rpsychi (version 0.3)

md.pattern2: Display missing-data patterns

Description

md.pattern2 displays missing-data patterns

Usage

md.pattern2(x)

Arguments

x

a data frame

Value

• Return a matrix with ncol(x) + 1 columns, in which each row corresponds to a missing data pattern (1 = observed, 0 = missing). Rows and columns are sorted in increasing amounts of the sample sizes. The last column and row contain row and column counts, respectively. The row name contains the sample sizes in the specific missing data patterns.

encoding

UTF-8

Details

This function displays missing-data patterns. md.pattern in library(mice) is extended to sort variables.

References

Iwasaki M (2002) Foundations of incomplete data analysis (in Japanese) Tokyo: EconomistSha Publishing.

Examples

##Iwasaki (2002)
dat <- data.frame(matrix(c(
71  ,  68,  72,  72,  90,  72,  77,  76,  84,  77,
1850,2000,2100,1700,  NA,2200,2150,  NA,  NA,  NA,
136 , 139, 147, 142,  NA, 150, 156,  NA, 152,  NA,
34  , 45 ,  50,  38,  NA,  41,  43,  52,  57,  48
), ncol=4))
md.pattern2(dat)


#sample sizes in the specific pattern
#^
#^               numbers of missing data in each pattern
#|                ^
#|                |
#    X2 X3 X4 X1 NA
#6    1  1  1  1  0
#2    0  0  1  1  2
#1    0  0  0  1  3
#1    0  1  1  1  1
#Sum  4  3  1  0  8 --> numbers of missing data in each variable