Dear R Colleagues,
When I run ls() on an R object given to me by a colleague, one of the
objects is shown literally as:
"females[\"dp\"]"
I can neither look into it nor can I get rid of it (rm("major[\"dp\"]").
Ideas or solutions?
Thanks,
Larry
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Dear Colleagues,
I have what Roger Kirk (Experimental Design: Procedures for the Behavioral
Sciences, 1968) refers to as a randomized block factorial design. The anova
table would look like this:
df
A 3
Subj/A 103 (error term for A)
B
Dear Colleagues,
I have what Roger Kirk (Experimental Design: Procedures for the Behavioral
Sciences, 1968) refers to as a randomized block factorial design. The anova
table would look like this:
df
A 3
Subj/A 103 (error term for A)
B
Monte,
I vaguely remember having exactly the same error message at some point in my
journey. Why don't you try simply loading tcltk first to see if you can
then load Rcmdr:
library(tcltk)
On Wed, Feb 11, 2009 at 3:03 PM, Peter Dalgaard wrote:
> Monte Milanuk wrote:
>
>> Larry,
>>
>> Since it
I'm afraid that I don't know where that lives on a Mac, but I suppose that
> getwd() would show you).
>
> John
>
>
> > -----Original Message-
> > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
> On
> > Behalf Of Lawrence Hanse
hn
>
> --
> John Fox, Professor
> Department of Sociology
> McMaster University
> Hamilton, Ontario, Canada
> web: socserv.mcmaster.ca/jfox
>
>
> > -Original Message-
> > From: r-help-boun...@r-project.org [mailto:r-help-boun
Dear Colleagues,
When I try to install Rcmdr the following happens:
--
> library(Rcmdr)
Error in structure(.External("dotTclObjv", objv, PACKAGE = "tcltk"), class =
"tclObj") :
[tcl] invalid command name "font".
Error : .onAttach failed in 'attachNamespace'
Error
Dear Colleagues,
I fit this model:
mod1 <- lmer(x~category*comp+(1|id),data=impchiefsrm)
where category has 4 levels and comp has 8 levels.
These work:
glht(mod1, linfct=mcp(category="Tukey")
glht(mod1, linfct=mcp(comp="Tukey")
What I'd like is (conceptually):
glht(mod1, linfct=mcp(category:c
Dear Colleagues,
I have scoured the help files and been unable to find an answer to my
question. Please forgive me if I have missed something obvious.
I have run the following two models, where "category" has 3 levels and
"comp" has 8 levels:
mod1 <- lmer(x~category+comp+(1|id),data=impchiefsrm)
Dear Colleagues,
I have run the following two models, where category has 3 levels and comp
has 8 levels:
mod1 <- lmer(x~category+comp+(1|id),data=impchiefsrm)
mod2 <- lmer(x~category+comp+category*comp+(1|id),data=impchiefsrm)
followed by:
anova(mod1,mod2)
The anova shows that the interaction t
repchiefs08rm)
mod2 <- lmer(y ~ category + subcomp + category*subcomp + (1 | id),
data=prepchiefs08rm)
Thanks.
On Wed, Oct 22, 2008 at 2:41 PM, Douglas Bates <[EMAIL PROTECTED]> wrote:
> On Wed, Oct 22, 2008 at 4:18 PM, Lawrence Hanser <[EMAIL PROTECTED]> wrote:
>> Dear R
Dear R Colleagues,
I run the following two models:
mod1 <- lmer(y ~ category + subcomp + (1 | id))
mod2 <- lmer(y ~ category + subcomp + category*subcomp + (1 | id)
where:
category has 4 possible values
subcomp has 24 possible values
id has approx 120 values (id is nested within category, and in
Dear Colleagues,
I run this model:
mod1 <- lmer(x~category+subcomp+category*subcomp+(1|id),data=impchiefsrm)
obtain this summary result:
Linear mixed-effects model fit by REML
Formula: x ~ category + subcomp + category * subcomp + (1 | id)
Data: impchiefsrm
AIC BIC logLik MLdeviance REMLdev
Dear Colleagues,
I think the allure of bargraph.CI is that it makes it easy to plot
standard errors--though you still have to fiddle with the options to
get the size of confidence interval you want. And there is the
(strong) dislike of dynamite plots by some (the ink to info argument).
Box and wh
dataframe
> with columns corresponding to its entries.
>
> Duncan Murdoch
>
>
>
>> aggregate seems like a more reasonable choice, but the function for
>> aggregate must return scalars, not rows...tapply doesn't take data.frame
>> inputs. Maybe someone else has a
Dear Colleagues,
I have a dataframe with variables:
[1] "ID" "category" "a11""a12"
"a13""a21"
[7] "a22""a23""a31""a32"
"b11""b12"
[13] "b13""b21""b31""b32"
"b33"
Dear Friends,
I am doing a rather simple histogram on a vector of data, MR. I set
breaks for the intervals:
hist(MR,breaks=c(0, 2.9, 5.9, 8.9, 11.9,14.9, 17.9, 20.9))
My question is, how do I change the labels on the tick marks? I have
looked at ?hist and can't find a clue...
Thanks in advanc
Dear Colleagues,
It seems to me that the issue is not whether the information we seek
is in the documentation. I, for one, am amazed at the quality of the
documentation of R and of contributed materials. For me the issue is
one of finding the information in an efficient way out of the
mountains
Dear Colleagues,
Seems I had in the past run across the capability to create a
three-dimensional scatterplot where I could use the mouse to "grab"
the plot and rotate the axes with the mouse. I have used RSiteSearch
and found a few things (e.g., TeachingDemos, iplot) but cannot find
the package/f
Looks to me like you are trying to read sas.exe as your data rather
than MyData.sa7bdat
Larry
On Fri, Mar 14, 2008 at 8:21 AM, Samuel Okoye <[EMAIL PROTECTED]> wrote:
> Hello,
>
> I am trying to read the SAS file MyData.sa7bdat in R! This file is saved
> under D:\data! I therefore wrote
>
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