> On Mar 27, 2016, at 9:52 AM, HAMID REZA ASHRAFI via R-help
> wrote:
>
> HiI have a set of data with two independent variables, a pretest (covariate)
> and posttest (dependent variable).Can anyone help me run robust ANCOVA?If you
> wish I can send you the data file.yours
> [[alternativ
Hello All:
I would like to get some help with the following problem and understand how
this can be done in R efficiently. The header is given in the data frame.
*Component, TLA*
C1, TLA1
C2, TLA1
C1, TLA2
C3, TLA2
C4, TLA3
C5, TLA3
Notice that C1 is a component of TLA1 and TLA2.
I would like to
...
and here is a maybe slightly neater approach using ?mapply (again with
the method column changed to character():
f <- function(meth,i,fr) do.call(meth,list((fr[i,])))
mapply(FUN=f,meth=input.df[,4],seq_len(nrow(input.df)),
MoreArgs = list(fr = input.df[,1:3]) )
Cheers,
Bert
Bert G
Hi Hamid,
This looks a bit like a repeated measures analysis, but for a simple
introduction to ANCOVA using R see the latter part of the following:
http://www.stat.columbia.edu/~martin/W2024/R8.pdf
Jim
On Mon, Mar 28, 2016 at 3:52 AM, HAMID REZA ASHRAFI via R-help
wrote:
> HiI have a set of dat
Dear Massimo,
The difference is in the handling of NAs. Try, e.g., airquality <-
na.omit(airquality) and compare again.
Best,
John
-
John Fox, Professor
McMaster University
Hamilton, Ontario
Canada L8S 4M4
web: socserv.mcmaster.ca/jfox
this might be a trivial question (eventually sorry for that!) but I definitely
can not catch the problem here...
please consider the following reproducible example: why of different results
through 'split-lapply' vs. 'aggregate'?
I've been also through a check against different methods (e.g. d
OOPS! I forgot to tell you that I first changed the "method" column,
which is a factor, to character, with
input.df$method <- as.character(input.df$method)
Then things will work properly.
-- Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and sticking t
1. return() is not needed in R functions (it's harmless, however). You
might wish to go through an R function tutorial (many good ones are on
the web) to learn about what slick things you can do with functions in
R.
2. The following is just a brute force loop, so more elegant
approaches are likely
Err, you already loaded it, there is not necessarily another message.
Just try the functions you want to use. ..
Best,
Uwe Ligges
On 27.03.2016 19:10, farzana akbari wrote:
hi I install plm and pglm packages but I can not load no one of them. the
massage of loading plm is
library(plm)
hi I install plm and pglm packages but I can not load no one of them. the
massage of loading plm is
> library(plm)
Loading required package: Formula
and for pglm is
> library(pglm)
Loading required package: maxLik
Loading required package: miscTools
Please cite the 'maxLik' package as:
Hen
HiI have a set of data with two independent variables, a pretest (covariate)
and posttest (dependent variable).Can anyone help me run robust ANCOVA?If you
wish I can send you the data file.yours
[[alternative HTML version deleted]]
__
R-help@r-
I am not up on the internals of R but there does seem some run for
parallelism. Are we talking about special hardware? or running this on
an Intel Box? If it is the second, then I am thinking threads would be
the way to go. Please consider the following
R statements:
for( i in 1:30 )a[i
> On Mar 27, 2016, at 9:14 AM, John, Larry wrote:
>
> Am using R version 3.2.4 in a fully updated version of Windows 7 and the most
> current versions of coorplot, FactoMineR and factoextra to support multiple
> correspondence analysis. However, today, a line of code that worked just fine
> o
Somewhere you'd named an R object var, which is also the name of the function.
There's no way to access part of a function with $ so
var$contrib
is throwing the closure error, which is telling you that you can't
index a function.
Sarah
On Sun, Mar 27, 2016 at 12:14 PM, John, Larry wrote:
> Am
Am using R version 3.2.4 in a fully updated version of Windows 7 and the most
current versions of coorplot, FactoMineR and factoextra to support multiple
correspondence analysis. However, today, a line of code that worked just fine
on one set of data produced an error message on a different set
Hello,
i am an undergraduate student on computer engineering and im
considering to do my thesis to an open source project and make
performance optimizations and/or add parallelism to it where possible
(or even better make use of GPU). Do you think that R-project is a
good candidate?
Than
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