na.as: Replace Missing Values With User-Specified Values

In misty: Miscellaneous Functions 'T. Yanagida'

Replace Missing Values With User-Specified Values

Description

This function replaces NA in a vector, factor, matrix or data frame with user-specified values in the argument value.

Usage

na.as(x, value, as.na = NULL, check = TRUE)

Arguments

x	a vector, factor, matrix or data frame.
value	a numeric value or character string with which NA is replaced.
as.na	a numeric vector indicating user-defined missing values, i.e. these values are converted to NA before conducting the analysis.
check	logical: if TRUE, argument specification is checked.

Value

Returns x with NA replaced with the numeric value or character string specified in value.

Author(s)

Takuya Yanagida [e-mail]

as.na, na.auxiliary, na.coverage, na.descript, na.indicator, na.pattern, na.prop, na.test

References

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.

Examples

#--------------------------------------
# Numeric vector
x.num <- c(1, 3, NA, 4, 5)

# Replace NA with 2
na.as(x.num, value = 2)

#--------------------------------------
# Character vector
x.chr <- c("a", NA, "c", "d", "e")

# Replace NA with "b"
na.as(x.chr, value = "b")

#--------------------------------------
# Factor
x.factor <- factor(c("a", "a", NA, NA, "c", "c"))

# Replace NA with "b"
na.as(x.factor, value = "b")

#--------------------------------------
# Matrix
x.mat <- matrix(c(1, NA, 3, 4, 5, 6), ncol = 2)

# Replace NA with 2
na.as(x.mat, value = 2)

#--------------------------------------
# Data frame
x.df1 <- data.frame(x1 = c(NA, 2, 3),
                    x2 = c(2, NA, 3),
                    x3 = c(3, NA, 2), stringsAsFactors = FALSE)

# Replace NA with -99
na.as(x.df1, value = -99)

#--------------------------------------
# Recode value in data frame
x.df2 <- data.frame(x1 = c(1, 2, 30),
                    x2 = c(2, 1, 30),
                    x3 = c(30, 1, 2))

# Replace 30 with NA and then replace NA with 3
na.as(x.df2, value = 3, as.na = 30)

misty documentation built on Nov. 15, 2023, 1:06 a.m.