Displaying 3 results from an estimated 3 matches for "groupingvariable".
2010 Feb 11
2
Unexpected output in first iteration of for-loop
...os 0.9 0.95
7 rAccess 0.91 0.92
8 rAccTest 0.87 0.9
#####
LV <- c("rPlanning", "rIterat", "rTDD", "rStandup", "rRetros", "rAccess",
"rAccTest")
#####
loopCronbach <- function(latentVariableNames, groupingVariable)
{
result <- latentVariableNames
names(result) <- c("latentVariable", "Indiv", "Group")
for (currentName in latentVariableNames)
{
print(currentName)
print(result)
tmp1 <- calculateIndividualCronbach(get(currentName))
tmp2 <- calculateGroupCronbach(get(cur...
2008 Jun 18
2
randomForest outlier
I try to use ?randomForest to find variables that are the most important to
divide my dataset (continuous, categorical variables) in two given groups.
But when I plot the outliers:
plot(outlier(FemMalSex_NAavoid88.rf33, cls=FemMalSex_NAavoid88$Sex),
type="h",col=c("red","green")[as.numeric(FemMalSex_NAavoid88$Sex)])
it seems to me that all my values appear as
2004 Mar 21
1
Multilevel analysis with package lme
...I have one response variable and about 20 explanatory variables. These
variables are nested in a grouping variable of about 100 groups, which is
nested in another grouping variable of 2 groups .
I have tried this
lme.model <- lme(respVar~expVar1, data=myData, random = respVar1+...
+respVar20| groupingVariable_level2,na.action=na.omit)
As i understood Snijders and Bosker, with that i have a fixed effect of
expVar1 on respVar and a random effect of all the others explanatory
variables. They are also nested in grouping Variable level 2.
Now my question is, if this is the correct term and how do i includ...