Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

tableMiss

create table with highlighted missings/imputations

Description

Create a reactable table that highlights missing values and imputed values with the same colors as histMiss()

Usage

tableMiss(x, delimiter = "_imp")

Arguments

x

a vector, matrix or data.frame.
delimiter

a character-vector to distinguish between variables and imputation-indices for imputed variables (therefore, x needs to have colnames()). If given, it is used to determine the corresponding imputation-index for any imputed variable (a logical-vector indicating which values of the variable have been imputed). If such imputation-indices are found, they are used for highlighting and the colors are adjusted according to the given colors for imputed variables (see col).

Examples

data(tao)
x_IMPUTED <- kNN(tao[, c("Air.Temp", "Humidity")])
tableMiss(x_IMPUTED[105:114, ])
x_IMPUTED[106, 2] <- NA
x_IMPUTED[105, 1] <- NA
x_IMPUTED[107, "Humidity_imp"] <- TRUE
tableMiss(x_IMPUTED[105:114, ])
VIM

Visualization and Imputation of Missing Values

v6.1.0
GPL (>= 2)
Authors
Matthias Templ [aut, cre], Alexander Kowarik [aut] (<https://orcid.org/0000-0001-8598-4130>), Andreas Alfons [aut], Gregor de Cillia [aut], Bernd Prantner [ctb], Wolfgang Rannetbauer [aut]
Initial release

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.