# na.detail.response

0th

Percentile

##### Detailed Response Variable Information

This function is called by certain na.action functions if options(na.detail.response=TRUE) is set. By default, this function returns a matrix of counts of non-NAs and the mean of the response variable computed separately by whether or not each predictor is NA. The default action uses the last column of a Surv object, in effect computing the proportion of events. Other summary functions may be specified by using options(na.fun.response="name of function").

Keywords
models, regression
##### Usage
na.detail.response(mf)
mf

a model frame

##### Value

a matrix, with rows representing the different statistics that are computed for the response, and columns representing the different subsets for each predictor (NA and non-NA value subsets).

na.omit, na.delete, model.frame.default, naresid, naprint, describe

##### Aliases
• na.detail.response
##### Examples
# NOT RUN {
# sex
# [1] m f f m f f m m m m m m m m f f f m f m
# age
# [1] NA 41 23 30 44 22 NA 32 37 34 38 36 36 50 40 43 34 22 42 30
# y
# [1] 0 1 0 0 1 0 1 0 0 1 1 1 0 0 1 1 0 1 0 0
# options(na.detail.response=TRUE, na.action="na.delete", digits=3)
# lrm(y ~ age*sex)
#
# Logistic Regression Model
#
# lrm(formula = y ~ age * sex)
#
#
# Frequencies of Responses
#   0 1
#  10 8
#
# Frequencies of Missing Values Due to Each Variable
#  y age sex
#  0   2   0
#
#
# Statistics on Response by Missing/Non-Missing Status of Predictors
#
#     age=NA age!=NA sex!=NA Any NA  No NA
#   N    2.0  18.000   20.00    2.0 18.000
# Mean    0.5   0.444    0.45    0.5  0.444
#
# \dots\dots
# options(na.action="na.keep")
# describe(y ~ age*sex)
# Statistics on Response by Missing/Non-Missing Status of Predictors
#
#      age=NA age!=NA sex!=NA Any NA  No NA
#    N    2.0  18.000   20.00    2.0 18.000
# Mean    0.5   0.444    0.45    0.5  0.444
#
# \dots
# options(na.fun.response="table")  #built-in function table()
# describe(y ~ age*sex)
#
# Statistics on Response by Missing/Non-Missing Status of Predictors
#
#   age=NA age!=NA sex!=NA Any NA No NA
# 0      1      10      11      1    10
# 1      1       8       9      1     8
#
# \dots
# }

Documentation reproduced from package Hmisc, version 4.1-1, License: GPL (>= 2)

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