Displaying 20 results from an estimated 2000 matches similar to: "Import help (neophyte)"
2005 Nov 01
1
help with hier.part
R-users,
Attached is the file (SR_use2.txt) I'd like to include and includes
column headers. nat_est is the response variable and is the number of
species at a particular point. The other variables are the explanatory
vars (vark, var2, var1, UK, U2, U1, GK, G2, G1, PK, P2, P1).
Here is Walsh's sample code for hier.part:
data(urbanwq)
env <- urbanwq[,2,8]
hier.part(urbanwq$lec,
2006 Jan 24
4
nested ANCOVA: still confused
Dear R-users,
I did some more research and I'm still not sure how to set up an ANCOVA
with nestedness. Specifically I'm not sure how to express chicks nested
within boxes. I will be getting Pinheiro & Bates (Mixed Effects Models
in S and S-Plus) but it will not arrive for another two weeks from our
interlibrary loan.
The goal is to determine if there are urbanization (purban)
2006 Oct 18
3
creating bins for a plot
Hi. I'm trying to plot the ratio of used versus unused bird houses
(coded 1 or 0) versus a continuous environmental gradient (proportion of
urban cover [purban2]) that I would like to convert into bins (0 -
0.25, 0.26 - 0.5, 0.51 - 0.75, 0.76 - 1.0) and I'm not having much luck
figuring this out. I ran a logistic regression and purban2 ends up
driving the probability of a box being
2006 Oct 05
4
glm with nesting
I just had a manuscript returned with the biggest problem being the
analysis. Instead of using principal components in a regression I've
been asked to analyze a few variables separately. So that's what I'm
doing.
I pulled a feather from young birds and we quantified certain aspects of
the color of those feathers. Since I often have more than one sample
from a nest, I thought I
2006 Oct 13
4
nontabular logistic regression
Hi. I'm attempting to fit a logistic/binomial model so I can determine
the influence of landscape on the probability that a box gets used by a
bird. I've looked at a few sources (MASS text, Dalgaard, Fox and
google) and the examples are almost always based on tabular predictor
variables. My data, however are not. I'm not sure if that is the
source of the problems or not because the
2005 Oct 07
3
index question
All,
I'm having a problem selecting directly from a vector. I've written ways to do this
indirectly, but I'd rather do it directly and didn't see this in the manual.
Essentially, I have:
> group.label.new
[1] 7 9 6 1 10 4 8 3 2 5
> junk
[1] 1 2
> group.label.new[junk && 8:10]
[1] 7 9 6 1 10 4 8 3 2 5
I'd like to select the elements
2005 Nov 11
1
glm x^2
R-users,
I'm having some trouble getting .glm and glm.nb to run a polynomial.
I've used x*x and x^2 and neither works. I've checked out the archives
and they refer to an archive that's no longer working.
I've seen that they use poly() but I'm following up my analysis with
cv.glm so I'd prefer to keep using glm. It's easier to just add a
column to my data but
2006 Jan 22
1
regression with nestedness
Dear R-users,
I set up an experiment where I put up bluebird boxes across an
urbanization gradient. I monitored these boxes and at some point I
pulled a feather from a chick and a friend used spectral properties
(rtot, a continuous var) to index chick health. There is an effect of
sex that I would like to include but how would I set up a regression and
look at the effect of urbanization
2005 Nov 19
1
predicted values from cv.glm
Hi. Is there a way to get the values predicted from (leave-one-out)
cv.glm?
It seems like a useful diagnostic to plot observed vs. predicted values.
Thanks,
Jeff
****************************************
Jeffrey A. Stratford, Ph.D.
Postdoctoral Associate
331 Funchess Hall
Department of Biological Sciences
Auburn University
Auburn, AL 36849
334-329-9198
FAX 334-844-9234
2005 Nov 08
1
Poisson/negbin followed by jackknife
Folks,
Thanks for the help with the hier.part analysis. All the problems
stemmed from an import problem which was solved with file.chose().
Now that I have the variables that I'd like to use I need to run some
GLM models. I think I have that part under control but I'd like to use
a jackknife approach to model validation (I was using a hold out sample
but this seems to have fallen out
2006 Feb 05
1
3-dimensional table
Hi,
Last week my class conducted an experiment by putting out clay
caterpillars to look at the effects of urbanization, color, and location
on caterpillar predation. There were two sites (urban, rural), three
colors (green, yellow, red) and two locations at each site (edge,
interior). The entire data set is below. I've checked out the MASS
book, Dalgaard's book, and the R-help archives
2010 Sep 14
1
NA confusion (length question)
Hi folks,
I am running a very simple regression using
mylm <- lm(mass ~ tarsus, na.action=na.exclude)
I would like the use the residuals from this analysis for more
regression but I'm running into a snag when I try
cbind(mylm$residuals, mydata) # where my data is the original data set
The error tells me that it cannot use cbind because the length of
mylm$residuals is
2011 Jul 20
2
bar chart issue
Hi everyone,
I determined the presence of three types parasites in a passerine bird
over two years. I would like to create a bar chart that shows the
proportion infected on the y and year/parasite on the x such that each
type of parasite is grouped together (single label) and a bar for each
year . This would show if there have been changes in the prevalence of
a the parasite over two years.
2010 Aug 03
2
subset based on column names and then subset based on the inverse (grep?, or...)
I would like to be able to grab x and y columns out of a dataframe and
then grab all of the columns that are not equal to x or y. I am sure
that I am missing something easy.
ftbr_UTM_downstream <- (structure(list(site =
c("Jennie_Creek_Main_Stem", "Wolf_Pit_Creek_Main_Stem",
"Little_Rockfish_Main_Stem_North", "Big_Muddy_Creek_Main_Stem",
2006 Jun 30
0
VMS (Alpha) Platform - Neophyte questions
Greetings - have downloaded , 'attempted' install of 2.2.8 on OpenVMS Alpha
systems (7.2 *and* 7.3)
Many problems, up to and including total failure to succeed.
Followed instructions (DOWNLOAD, UNZIP "-V", BACKUP.).
COMPILE FROM SOURCE - failed, although the Dec CC compiler is one I use
frequently.
LINK-ONLY - many errors
ADDED SNPRINTF.OBJ to the OLB,
1999 Apr 25
1
Neophyte question re using dyn.load and accessing c functions
I'm have what's probably a trivial &| silly problem trying to access a
c-function in a shared
library ( R 0.64, under redhat linux 5.2).
R COMPILE rctest.c
R SHLIB -o libRC.so rctest.o
produce a reasonable looking shared library ('nm libRC.so' shows that
the function 'rctest' is present).
In R, the command
dyn.load("/fullpathname/libRC.so")
2009 Oct 14
1
R neophyte question.
Hi all,
I'm currently working through the "Beginner's Guide to R" (Zurr et al.) and
I'm wondering about the first exercise in chapter 3:
I imported the data from BirdFluCases.txt and executed the 'names' and 'str'
functions as follows:
Bird = read.table(file='C:\\rbook\\BirdFluCases2.txt', header=TRUE)
names(Bird)
[1] "Year"
2007 May 09
0
Neophyte needs help!
Hi All,
Real neophyte here, to both backgroundrb and ruby/rails in general.
(Hey, we''ve all got to start somewhere, right!) :)
I''ve just been playing around with the example code at
http://backgroundrb.rubyforge.org/ , and trying to get all
the pieces to work (btw, I''m using version 0.2.1).
I did a ''generate worker example'', which created an
2011 Mar 31
2
Linear Model with curve fitting parameter?
I have a model Q=K*A*(R^r)*(S^s)
A, R, and S are data I have and K is a curve fitting parameter. I
have linearized as
log(Q)=log(K)+log(A)+r*log(R)+s*log(S)
I have taken the log of the data that I have and this is the model
formula without the K part
lm(Q~offset(A)+R+S, data=x)
What is the formula that I should use?
Thanks for all of your help. I can provide a subset of data if necessary.
2006 Feb 20
3
Boxplot Help for Neophyte
R helpers
I am getting to grips with R but came across a small problem today that I
could not fix by myself.
I have 3 text files, each with a single column of data. I read them in
using:
myData1<-scan("C:/Program Files/R/myData1.txt")
myData2<-scan("C:/Program Files/R/myData2.txt")
myData3<-scan("C:/Program Files/R/myData3.txt")
I wanted to produce a