUE)

# use mar sampling
plot_impute(dataIn = nottem, smps = 'mar')

# change the plot aesthetics
## Not run: 
library(ggplot2)
p <- plot_impute(dataIn = nottem, smps = 'mar')
p + scale_colour_manual(values = c('black', 'grey'))
p + theme_minimal()
p + ggtitle('Imputation examples with different methods')
p + scale_y_continuous('Temp at Nottingham Castle (F)')

## End(Not run)

Example output

imputeTestbench documentation built on July 6, 2019, 1:03 a.m.