Displaying 5 results from an estimated 5 matches for "zvalues".
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2012 Feb 07
6
Setting up infile for R CMD BATCH
Suppose I create an R program called myTest.R with only one line like
the following:
type <- as.integer(readline("input type (1: type1; 2: type2)? "))
Then I'd like to run myTest.R in batch mode by constructing an input
file called answers.R with the following:
source("myTest.R")
1
When I ran the following at the terminal:
R CMD BATCH answer.R output.Rout
it failed
2012 Jun 06
3
Sobel's test for mediation and lme4/nlme
Hello,
Any advice or pointers for implementing Sobel's test for mediation in
2-level model setting? For fitting the hierarchical models, I am using
"lme4" but could also revert to "nlme" since it is a relatively simple
varying intercept model and they yield identical estimates. I apologize for
this is an R question with an embedded statistical question.
I noticed that a
2010 Apr 14
1
Problems getting symbols() to show table data
...create a grid of circles with the right number of dimensions:
Read_data=read.table("C:/files/circle_data.txt", head = T)
number_rows = nrow(Read_data)
number_cols = ncol(Read_data)
xaxis = rep(seq(1,ncol(Read_data),1),nrow(Read_data))
yaxis = rep(seq(1,nrow(Read_data),1),ncol(Read_data))
zvalues = rep(0.1,(number_rows*number_cols)) #This is just a dummy vector
symbols(xaxis, yaxis, circles = zvalues, inches = FALSE, xlab="", ylab="")
axis(2, at=c(1:number_rows), rownames(Read_data), las = 1)
axis(1, at=c(1:number_cols), colnames(Read_data))
BUT... this only uses dummy...
2012 Jun 26
2
MuMIn - assessing variable importance following model averaging, z-stats/p-values or CI?
Dear R users,
Recent changes to the MuMIn package now means that the model averaging command (model.avg) no longer returns confidence intervals, but instead returns zvalues and corresponding pvalues for fixed effects included in models.
Previously I have used this package for model selection/averaging following Greuber et al (2011) where it suggests that one should use confidence intervals from model averaging to assess whether your fixed effects have an affect or no...
2013 Mar 30
1
vcovHC and arima() output
Dear all,
how can I use vcovHC() to get robust/corrected standard errors from an
arima() output?
I ran an arima model with AR(1) and got the estimate, se, zvalue and
p-value using coeftest(arima.output).
However, I cannot use vcovHC(arima.output) to get corrected standard
errors. It seems vcovHC works only with lm and plm objects?
Is there another way I can get robust/corrected