Displaying 4 results from an estimated 4 matches for "merge1".
Did you mean:
merge
2016 Jun 08
1
Trivial patch for merge.Rd
...After replying to r-help earlier today on the merge() related thread, I noted a trivial grammatical error in the description for the 'suffixes' argument in it's help file.
A patch against the current SVN trunk version of merge.Rd in ..library/base/man is attached and pasted here:
--- merge1.Rd 2016-06-08 13:34:35.000000000 -0500
+++ merge2.Rd 2016-06-08 14:03:34.000000000 -0500
@@ -42,7 +42,7 @@
columns?}
\item{suffixes}{a character vector of length 2 specifying the suffixes
to be used for making unique the names of columns in the result
- which not used for merging (appe...
2002 Jan 28
0
merge() generates a factor: bug?
...mns which have been converted to factor. I think
this is a bug (and may be related to some fixed bugs, eg PR#1102, PR#1121), but
will await comments before submitting. Also, I'm not sure if the bug is in
merge() or in read.table(). I am using R-1.4.0 patch 1/13/02 on Solaris 2.6.
File "merge1.txt":
k a
A w
B x
File "merge2.txt":
k b
A y
C z
Bug-testing code:
R> x <- read.table("merge1.txt",header=T,row.names=NULL,colClasses="character")
R> y <- read.table("merge2.txt",header=T,row.names=NULL,colClasses="character")
R&g...
2008 Nov 24
1
lme4 and false convergence
...proportions (e.g., AG, FOR,
OPEN, LDEV,or DEV) or numerical (COUNT[min. 1 to max. 37,mean = 10]).
---------------------------------------------------------------------
PROBLEM 1:
I have developed the following GLMM:
mix.1<-glmer(PRES~AG+FOR+OPEN+LDEV+DEV+COUNT+(1|SITE),family=binomial,data=merge1)
I receive the following error:
Warning message:
In mer_finalize(ans) : false convergence (8)
There is model output, but I am worried it might be biased.
I have tried:
-Data transformation of the predictor variables (e.g., log(COUNT)),
which does seem successful in some simpler models, bu...
2010 May 11
3
Advice needed on awkward tables
Dear r-help list members,
I am quite new to R, and hope to seek advice from you about a problem I have
been cracking my head over. Apologies if this seems like a simple problem.
I have essentially two tables. The first (Table A) is a standard patient
clinicopathological data table, where rows correspond to patient IDs and
columns correspond to clinical features. Records in this table are stored