na.descript | R Documentation |
This function computes descriptive statistics for missing data, e.g. number ( of incomplete cases, number ( the number (
na.descript(x, table = FALSE, digits = 2, as.na = NULL, write = NULL,
check = TRUE, output = TRUE)
x |
a matrix or data frame. |
table |
logical: if |
digits |
an integer value indicating the number of decimal places to be used for displaying percentages. |
as.na |
a numeric vector indicating user-defined missing values,
i.e. these values are converted to |
write |
a character string for writing the results into a Excel file
naming a file with or without file extension '.xlsx', e.g.,
|
check |
logical: if |
output |
logical: if |
Returns an object of class misty.object
, which is a list with following
entries:
call |
function call |
type |
type of analysis |
data |
matrix or data frame specified in |
args |
specification of function arguments |
result |
list with results |
Takuya Yanagida takuya.yanagida@univie.ac.at
Enders, C. K. (2010). Applied missing data analysis. Guilford Press.
Graham, J. W. (2009). Missing data analysis: Making it work in the real world. Annual Review of Psychology, 60, 549-576. https://doi.org/10.1146/annurev.psych.58.110405.085530
van Buuren, S. (2018). Flexible imputation of missing data (2nd ed.). Chapman & Hall.
write.result
, as.na
, na.as
,
na.auxiliary
, na.coverage
, na.indicator
,
na.pattern
, na.prop
, na.test
dat <- data.frame(x1 = c(1, NA, 2, 5, 3, NA, 5, 2),
x2 = c(4, 2, 5, 1, 5, 3, 4, 5),
x3 = c(NA, 3, 2, 4, 5, 6, NA, 2),
x4 = c(5, 6, 3, NA, NA, 4, 6, NA))
# Descriptive statistics for missing data
na.descript(dat)
# Descriptive statistics for missing data, print results with 3 digits
na.descript(dat, digits = 3)
# Descriptive statistics for missing data, convert value 2 to NA
na.descript(dat, as.na = 2)
# Descriptive statistics for missing data with frequency table
na.descript(dat, table = TRUE)
## Not run:
# Write Results into a Excel file
na.descript(dat, table = TRUE, write = "NA_Descriptives.xlsx")
result <- na.descript(dat, table = TRUE, output = FALSE)
write.result(result, "NA_Descriptives.xlsx")
## End(Not run)
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