visual.plot: Draws percentage plot for different type of values
In mvnimpute: Simultaneously Impute the Missing and Censored Values
visual.plot R Documentation
Draws percentage plot for different type of values
Description
Draws plot that graphically shows the percentages of the missing, censored and observed data. It supports
generating plots for all major types of censoring including left, right and interval censoring.
Usage
visual.plot(data.indicator, title = "Percentages of different data type")
Arguments
data.indicator
matrix including the data type indicators of the original data.
title
title of the generated plot, default is set to "Percentages of different data type".
Details
The function draws the plot that graphically shows the percentages of the missing, censored and observed
data in the dataset. data.indicator should be a matrix containing the data type indicators as generated in the
data preparation step. 0 for missing values, 1 for observed values, and 2 for right censored values, 3 for left censored values,
and 4 for interval censored values. title is the title
of the generated plot.
Value
The plot that shows the details of the different type of data in the dataset.
Examples
data.ind <- simulated.dat[[2]]
visual.plot(data.ind)
mvnimpute documentation built on July 6, 2022, 5:08 p.m.
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| visual.plot | R Documentation |
Draws percentage plot for different type of values
Description
Draws plot that graphically shows the percentages of the missing, censored and observed data. It supports generating plots for all major types of censoring including left, right and interval censoring.
Usage
visual.plot(data.indicator, title = "Percentages of different data type")
Arguments
data.indicator |
matrix including the data type indicators of the original data. |
title |
title of the generated plot, default is set to "Percentages of different data type". |
Details
The function draws the plot that graphically shows the percentages of the missing, censored and observed
data in the dataset. data.indicator should be a matrix containing the data type indicators as generated in the
data preparation step. 0 for missing values, 1 for observed values, and 2 for right censored values, 3 for left censored values,
and 4 for interval censored values. title is the title
of the generated plot.
Value
The plot that shows the details of the different type of data in the dataset.
Examples
data.ind <- simulated.dat[[2]] visual.plot(data.ind)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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