Description Usage Arguments Details Value Author(s) See Also Examples
Rescale standardized latent variable scores to original scale of manifest variables
1 |
pls |
object of class |
data |
Optional dataset (matrix or data frame) used
when argument |
rescale
requires all outer weights to be positive
A data frame with the rescaled latent variable scores
Gaston Sanchez
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 26 27 28 29 30 31 32 33 | ## Not run:
## example with customer satisfaction analysis
# load data satisfaction
data(satisfaction)
# define inner model matrix
IMAG = c(0,0,0,0,0,0)
EXPE = c(1,0,0,0,0,0)
QUAL = c(0,1,0,0,0,0)
VAL = c(0,1,1,0,0,0)
SAT = c(1,1,1,1,0,0)
LOY = c(1,0,0,0,1,0)
sat_path = rbind(IMAG, EXPE, QUAL, VAL, SAT, LOY)
# define outer model list
sat_blocks = list(1:5, 6:10, 11:15, 16:19, 20:23, 24:27)
# define vector of reflective modes
sat_modes = rep("A", 6)
# apply plspm
my_pls = plspm(satisfaction, sat_path, sat_blocks, sat_modes,
scaled=FALSE)
# rescaling standardized scores of latent variables
new_scores = rescale(my_pls)
# compare standardized LVs against rescaled LVs
summary(my_pls$scores)
summary(new_scores)
## End(Not run)
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