how can i calculate the probability of occurrence of an event and the
probability of an event upon the occurrence of another event.
P (A) and P (A | B) ..
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__
Hello, Francesco,
these could be considered as two of the central questions in statistics in
general ... but they do not necessarily have anything to do with R.
Regards -- Gerrit
On Fri, 6 Sep 2013, Francesco Miranda wrote:
how can i calculate the probability of occurrence of an event and
It should work. I've used it several times with 3.01 in Linux. Just make
sure you load the library:
library(foreign)
day-read.dta(filelocation/abc.dta)
Carlos
On Thursday, September 5, 2013, Debasish Roy wrote:
I've been using R 3.0.1 version. I tried to read a file named abc.dta()
I used
On Sep 6, 2013, at 12:34 , Gerrit Eichner wrote:
Hello, Francesco,
these could be considered as two of the central questions in statistics in
general ... but they do not necessarily have anything to do with R.
Regards -- Gerrit
Yes.
However, since it is Friday and my brain is fried
My xyplot() with superposed multiple condiions looks
better with lines than with points (it's easier to see
changes over time with the lines). But, there are gaps in the
years (the x axis) for which there are data to be plotted.
For example, there are data for years 2004-2006 and
That's perfect. Thanks!
On Fri, Sep 6, 2013 at 12:45 AM, Pascal Oettli kri...@ymail.com wrote:
Hello,
Using a web search engine, I found, for example:
http://www.unt.edu/benchmarks/archives/2003/february03/rss.htm
http://sas-and-r.blogspot.jp/2012_09_01_archive.html
Hope this helps,
How to calculate the probability P (xt q | yt q) where xt and yt are two time
series and q is a conditional quantile.
thankFrancesco Miranda
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R-help@r-project.org
On Sep 6, 2013, at 9:36 AM, Francesco Miranda kicco1...@hotmail.it wrote:
How to calculate the probability P (xt q | yt q) where xt and yt are two
time series and q is a conditional quantile.
thankFrancesco Miranda
You were told previously,
Does this modification work for you:
par(mar=c(10,4,4,2))
plot(set1$duration,set1$duration.1,type=b,col = blue, ylab=, xaxt =
'n', xlab=,las=2,lwd=2.5, lty=1,cex.axis=2.5)
# now plot you times
axis(1
, at = set1$duration
, labels = format(set1$duration, format = %H:%M)
, las = 2
gist with code and respective errors: http://goo.gl/r6VrHl
would appreciate any input on how to get around the java vm problem.
btw, the very idea of connecting R and netlogo is superb
copying Jan in case he might have some input
many thanks
__
I'm stumped. I have a dataset I want to melt to create a temporal sequence of
events for each subject, but in each row, I would like to retain the baseline
characteristics.
D - structure(list(ID = c(A, B, C, D, E, F, G, H, I, J),
AGE = structure(c(68L, 63L, 55L, 64L, 60L,
i dont think it works. is there any function in any package?
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View this message in context:
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Sent from the R help mailing list archive at Nabble.com.
__
On 06-09-2013, at 19:32, Waqas Shafqat waqas1...@gmail.com wrote:
-- Forwarded message --
From: Waqas Shafqat waqas1...@gmail.com
Date: Fri, Sep 6, 2013 at 10:31 PM
Subject:
To: rosy...@msu.edu
sorry sir
i have istalled plantbreeding libraray..but when i give
On 06/09/2013 5:29 AM, Markus Gschwind wrote:
Hello,
I am a beginner of R but knowing SPSS and matlab.
I need to analyse my data with a mixed type cluster analysis, that's why I
am looking into R.
I have a datasheet with 45 subjects (rows) and 30 variables of each subjet
(columns) in Excel
Hi Benjamin,
This looks like a bug, whereby melt fails when numeric id.vars have
attributes. Consider:
D - structure(list(ID = c(A, B, C, D, E, F, G, H, I, J),
AGE = structure(c(68L, 63L, 55L, 64L, 60L, 78L,
60L, 62L, 60L, 75L),
label =
It looks like all of your problem are associated with failing to installing
dependencies of the plantbreeding package.
install.packages(qtl)
install.packages(ggplot2)
install.packages (onemap)
install.packages(grid)
install.packages (agricolae)
install.packages (reshape)
install.packages (lme4)
Elaine:
You would do better posting this on the R-sig-ecology list, I believe. THE
r-help list is mostly for general R programming questions, while the
ecology list readers will have expertise more closely related to your
specific issues.
Cheers,
Bert
On Fri, Sep 6, 2013 at 3:25 PM, Elaine
You would do better to post this on the R-sig-mixed-models or
R-sig-ecology list.
Cheers,
Bert
On Fri, Sep 6, 2013 at 9:57 AM, Meredith, Christy S -FS
csmered...@fs.fed.us wrote:
Hello,
I have developed this model to test change in PTFines6 over time. I have
random effects of watershed
I have been struggling to try many ways with old version of R tools,
MikTex, and R versions including R-patached and R-devel, os version
(windows 7 and 8), but no luck to pass R CMD check at all. It seems that
the missing inconsolata.sty is a key issue to bother so many R users,
especially for
HI,
Using the example dataset (Test_data.csv):
dat1- read.csv(Test_data.csv,header=TRUE,sep=\t,row.names=1)
indx2-expand.grid(names(dat1),names(dat1),stringsAsFactors=FALSE)
indx2New- indx2[indx2[,1]!=indx2[,2],]
res2-t(sapply(seq_len(nrow(indx2New)),function(i) {x1- indx2New[i,];
Dear Gavin
I got the code to work by setting the 'bar' to DOY as this was the measured
time step. I stumbled across another problem, on some days I have multiple
measurements which isn't allowed in corCAR1, therefore I've had to take the
average of the replicates as suggested in another R
HI,
No problem. Suppose you have many matrices and you want to sum up the repeated
variables, may be this helps:
#Creating one more matrix which has some repeated variables.
m6- as.matrix(read.table(text=y1 e5 s2
y1 0 1 1
e5 1 0 1
s2 1 1 0,sep=,header=TRUE))
#m1:m5 same as previous
Hello,
I have developed this model to test change in PTFines6 over time. I have random
effects of watershed (HUC3) and management type (mgmt3), and then I have the
YrC/SiteID random effect which is the longitudinal time effect. But I recently
found out that I need to incorporate a compound
[Probably an R-Sig-geo question...]
On Fri, Sep 6, 2013 at 3:57 PM, philippe massicotte
pmassico...@hotmail.com wrote:
Hi everyone.
I would like to know if it is possible to combine rasters in R to form a
collage.
For example, I would like to place 2 copies of the R logo side by side.
Hi everyone.
I would like to know if it is possible to combine rasters in R to form a
collage.
For example, I would like to place 2 copies of the R logo side by side.
r = raster(system.file(external/rlogo.grd, package = raster))
After reading the help file (maybe I missed it) I did not
I have a data frame with a character field of the form ACUTE URI NOS, OPEN
WOUND OF FOREHEAD, CROUP, STREP SORE THROAT,
How can I get counts of all the words and their co-occurences? I've spent a
long time searching on google, but it just takes me on a wild goose chase of
dozens of
I have a data frame with a character field of the form ACUTE URI NOS, OPEN
WOUND OF FOREHEAD, CROUP, STREP SORE THROAT,
How can I get counts of all the words and their co-occurences? I've spent a
long time searching on google, but it just takes me on a wild goose chase of
dozens of
Hi all;
I have a data set with the format below:
Year, Day, Hour, Value
2010, 001,0,15.9
2010, 001,1,7.3
2010, 001,2,5.2
2010, 001,3,8.0
2010, 001,4,0.0
2010, 001,5,12.1
2010, 001,6,11.6
2010, 001,7,13.9
2010, 001,8,
Dear all,
I am facing a problem with running a script that i have written in R and i hope
you can help me spot which exactly is the problem and how i can solve it.
The error I get is the following:
Error in .jcheck(silent = FALSE) :
Java Exception no description because toString()
Henry,
Have look at the qdap package's termco, wfm, adjacency_matrix, and (possibly)
word_associate functions. I'm not sure if they'll work as you really don't
give much in the way of what the data is and the desired output (an example of
the output).
Cheers,
Tyler Rinker
HI,
The question is not clear.
Lines1- readLines(textConnection(Year, Day, Hour, Value
2010, 001, 0, 15.9
2010, 001, 1, 7.3
2010, 001, 2, 5.2
2010, 001, 3, 8.0
2010, 001, 4, 0.0
2010, 001, 5, 12.1
2010, 001, 6, 11.6
2010, 001, 7, 13.9
2010,
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