Missing: Missing value generator

Description Usage Arguments Details Value Author(s) Examples

View source: R/Missing.R

Description

Missing value generator

Usage

1
Missing(object, formula, Rformula, missing.name, suffix = "0", ...)

Arguments

object

lvm-object.

formula

The right hand side specifies the name of a latent variable which is not always observed. The left hand side specifies the name of a new variable which is equal to the latent variable but has missing values. If given as a string then this is used as the name of the latent (full-data) name, and the observed data name is 'missing.data'

Rformula

Missing data mechanism with left hand side specifying the name of the observed data indicator (may also just be given as a character instead of a formula)

missing.name

Name of observed data variable (only used if 'formula' was given as a character specifying the name of the full-data variable)

suffix

If missing.name is missing, then the name of the oberved data variable will be the name of the full-data variable + the suffix

...

Passed to binomial.lvm.

Details

This function adds a binary variable to a given lvm model and also a variable which is equal to the original variable where the binary variable is equal to zero

Value

lvm object

Author(s)

Thomas A. Gerds <tag@biostat.ku.dk>

Examples

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library(lava)
set.seed(17)
m <- lvm(y0~x01+x02+x03)
m <- Missing(m,formula=x1~x01,Rformula=R1~0.3*x02+-0.7*x01,p=0.4)
sim(m,10)


m <- lvm(y~1)
m <- Missing(m,"y","r")
## same as
## m <- Missing(m,y~1,r~1)
sim(m,10)

## same as
m <- lvm(y~1)
Missing(m,"y") <- r~x
sim(m,10)

m <- lvm(y~1)
m <- Missing(m,"y","r",suffix=".")
## same as
## m <- Missing(m,"y","r",missing.name="y.")
## same as
## m <- Missing(m,y.~y,"r")
sim(m,10)

Example output

           y0         x01        x02         x03 R1        x1
1  -0.3307614  1.18078924  0.6810276 -1.17756957  0        NA
2  -1.0786445  0.64319207 -0.6820334 -0.96016651  0        NA
3  -0.5398741  1.29532187 -0.7232567 -0.87895224  0        NA
4  -2.5119604  0.18791807  1.6735260 -3.55613648  1 0.1879181
5   0.3507905  1.59120510 -0.5957556 -1.41674984  0        NA
6   0.4902836 -0.05517906  1.1598438 -0.44876927  0        NA
7   1.1528003  0.83847112  0.1174224 -0.77596771  1 0.8384711
8   1.3032974  0.15937013  0.2592214 -0.83182805  0        NA
9   1.3153836  0.62595440  0.3823621  0.05183012  1 0.6259544
10 -0.3278672  0.63358473 -0.7114817 -0.61655131  0        NA
             y r          y0
1   0.07419352 1  0.07419352
2   1.75169617 0          NA
3  -0.23148744 0          NA
4   0.54345248 0          NA
5  -0.98900140 0          NA
6   0.31553146 1  0.31553146
7   2.44232746 1  2.44232746
8   0.54969286 1  0.54969286
9  -0.02924337 1 -0.02924337
10 -0.83078338 0          NA
             y r          y0          x
1   0.03054575 1  0.03054575  0.5602348
2  -0.78551741 0          NA -1.7924178
3   0.32544056 0          NA -1.5654169
4  -0.88084355 0          NA -3.3203189
5   0.20932594 0          NA  0.1547216
6   0.15103295 1  0.15103295 -0.3646267
7  -0.34347879 0          NA -2.4336839
8   0.90587760 0          NA  0.3364643
9   0.91895485 0          NA -0.6404528
10 -0.55598749 1 -0.55598749  1.8211204
             y r          y.
1   0.46345064 1  0.46345064
2   0.88066627 1  0.88066627
3   0.13942195 0          NA
4  -0.37505483 0          NA
5   0.04253903 0          NA
6   0.63388029 1  0.63388029
7  -1.70748846 1 -1.70748846
8   0.01968655 1  0.01968655
9  -0.29879637 0          NA
10 -0.44176283 1 -0.44176283

lava documentation built on May 2, 2019, 4:49 p.m.