Description Usage Arguments Details Value Author(s) Examples
Missing value generator
1 |
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. |
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
lvm object
Thomas A. Gerds <tag@biostat.ku.dk>
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | 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)
|
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
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