partialcor: Calculate partial correlations
In lava: Latent Variable Models
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Calculate partial correlation coefficients and confidence limits via Fishers
z-transform
Usage
1
partialcor(formula, data, level = 0.95)
Arguments
formula
formula speciying the covariates and optionally the outcomes
to calculate partial correlation for
data
data.frame
level
Level of confidence limits
Value
A coefficient matrix
Author(s)
Klaus K. Holst
Examples
1
2
3
4
m <- lvm(c(y1,y2,y3)~x1+x2)
covariance(m) <- c(y1,y2,y3)~y1+y2+y3
d <- sim(m,500)
partialcor(~x1+x2,d)
lava documentation built on May 2, 2019, 4:49 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
Calculate partial correlation coefficients and confidence limits via Fishers z-transform
Usage
1 | partialcor(formula, data, level = 0.95)
|
Arguments
formula |
formula speciying the covariates and optionally the outcomes to calculate partial correlation for |
data |
data.frame |
level |
Level of confidence limits |
Value
A coefficient matrix
Author(s)
Klaus K. Holst
Examples
1 2 3 4 | m <- lvm(c(y1,y2,y3)~x1+x2)
covariance(m) <- c(y1,y2,y3)~y1+y2+y3
d <- sim(m,500)
partialcor(~x1+x2,d)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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