I am at a new computer and it seems like I am unable to install R2MLwiN.
Tried it 3 ways:
install.packages("R2MLwiN")
Warning in install.packages :
package ‘R2MLwiN’ is not available (for R version 3.5.2)
> install.packages("R2MLwiN", repos = "http://cran.r-project.org")
Warning in install ...
Search found 42 matches
- Tue Jan 29, 2019 9:30 am
- Forum: R2MLwiN user forum
- Topic: Unable to install R2MLwiN
- Replies: 4
- Views: 9701
- Thu May 17, 2018 9:49 am
- Forum: R2MLwiN user forum
- Topic: Error in Sixway(), something with RL?
- Replies: 6
- Views: 14178
Re: Error in Sixway(), something with RL?
thanks, worked like a charm!
- Tue May 08, 2018 12:52 pm
- Forum: R2MLwiN user forum
- Topic: Error in Sixway(), something with RL?
- Replies: 6
- Views: 14178
Re: Error in Sixway(), something with RL?
Hi Chris,
Could you perhaps indicate how to do that?
Isn't there a problem in the output as well, given that the estimates for the constant are also odd?
Gerine
Could you perhaps indicate how to do that?
Isn't there a problem in the output as well, given that the estimates for the constant are also odd?
Gerine
- Fri May 04, 2018 9:49 am
- Forum: R2MLwiN user forum
- Topic: Error in Sixway(), something with RL?
- Replies: 6
- Views: 14178
Re: Error in Sixway(), something with RL?
I did that, and it seems the problem may lie in the variance of the intercept at level 1?
> RL1$resmatrix
M N Nmin I
deviance 25 30105 3746 8.04
FP_Intercept 12 12718 3746 3.40
FP_predictor 18 19852 3746 5.30
RP3_var_Intercept 126 156618 3746 41.80
RP2_var_Intercept 120 111108 3746 29.70
RP1_var ...
> RL1$resmatrix
M N Nmin I
deviance 25 30105 3746 8.04
FP_Intercept 12 12718 3746 3.40
FP_predictor 18 19852 3746 5.30
RP3_var_Intercept 126 156618 3746 41.80
RP2_var_Intercept 120 111108 3746 29.70
RP1_var ...
- Tue May 01, 2018 11:09 am
- Forum: R2MLwiN user forum
- Topic: Error in Sixway(), something with RL?
- Replies: 6
- Views: 14178
Error in Sixway(), something with RL?
I get the following error when I try to run the sixway function:
Error in if (RL1$resmatrix[1] == "Error") { :
missing value where TRUE/FALSE needed
In addition: Warning message:
In par(new = TRUE) : calling par(new=TRUE) with no plot
It doesn't occur when I run the analyses with 100 ...
Error in if (RL1$resmatrix[1] == "Error") { :
missing value where TRUE/FALSE needed
In addition: Warning message:
In par(new = TRUE) : calling par(new=TRUE) with no plot
It doesn't occur when I run the analyses with 100 ...
- Tue Apr 24, 2018 3:06 pm
- Forum: R2MLwiN user forum
- Topic: How can I turn echo off?
- Replies: 2
- Views: 7130
Re: How can I turn echo off?
thanks, that worked!
- Tue Apr 24, 2018 8:18 am
- Forum: R2MLwiN user forum
- Topic: How can I turn echo off?
- Replies: 2
- Views: 7130
How can I turn echo off?
I don't need the information currently provided (Adapting for xxx iterations; burning in for x of y; actual update x of y) etc.
How do I turn this off? I don't see an option under ?runMLwiN
How do I turn this off? I don't see an option under ?runMLwiN
- Tue Feb 06, 2018 9:40 am
- Forum: R2MLwiN user forum
- Topic: What does the I do in formulas?
- Replies: 1
- Views: 6047
What does the I do in formulas?
I noticed that in some formulas, there is an I before a new term, for instance:
(mymodel11 <- runMLwiN(logit(a_point, cons, 6) ~ 1 + gcseavnormal[1:5] + gender[1:5] + I(gcseavnormal^2)[1:5] + (1[1:5] | school),
D = "Ordered Multinomial", estoptions = list(nonlinear = c(N = 1, M = 2)), data ...
(mymodel11 <- runMLwiN(logit(a_point, cons, 6) ~ 1 + gcseavnormal[1:5] + gender[1:5] + I(gcseavnormal^2)[1:5] + (1[1:5] | school),
D = "Ordered Multinomial", estoptions = list(nonlinear = c(N = 1, M = 2)), data ...
- Mon Jan 29, 2018 11:06 am
- Forum: R2MLwiN user forum
- Topic: How to change reference category in ordered logistic regression
- Replies: 4
- Views: 12174
Re: How to change reference category in ordered logistic regression
Thanks!! Thought the 5 was for "N categories", so good to know!
- Mon Jan 29, 2018 9:34 am
- Forum: R2MLwiN user forum
- Topic: How to change reference category in ordered logistic regression
- Replies: 4
- Views: 12174
Re: How to change reference category in ordered logistic regression
Could you indicate where in the function of 11.4 the reference category is specified?
I have tried replacing:
With:
But that doesn't work.
I have tried replacing:
Code: Select all
Function <- logit(variable, cons, 5) ~ 1 + (1[1:4] |school)
Code: Select all
Function <- logit(variable, cons, 5) ~ 1 + (1[2:5] |school)