R
I am taking an excel dataset and reading it into R using read.table.
(actually I am dumping the data into a .txt file first and then reading data
in to R).
Here is snippet:
> head(data);
Date Price Open.Int. Comm.Long Comm.Short net.comm
1 15-Jan-86 673.25175645 65910 28
issue of the independence of several data points measured on the
same subject, or from the same plot over time.
Any perspectives will be welcome,
Andy Park (Assistant Professor)
Centre for Forest Interdisciplinary Research (CFIR),
Department of Biology,
University of Winnipeg,
515 Portage Avenue
be the same as
plot( jdat, miles, log=""). The figures are the same, but the one with
type="p" option yields a warning message.
Do you think it is a R bug?
Thanks for your valuable time.
C. Park
Note: I used the following R version
platfo
h=TRUE etc. I managed to figure that ok.
However, I could not figure out how to get the labels myData1, myData2, and
myData3 on the boxplot x-axis to denote which box was which (though I knew
by looking). Can anybody help with this?
I trawled through my downloaded R pdfs but cou
Hi,
I am so novice in using R. I have some problems in my R script below
which fits time series data and predict it one-step ahead. Here is a
brief explanation on what I try to achieve
Th16k is time series data (500 data points). The size of window for
fitting and predicting is 50 (data point
Hi to all,
I am a PH.D Student doing statistical analysis.
I am totally new to R. I previously use Stata and am changing into R. I
ususally do with logit regression with binary dependent variable (war
occurence:1 or 0).
I just want to know command to do that. More sepcifically,
Let say, my
Dear R users,
I'm using R 2.1.0 with Windows 2000. In the middle of a R session, an error
message pops up saying Rgui.exe generated errors and shuts down the R
session. How can I correct this problem? Appreciate your help.
Kyong
[[alternative HTML version deleted]]
I appreciate to Roger Koenker, Achim Zeileis and Vito Muggeo for their
informative answers. Listed below is unedited replies I got followed by the
question I posted.
Kyong
1. Roger Koenker:
You might try rqss() in the quantreg package. It gives piecewise
linear fits
for a nonparametric form of
Hello, R users,
I applied segmented regression method contributed by Muggeo and got
different slope estimates depending on the initial break points. The results
are listed below and I'd like to know what is a reasonable approach handling
this kinds of problem. I think applying various initial break
Hi, do you have any luck in fitting the regression? If so can you share with
me? I appreciate your help.
Kyong
[[alternative HTML version deleted]]
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE d
, pch=".")
I can't put these two figures in the same page.
Does anyone have a good idea about this?
Jong Hee Park
Department of Political Science
Washington University in St.Louis
Campus Box 1063
One Brookings Drive
St. Louis, MO
I really appreciate all the helpful answers from Richard Müller, Marc
Schwartz, Adaikalavan Ramasamy, Vito Ricci. I tried Marc's simple suggestion
which was to copy only the data area and paste to a new excel sheet, and
that solved my problem. I'll try other suggestions while I'm learning more
abou
Sorry for not mentioning about OS for importing an excel file in an
previous email. I'm using R 1.9.1 with Windows 2000.
Kyong
[[alternative HTML version deleted]]
__
[EMAIL PROTECTED] mailing list
https://www.stat.math.ethz.ch/mailman/listinf
Hello, R users,
I am a very beginner of R and tried read.csv to import an excel file after
saving an excel file as csv. But it added alternating rows of fictitious NA
values after row number 16. When I applied read.delim, there were trailing
several commas at the end of each row after row number 1
Hi!
I have a dissimilarity matrix X and try to compare it with X' =
dist(cmdscsale(X,k)).
If I increase k, I should expect that the error (or fit) should
monotonically decrease, right.
Here is a sample code;
library(mva)
set.seed(12345)
x <- as.matrix(dist(matrix(rnorm(100),ncol=10,byrow=
15 matches
Mail list logo