Displaying 20 results from an estimated 500 matches similar to: "Wilcoxon Rank Sum Test."
2018 May 15
2
Systemfit
OK, Let's try this again! Here is the reproducible script; it is long because I had to copy the panel dataset here. My question is related to systemfit; I don't know how to get the result for the entire panel.
#Reproducible script
Empdata<- read.csv("/Users/ngwinuiazenui/Documents/UPLOADemp.csv")
View(Empdata)
install.packages("systemfit")
2018 May 16
0
Systemfit
Sadly you failed to set your email program to send plain text and the data is corrupted at my end.
I also think you need to reduce the size of the data set... the intent here is to increase your understanding, not debug your particular analysis.
I will say that I am having a very challenging time understanding what you are trying to accomplish though. What are the equations that you think need
2018 May 15
0
Systemfit
... and the mailing list is picky about attachments... whatever you attached did not conform to the stringent requirements mentioned in the Posting Guide. Pasting the code right into the email is usually safest, though you DO have to post using plain text (as the Posting Guide indicates) or your code may get mangled by the automatic html format removal.
On May 15, 2018 7:04:31 AM PDT, Bert Gunter
2018 May 15
1
Systemfit
Unless there is good reason not to, always cc the list -- there are lots of
smarter folks than I on it who can help.
I may or may not have time to look at this. Hopefully someone else will.
-- Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip
2010 Feb 04
2
help needed using t.test with factors
I am trying to use t.test on the following data:
date type INTERVAL nCASES MTF SDF MTO SDO
nFST MF nOBS MO MB BIASCV BIASEV ME MAE
RMSE CRCF
2001-06-15 avn GE1.00 4385 0.246 0.300 1.502
0.556 1367 1.373 4385 1.502 1.471 0.285 0.164
-1.256 1.266 1.399 0.056
2001-06-15 avn
2012 Jul 02
1
How to get prediction for a variable in WinBUGS?
Dear all,I am a new user of WinBUGS and need your help. After running the following code, I got parameters of beta0 through beta4 (stats, density), but I don't know how to get the prediction of the last value of h, the variable I set to NA and want to model it using the following code.Does anyone can given me a hint? Any advice would be greatly appreciated.Best
2013 Mar 28
0
using cvlm to do cross-validation
Hello,
I did a cross-validation using cvlm from DAAG package but wasn't sure how to assess the result. Does this result means my model is a good model?
I understand that the overall ms is the mean of sum of squares. But is 0.0987 a good number? The response (i.e. gailRel5yr) has min,1st Quantile, median, mean and 3rd Quantile, and max as follows: (0.462, 0.628, 0.806, 0.896, 1.000, 2.400) ?
2005 Jan 25
3
multi-class classification using rpart
Hi,
I am trying to make a multi-class classification tree by using rpart.
I used MASS package'd data: fgl to test and it works well.
However, when I used my small-sampled data as below, the program seems
to take forever. I am not sure if it is due to slowness or there is
something wrong with my codes or data manipulation.
Please be advised !
The data is described as the output from str()
2006 May 24
2
data.frame
Dear all,
Does any one knows why should I get the following error message, when trying
to do a simple data.frame??
DataF<-data.frame(Subject,BiomR,Spp,Capas,Litter,Herbs,LitterD,MaxCanH,DDifS
p,DSSp,Slope, CanDens,NearestSp)
Erro em data.frame(Subject, BiomR, Spp, Capas, Litter, Herbs, LitterD, :
arguments imply differing number of rows: 202, 0
The data I am using
2005 Apr 05
2
Principle Component Analysis in R
Dear R
Should I be concerned if the loadings to a Principle Component Analysis are
as follows:
Loadings:
Comp.1 Comp.2 Comp.3 Comp.4
X100m -0.500 0.558 0.661
X200m -0.508 0.379 0.362 -0.683
X400m -0.505 -0.274 -0.794 -0.197
X800m -0.486 -0.686 0.486 0.239
Comp.1 Comp.2 Comp.3 Comp.4
SS loadings 1.00 1.00 1.00 1.00
Proportion Var 0.25 0.25 0.25
2010 Jun 26
1
predict newdata question
Hi:
I am using a subset of the below dataset to predict PRED_SUIT for
the whole dataset but I am having trouble with 'newdata'. The model
was created with 153 records and want to predict for 208 records.
wolf2 <- structure(list(gridcell = c(367L, 444L, 533L, 587L, 598L, 609L,
620L, 629L, 641L, 651L, 662L, 674L, 684L, 695L, 738L, 748L, 804L,
805L, 872L, 919L, 929L, 938L, 950L, 958L,
2010 Sep 06
1
nlme Output
Everyone -
What do the NaN's mean here? Is this analysis a problem?
Linear mixed-effects model fit by maximum likelihood
Data: tmp.dat
AIC BIC logLik
1611.251 1638.363 -797.6253
Random effects:
Formula: ~1 | group_id
(Intercept) Residual
StdDev: 0.0003077668 9.236715
Fixed effects: AvgTrials ~ time + factor(group_id) + time *
factor(group_id)
2012 Mar 16
1
multivariate regression and lm()
Hello,
I would like to perform a multivariate regression analysis to model the
relationship between m responses Y1, ... Ym and a single set of predictor
variables X1, ..., Xr. Each response is assumed to follow its own
regression model, and the error terms in each model can be correlated.
Based on my readings of the R help archives and R documentation, the
function lm() should be able to
2008 Feb 19
4
[LLVMdev] 2008-01-25-ByValReadNone.c Failure
Hi all,
I'm seeing this failure on my PPC G4 box running TOT with llvm-gcc
4.2. Is anyone else seeing this? I'm sure it's related to the byval
stuff that's recently gone into LLVM. I'm attaching the output of
this command:
$ llvm-gcc -emit-llvm -O3 -S -o - -emit-llvm /Users/wendling/llvm/
llvm.src/test/CFrontend/2008-01-25-ByValReadNone.c
As you can see in it, there
2011 Jul 25
4
ggplot question: changing the label for the Y axis on a histogram
Some help with how to re-label the vertical axis in a histogram would be appreciated.
qplot(off.sc,weight=rel.freq,binwidth=.29,main="test Figure"+ylab("New from inside"))+ylab("New from outside")+
xlab("off.sc\nAggregated frequency plots for 17 equal intervals.")
The code
2000 Jan 11
1
a +1 shift overlaying lines/points on a boxplot (PR#398)
Full_Name: Adrian Custer
Version: 0.90.0
OS: Linux on Thinkpad (pentium) and desktop (K6)
Submission from: (NULL) (128.32.251.234)
When I create a boxplot, and then try to overlay a lowess fit or just the
points,
the points do not appear in the highest level and the lowess curve does not
reach
the highest level. However, if I add one to each of the models, the problem is
solved.
I tried this
2009 Jan 28
1
gls prediction using the correlation structure in nlme
How does one coerce predict.gls to incorporate the fitted correlation
structure from the gls object into predictions? In the example below
the AR(1) process with phi=0.545 is not used with predict.gls. Is
there another function that does this? I'm going to want to fit a few
dozen models varying in order from AR(1) to AR(3) and would like to
look at the fits with the correlation structure
2011 Apr 05
6
simple save question
Hi,
When I run the survfit function, I want to get the restricted mean
value and the standard error also. I found out using the "print"
function to do so, as shown below,
print(km.fit,print.rmean=TRUE)
Call: survfit(formula = Surv(diff, status) ~ 1, type = "kaplan-meier")
records n.max n.start events *rmean *se(rmean) median
200.000
2006 Oct 10
3
possible bug? (PR#9285)
=20
=20
I use the FEAR package available from=20
=20
http://www.clemson.edu/economics/faculty/wilson/
=20
which works perfectly in Rv2.2.0; after installing from a local zip and
loading I find:
=20
USING R version 2.2.0
=20
> local({pkg <- select.list(sort(.packages(all.available =3D TRUE)))
+ if(nchar(pkg)) library(pkg, character.only=3DTRUE)})
Loading required package:
2009 Aug 02
1
Competing Risks Regression with qualitative predictor with more than 2 categories
Hello,
I have a question regarding competing risk regression using cmprsk package (function crr()). I am using R2.9.1. How can I do to assess the effect of qualitative predictor (gg) with more than two categories (a,b,c) categorie c is the reference category. See above results, gg is considered like a ordered predictor !
Thank you for your help
Jan
> # simulated data to test
> set.seed(10)