Displaying 6 results from an estimated 6 matches for "gam11".
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nam11
2010 May 24
1
Path Analysis
...m using:
corr = hetcor(dat[,c('intent','exposure','benefit','norms','childBarrier','parentBarrier','knowBenefit','recuse')],use="pairwise.complete.obs")$correlations
modMat = matrix(c(
'exposure -> intent', 'gam11',NA,
'benefit -> intent', 'gam12',NA,
'norms -> intent', 'gam13',NA,
'childBarrier -> intent', 'gam14',NA,
'parentBarrier -> intent', 'gam15',NA,
'knowBenefit -> intent', 'gam16',NA,
'...
2004 Jan 29
1
Confirmatory Factor Analysis in R? SEM?
...unif(200)
x2<-rbinom(200, 20, 0.75)
x3<-runif(200)
x4<-runif(200)
dat<-as.data.frame(x1 =x1, x2 = x2, x3 = x3, x4 = x4)
v.c<-cor(dat,use = "complete.obs")
ind<-upper.tri(v.c)
v.c[ind]<-0
model.dhp<-matrix (c(
"x1 -> HWK", "gam11", NA,
"x2 -> HWK", "gam21", NA,
"x2 -> FI", "gam22", NA,
"x3 -> HWK", "gam31", NA,
"x3 -> F1", "gam32", NA,...
2011 Mar 08
1
SEM error
Dear All,
I am new for R and SEM. I try to fit the model with Y (ordinal outcome), X
(4 categorical data), M1-M3 (continuous), and 2 covariates (Age&sex) as a
diagram.
library(polycor)
model.ly <-specify.model()
1: x -> m1, gam11, NA
2: x -> m2, gam12, NA
3: x -> m3, gam13, NA
4: age -> m1, gam14, NA
5: age -> m2, gam15, NA
6: age -> m3, gam16, NA
7: sex -> m1, gam17, NA
8: sex -> m2, gam18, NA
9: sex -> m3, gam19, NA
10: x -> y, gam20, NA
11: m1 -> y, gam21, NA
12: m2 -> y, gam22,...
2011 Nov 24
0
sem package (version 2.1-1)
...ather than path) format, and cfa() facilitates
compact specification of simple confirmatory factor analysis models.
For example, from ?sem, the Duncan, Haller, and Portes peer-influences model
can now be specified as
model.dhp.1 <- specifyEquations(covs="RGenAsp, FGenAsp")
RGenAsp = gam11*RParAsp + gam12*RIQ + gam13*RSES + gam14*FSES +
beta12*FGenAsp
FGenAsp = gam23*RSES + gam24*FSES + gam25*FIQ + gam26*FParAsp +
beta21*RGenAsp
ROccAsp = 1*RGenAsp
REdAsp = lam21(1)*RGenAsp # to illustrate setting start values, not
necessary here
FOccAsp = 1*FGenAsp
FEdAsp = lam42(1)*FGenAsp
and th...
2011 Nov 24
0
sem package (version 2.1-1)
...ather than path) format, and cfa() facilitates
compact specification of simple confirmatory factor analysis models.
For example, from ?sem, the Duncan, Haller, and Portes peer-influences model
can now be specified as
model.dhp.1 <- specifyEquations(covs="RGenAsp, FGenAsp")
RGenAsp = gam11*RParAsp + gam12*RIQ + gam13*RSES + gam14*FSES +
beta12*FGenAsp
FGenAsp = gam23*RSES + gam24*FSES + gam25*FIQ + gam26*FParAsp +
beta21*RGenAsp
ROccAsp = 1*RGenAsp
REdAsp = lam21(1)*RGenAsp # to illustrate setting start values, not
necessary here
FOccAsp = 1*FGenAsp
FEdAsp = lam42(1)*FGenAsp
and th...
2009 May 01
1
computationally singular and lack of variance parameters in SEM
Hi all,
I am trying to set up a simple path analysis in the SEM package, but I am
having some trouble. I keep getting the following error message or
something similar with my model, and I'm not sure what I'm doing wrong:
Error in solve.default(C) :
system is computationally singular: reciprocal condition number =
2.2449e-20
In addition: Warning message:
In sem.default(ram = ram, S = S,