imputeTS (version 1.5)

plotNA.imputations: Visualize Imputed Values

Description

Visualize the imputed values in a time series.

Usage

plotNA.imputations(x.withNA, x.withImputations, x.withTruth = NULL,
  legend = T, main = "Visualization Imputed Values", xlab = "Time",
  ylab = "Value", colWithTruth = "green3", colLines = "black",
  colWithImputations = "indianred2", colWithNA = "steelblue2",
  ylim = c(min(c(x.withImputations, x.withTruth), na.rm = T),
  max(c(x.withImputations, x.withTruth), na.rm = T)), pch = 20, cex = 0.8,
  ...)

Arguments

x.withNA

Numeric Vector or Time Series (ts) object with NAs before imputation

x.withImputations

Numeric Vector or Time Series (ts) object with NAs replaced by imputed values

x.withTruth

Numeric Vector or Time Series (ts) object with the real values. (can be set to NULL if not known)

legend

If TRUE a legend is shown at the bottom of the plot. A custom legend can be obtained by setting this parameter to FALSE and using legend function

main

Main title for the plot

xlab

Label for x axis of the plot

ylab

Label for y axis of plot

colWithTruth

Defines the color of the real values (truth) for the NA values.

colLines

Defines the color of the lines connecting non-NA observations.

colWithImputations

Defines the color for the imputed values.

colWithNA

Defines the color of the non-NA observations.

ylim

the y limits of the plot

pch

Either an integer specifying a symbol or a single character to be used as the default in plotting points.

cex

A numerical value giving the amount by which plotting text and symbols should be magnified relative to the default.

...

Additional graphical parameters that can be passed through to plot

Details

This plot can be used, to visualize the imputed values for a time series. Therefore the imputed values (filled NA gaps) are shown in a different color than the other values. If the real values (truth) behind the NA gaps are known these are also added in a different color.

See Also

plotNA.distribution,plotNA.distributionBar, plotNA.gapsize

Examples

#Prerequisite: Load a time series with missing values and perform an imputation
x <- tsAirgap

#Perform imputation for x using na.mean
x.imp <- na.mean(x)


#Example 1: Visualize the imputed values in the time series
plotNA.imputations(x, x.imp)


#Example 2: Visualize the imputed values and the true values in the time series
plotNA.imputations(x, x.imp, tsAirgapComplete)