LMMstar (version 1.1.0)

summarizeNA: Summarize missing data patterns

Description

Summarize missing data patterns.

Usage

summarizeNA(
  data,
  repetition = NULL,
  sep = "",
  newnames = c("variable", "frequency", "missing.pattern", "n.missing"),
  keep.data = TRUE
)

Value

a data frame

Arguments

data

[data.frame] dataset containing the observations.

repetition

[formula] Specify the structure of the data when in the long format: the time/repetition variable and the grouping variable, e.g. ~ time|id. When specified the missing data pattern is specific to each variable not present in the formula.

sep

[character] character used to separate the missing data indicator (0/1) when naming the missing data patterns.

newnames

[character vector of length 4] additional column containing the variable name (only when argument repetition is used), the frequency of the missing data pattern in the dataset, the name of the missing data pattern in the dataset, and the number of missing data per pattern.

keep.data

[logical] should the indicator of missing data per variable in the original dataset per pattern be output.

See Also

autoplot.summarizeNA for a graphical display.

Examples

#### display missing data pattern (wide format) ####
data(gastricbypassW, package = "LMMstar")
e.SNA <- summarizeNA(gastricbypassW) 
plot(e.SNA)
summarizeNA(gastricbypassW, keep.data = FALSE)

#### display missing data pattern (long format) ####
## example 1
data(gastricbypassL, package = "LMMstar")
e.SNAL <- summarizeNA(gastricbypassL, repetition = ~time|id)
plot(e.SNAL, variable = "glucagonAUC")

## example 2
data(calciumL, package = "LMMstar")
mp <- summarizeNA(calciumL, repetition = ~visit|girl)
plot(mp, variable = "bmd")
summarizeNA(calciumL[,c("visit","girl","bmd")], repetition = ~visit|girl)

## example 3
data(vasscoresW, package = "LMMstar")
summarizeNA(vasscoresW)