Dear R-List,
I receive a strange error message when starting R. It says:
"Warning message:
package "methods" in options("defaultPackages") was not found
Error in file(filename, "r") : cannot open the connection
In addition: Warning message:
In file(filename, "r") :
cannot open file 'G:/statp
Dear R-List,
I have nested data with cases grouped by IDs and I want to remove all cases
with specific IDs.
something like
df<-data.frame(id=c(1,1,1,2,2,2,3,3,3,4,4,4,5,5,5),var=c(1,2,3,4,5,6,7,8,9,10,11,12,13,14,15))
subset(df,id== 1 | id == 3)
Having a very large dataset with many IDs to
Dear R-List,
due to outliers in my data I wanted to carry out a robust regression.
According to APA standards, reporting OLS regression results should include
1. unstandardized beta coefficients
2. standardized beta coefficients
3. SE
4. t values
5. r squared
6. r squared adjusted
7. F (df.num
Dear R-List,
I am sure there must be a very simple way to do this - I just do not know how...
This is what I want to do:
#my dataframe
df<-data.frame(id=c("x01","x02","x03","x04","x05","x06"),a=c(1,2,NA,4,5,6),b=c(2,4,6,8,10,NA),c=c(NA,3,9,12,NA,NA),sum=c(3,9,15,24,15,6))
id a b
"x03","x04","x05","x06"),a=c(1,2,NA,4,5,6),b=c(2,4,6,8,10,NA),c=c(NA,3,9,12,NA,NA))
>
> (df$wSum<-apply(sweep(df[,-1],1,rowSums(df[,-1],na.rm=T),"/"),1,function(x)sum(x*w,na.rm=T)))
>
> hth.
>
> Am 06.02.2013 14:17, schrieb D. A
Dear R-List,
I would like to recode my data according to quantile breaks, i.e. all data
within the range of 0%-25% should get a 1, >25%-50% a 2 etc.
Is there a nice way to do this with all columns in a dataframe.
e.g.
df<-
f<-data.frame(id=c("x01","x02","x03","x04","x05","x06"),a=c(1,2,3,4,5,
Dear R-List,
I would like to recode categorial variables into binary data, so that all
values above median are coded 1 and all values below 0, separating each var
into two equally large groups (e.g. good performers = 0 vs. bad performers =1).
I have not succeeded so far in finding a nice solut
Dear R-list,
is there any R-package that I can use to carry out a many-facet rasch analysis
in R?
Thank you.
Best wishes
Alain
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Dear R-List,
I tried to fit a partial credit model using the "pcmdat" from eRm-package
comparing the results of mirt, eRm, ltm and winsteps.
The results where quite different, though. I cannot figure out what went wrong
and I do not know which result I can rely on.
This is what I did in R
year 2010
month 05
day 31
svn rev 52157
languageR
version.string R version 2.11.1 (2010-05-31)
Thanks
D. Ala
Dear R-List,
I would like to have a large number of stratified random subsamples drawn from
my dataframe and automatically test for correlation differences in every
subsample.
Let this be my dataframe
df<-data.frame(group=c(rep(1,5),rep(2,5),rep(3,5)),a=c(3,4,5,6,3,4,5,4,5,4,1,2,1,2,1),b=c
Dear R-List,
(I am not sure whether this list is the right place for my question...)
I have a dataframe df.cfa
df.cfa<-data.frame(x1=c(5,4,1,5,5,NA,4,NA,NA,5),x2=c(2,3,3,3,NA,1,2,1,2,1),x3=c(5,3,4,1,5,5,5,5,5,5),x4=c(5,3,4,5,5,5,5,5,5,5),x5=c(5,4,3,3,4,4,4,5,NA,5),x6=c(3,5,2,1,4,NA,NA,5,3,4),x7=
Dear R-List,
I have a dataframe with one column "name.of.report" containing character
values, e.g.
>df$name.of.report
"jeff_2001_teamx"
"teamy_jeff_2002"
"robert_2002_teamz"
"mary_2002_teamz"
"2003_mary_teamy"
...
(i.e. the bit of interest is not always at same position)
Now I want to recode
2 5
3 -0.67463191 1 NA
3 -0.66410552 2 7
3 -0.02543358 1 8
Please excuse me if the problem has already been treated somewhere, but so far
I was not able to find the right threat for my question in RSeek.
Can anyone help?
Thanks in advance!
Dear R-List,
I apologize for not posting a reproducible example - the reason is that I
actually do not succeed in reproducing my specific problem with
generated data.
Let me still describe the problem:
I want to impute missing data using the "pan" package.
a) It works, when I use a fractio
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