r variable.
Some might recognize the above models as essentially estimating weight at
length or condition in animals, in this case fish.
Thanks for any assistance.
Regards,
B. Jessop
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_
ed only 5 places in Excel.
Thanks for any assistance in how to extract the case values used to create the
adjusted group means from an ANCOVA by the "effects" package such that the mean
of the case values for a group equals the adjusted mean for that group.
Regards,
B.
Further to my posting re: extracting case values from ancova adjusted means, I
have solved the problem.
Regards,
Brian Jessop
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R-help@r-project.org mailing list
Dear help list: I am trying to reshape a data frame from long to wide format
and with a reduced variable list using reshape2. The original data frame
format is: Site Obs_no LengthSite 1 Obs 1 10Site 1 Obs 2
13Site 1 Obs 3 14.Site 2 Obs 1 5Site 2 O
ing service). The email you sent is nearly
> impossible to parse because this is a plain text list (as noted in the
> posting guide) and your html formatting is utterly lost.
>
> Josh
>
> On Sun, Aug 7, 2011 at 6:19 PM, B Jessop wrote:
> >
> >
> > Dear help list:
Dear Helplist:
I am trying, unsuccessfully, to rename levels of a factor in a dataframe. The
dataframe consists of two factor variables and one numeric variable as follows:
Factor Site has 2 levels AB and DE, factor Fish has 30 levels, 15 associated
with each Site e.g. 1-1, 1-2,.2-1, 2
Tyler,
Tried your solution: levels (Data1$Site <- list(Fw = c("AB"), Est = c("DE")))
but still got a NULL response to str(Data1) and an alternating list of Fw, Est,
Fw, Est under Site when looked at in the Data editor in R console. The use of
the "levels" function would seem to be appro
Tyler,
My apology. It does help to type correctly and eliminate unnecessary spaces in
commands. The following does work correctly:
levels(Data1$Site) <- list(Fw = c("AB"), Est = c("DE"))
Thanks very much,
BJ
> From: deel...@hotmail.com
>
Dear r-help,
I would like to select a subset of levels from a factor variable in a data
frame and return a data frame.
The data set consists of 3 variables, 2 of which are factors (Site, Fish) and
one numeric (Datavalue) as follows:
Site Fish Datavalue
AB 2-12.3
AB
R-help, I recently updated R from 2.13.0 to 2.13.1 (32-bit Windows version) and
now have a problem updating packages. I am running Windows 7 as operating
system. As the FAQ suggests, I uninstalled 2.13.0 before installing 2.13.1.
On first opening R, I ran "update.packages(checkBuilt=TRUE,
l.G.mct, test = adjusted(type = "single-step")). Any
suggestions as to how to create a composite factor variable in the dataframe
that would permit execution of the analysis code would be much appreciated. I
am using R version 2.13.0 with packages lme4 and multcomp loaded. Regar
= adjusted(summarytype = "single-step")) Clearly,
this approach is incorrect (and I have tried others). How can I introduce the
selected set of contrasts into the mct? Thanks for any help provided.
Regards,B. Jessop
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Dear Help-list, I have solved the problem by simply deleting the erroneous "0"
in the "CR core - CR EC" contrast and deleting the unnecessary command
"test=adjusted(summarytype = "single-step")". Regards,B. Jessop
> From: deel...@hotmail.com
>
Hello, I have run a linear discriminant analysis for the simple 2 group case
using the MASS package lda() function. With priors fixed at 0.5 and unequal n
for each group, the output basically provides the group means and the LD1
value. There is no automatic output of the cutoff (decision b
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