Thank you, Ista, for your quick response and tip. I would love to make a
reproducible example and was not aware of the dput codes as I am a new user.
Is there anywhere I can read up on how to use dput?
Sigrid
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Hello:
I am new using R. I have a file that contain in the same columns date and time
like for example 2011/10/03 12:34:45.123423 p.m., but when I read the file and
display the vector, I see of this way 2011-10-03 12:34:45.123423. I need to
convert the time in a numeric and the date if is
On Sun, 10 Jul 2011, Amy Ruiz Goyco wrote:
Hello:
I am new using R. I have a file that contain in the same columns
date and time like for example 2011/10/03 12:34:45.123423 p.m., but
when I read the file and display the vector, I see of this way
2011-10-03 12:34:45.123423. I need to
On Jul 10, 2011, at 09:15 , Prof Brian Ripley wrote:
article on date-times (not the un-refereed one in R-News 4/1) to gain more
understanding.
Just to clarify, R News articles were in general refereed (single reviewer), at
least in the later years, but the one you're referring to is a Help
Data = readSeries(file=Data.csv1.csv,header=T,sep=,,format=%Y-%m-%d)
after i enter this command it says it 'Error: could not find function
readSeries'
Please help thanks.
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On Jul 10, 2011, at 09:44 , peter dalgaard wrote:
On Jul 10, 2011, at 09:15 , Prof Brian Ripley wrote:
article on date-times (not the un-refereed one in R-News 4/1) to gain more
understanding.
Just to clarify, R News articles were in general refereed (single reviewer),
at least in
finguy wrote:
Data = readSeries(file=Data.csv1.csv,header=T,sep=,,format=%Y-%m-%d)
after i enter this command it says it 'Error: could not find function
readSeries'
Please help thanks.
You need to load the library timeSeries first before you can use functions
defined by the package.
I re-entered the command and then this appeared
Error in midnightStandard2(charvec, format) :
'charvec' has non-NA entries of different number of characters
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[code]require(survival)
coxph(Surv(futime,fustat)~age + strata(rx),ovarian)
Call:
coxph(formula = Surv(futime, fustat) ~ age + strata(rx), data = ovarian)
coef exp(coef) se(coef) z p
age 0.137 1.15 0.0474 2.9 0.0038
Likelihood ratio test=12.7 on 1 df, p=0.000368 n= 26,
At 12:30 09/07/2011, Simon Chamaillé-Jammes wrote:
Dear all,
sorry if this is a bit on the sidetrack for R-help.
As a regular R user I have developed quite a lot
of custom R functions, to the point of not
always remembering what I have already programmed, where the file is and so on.
I was
David, you are right, I seem not to be able to reproduce the problem
with a synthetic file see attached). However, if I run
tst-read.ods(file=test.ods,stringsAsFactors=FALSE)
I do not get a data.frame() in tst[[1]], just a vector of the row names:
1 tst[[1]]
[1] NA row1 row2 row3 row4
Hi:
Here's a simple example:
df - data.frame(x = 1:10, y = rnorm(10))
dput(df)
structure(list(x = 1:10, y = c(-1.55669581922794, -0.6086844726417,
-0.414989571570644, -0.202690819994734, -0.421436945159872,
0.00216009424665418,
-0.193955384660702, -0.764966890023485, -0.740871219664316,
On Sun, Jul 10, 2011 at 3:55 AM, peter dalgaard pda...@gmail.com wrote:
On Jul 10, 2011, at 09:44 , peter dalgaard wrote:
On Jul 10, 2011, at 09:15 , Prof Brian Ripley wrote:
article on date-times (not the un-refereed one in R-News 4/1) to gain more
understanding.
Just to clarify, R
I'm using the image.plot() function (fields package), but I want to enlarge
the characters of the legend (as they are too small to be read in a combined
figure), but there is no way I can find a command to do this. I can enlarge
the legend bar (with legend.witdh), axis character size (cex.axis)
On Jul 10, 2011, at 6:16 AM, dmeire wrote:
I'm using the image.plot() function (fields package), but I want to
enlarge
the characters of the legend (as they are too small to be read in a
combined
figure), but there is no way I can find a command to do this. I can
enlarge
the legend bar
On Jul 10, 2011, at 11:03 AM, Fredrik Karlsson wrote:
Dear list,
I'm working on a panel function where I would like to be able to
visualise
data grouped by the category of the data, and then also changes in
summary
descriptives from one condition to another in the same scatter plot.
( after getting confirmation of lack of posts try again, LOL )
From: marchy...@hotmail.com
To: r-help@r-project.org
Subject: RE: [R] Using t tests
Date: Sun, 10 Jul 2011 10:13:51 -0400
( sorry if this is a repost but I meant to post to list and
To paraphrase your sig:
Rhelp answers are like a trumpet - if you don't put any code and data into
them, you don't get anything out of it.
--
Life is like a trumpet - if you don't put anything into it, you don't get
anything out of it.
David Winsemius, MD
West Hartford, CT
Yes, and
Same here.
Just made my first package and regret not having learned how to do it from
the very beginning.
Steve
On Sun, Jul 10, 2011 at 3:27 AM, Michael Dewey i...@aghmed.fsnet.co.ukwrote:
At 12:30 09/07/2011, Simon Chamaillé-Jammes wrote:
Dear all,
sorry if this is a bit on the
Having a hard time understanding the help files for tryCatch. Looking for a
little help with the following statement which sits inside a for loop
zest[i] - tryCatch(sapply(getNodeSet(zdoc, //zestimate/amount),
xmlValue), error=function() zest[i] -NA)
zest is a numeric vector
If the sapply
Hello,
I was interested in trying to write an R script to calculate a UCL for a
lognormal distribution using the Chebyshev Inequality MVUE Approach (based on
EPAs guidance found in http://www.epa.gov/oswer/riskassessment/pdf/ucl.pdf).
This looks like it should be straight forward, but I am
Dear Josh,
thank you so much for working this out for me - it works really well now!
My only remaining problem is that I can't seem to plot the gradients to
color.edge in plot.phylo() for my tree, but I've asked the relevant list
(R-sig-phylo) for some troubleshooting with that.
Many thanks
On 10-Jul-11 16:27:04, Durant, James T. (ATSDR/DTEM/PRMSB) wrote:
Hello,
I was interested in trying to write an R script to calculate a
UCL for a lognormal distribution using the Chebyshev Inequality
-- MVUE Approach (based on EPAs guidance found in
Don't bother putting the 'zest[i]-' into the error handler: the
retun value of the handler will be the return value of tryCatch:
E.g.,
tryCatch(stop(Oops), error=function(cond)NA,
warning=function(cond)-1)
[1] NA
tryCatch(warning(Hmm), error=function(cond)NA,
warning=function(cond)-1)
Thank you very much, this code worked.
I will refer future geospatial queries to R-sig-geo, as suggested.
I have also edited the original shapefile in QGIS to remove the error, as
suggested by Barry Rowlingson.
Dan
-Original Message-
From: Roger Bivand [mailto:roger.biv...@nhh.no]
On Jul 10, 2011, at 2:49 PM, (Ted Harding) wrote:
On 10-Jul-11 16:27:04, Durant, James T. (ATSDR/DTEM/PRMSB) wrote:
Hello,
I was interested in trying to write an R script to calculate a
UCL for a lognormal distribution using the Chebyshev Inequality
-- MVUE Approach (based on EPA’s guidance
On 2011-07-10 03:16, dmeire wrote:
I'm using the image.plot() function (fields package), but I want to enlarge
the characters of the legend (as they are too small to be read in a combined
figure), but there is no way I can find a command to do this. I can enlarge
the legend bar (with
Hello, I am new to R - could somebody suggest a function to investigate for
the following:
I have data of the form
OA_CODE VALUE
xyz 0.42
abd 0.10
but I have it in 12 separate files, each with output areas and value for one
of 12 regions. I would like to combine the 12
I tried the following:
zest[i] - tryCatch(sapply(getNodeSet(zdoc, //zestimate/amount),
xmlValue), error=function() NA)
Here's what happens :
Error in zest[i] - tryCatch(sapply(getNodeSet(zdoc, //zestimate/amount),
:
replacement has length zero
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Thanks so much! The single did it, and now I know how that works
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chart.Regression(MCD,SPX, Rf = .03/12, excess.returns = TRUE, main =
Security Characteristic Line, fit = c(loess, linear), legend.loc =
topleft)
Error in as.vector(data[, i]) : subscript out of bounds
Why is this happening? Thanks
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Am I missing a Package? I'm not sure why is won't read the functions. Any
help is much appreciated.
PData = Data[,3:10]
Spec = portfolioSpec()
Error: could not find function portfolioSpec
setTargetReturn(Spec) = mean(colMeans(PData))
Error in setTargetReturn(Spec) = mean(colMeans(PData)) :
Hi,
Please provide a *reproducible* example (as the posting guide
requests). It is also courteous to report your version of R and the
package which contains the chart.Regression() function. We can look
it up, but it saves time if you just say it.
Josh
On Sun, Jul 10, 2011 at 12:52 PM, finguy
Hi,
If all the datasets have the same columns, you could just use rbind().
You might also look into the merge function. You can look up the
documentation by typing (at the console):
?rbind
?merge
We can give more detailed help with a more detailed example.
Cheers,
Josh
On Sun, Jul 10, 2011
On Sun, Jul 10, 2011 at 12:32 PM, finguy bball3br...@hotmail.com wrote:
Am I missing a Package? I'm not sure why is won't read the functions. Any
That is the implication, yes. To find out which one (though one
wonders how you got this code without knowing the packages it runs
on), you can use
region1 - read.table(file1, header=T)
...
region12 - read.table(file12, header=T)
region - data.frame(rbind(region1, region=1)..., rbind(region12, region=12)))
rm(region1, region2, region3..., region11, region12)
On 10 July 2011 12:22, majesty juta.kawalerow...@stx.ox.ac.uk wrote:
Hello, I am
Look at what sapply() is returning before you
assign it into zest[i]. If the return value has
length 0, set zest[i] to NA. If it has length
more than 1, I don't know what you want to do.
If it has length 1 then do the assignment.
zest - numeric(1)
tmp - tryCatch(sapply(...), error=function()NA)
R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i386-pc-mingw32/i386 (32-bit)
Thanks for responding Josh. I got all the codes from my professor. Here is
what was required
##Load fPortfolio, PerformanceAnalytics, fOptions
Hi,
1) Still not reproducible because we do not have E.csv
2) The help list is not for homework questions. Many (most?)
professors and/or their TAs offer office hours where they are willing
to provide help and guidance (unless, of course, the assignment is
meant to encourage you to learn on your
Hi Professor:
When I read the file, the time in military time and date are stored in the same
vector as follows:
2011-01-29 16:15:11.823547
I want to take all the hours saved in that file and categorize them as day and
night.
For
example, the day would be between 06:00:00-19:00:00 and
Hi,
I tried running the function terasvirta.test in the package tseries
for a univariate tseries object.
For eg.
x- as.ts(rnorm(1000))
terasvirta.test(x)
I get the following error
Error in as.matrix(y) : argument y is missing, with no default
The function seems to expect a default y argument
try this:
x - data.frame(time = seq(as.POSIXct(2011-1-1 00:00), by = '1 hour',
length = 300))
# default to night
x$day - FALSE
# now set days to TRUE
# get hour/minutes
temp - format(x$time, %H%M)
x$day[temp = 0600 temp 1900] - TRUE
head(x, 30)
time day
1
Bill, first off, thanks much for helping me through this. I think the best
approach might be for me to attach the actual code.
I could probably do the if-else-else that you suggested. But I have eight
different variables with the same basic issue (note that six of the eight
are commented out
Hello R users,
I am fitting a spatio-temporal model for the areal data related to school
districts of Texas, US using geobugs. For that I need to load the polygon shape
file in geobugs.In Bradley Carlin's website there was an S-plus program called
poly.S to extract polygons for any state in
Ah, thanks so much.
I found the excel spreadsheet almost right after I posted to the r group. I had
concerns about using Chebyshev and wanted to reproduce Dr. Whubers simulation
to see for myself how it performs. To be clear I normally use Lands exact or
bootstrap for the UCL (or sometimes
I have the following code to determine the probability of a t-cell
encountering an antigen after m steps.
probability - function(N, f, m, b, x, t) { #using ifelse instead of if/else
#N is the number of lymph nodes
#f is the fraction of Dendritic cells (in the correct node) that
The formula from Finley is reproduced in Johnson, Kotz, and
Balakrishnan's Continuous Distributions: Vol. 1 in the beginning of
their Log Normal chapter. I am not clear that the recursive formula in
W. Huber's spreadsheet is a correct representation of the iterative
version there, but
On Jul 10, 2011, at 9:09 PM, mousy0815 wrote:
I have the following code to determine the probability of a t-cell
encountering an antigen after m steps.
probability - function(N, f, m, b, x, t) { #using ifelse instead of
if/else
#N is the number of lymph nodes
#f is the fraction of
This fixed my problem thanks.
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R-help@r-project.org mailing list
Hi:
Works for me:
library(tseries)
Loading required package: quadprog
Loading required package: zoo
‘tseries’ version: 0.10-25
‘tseries’ is a package for time series analysis and computational
finance.
See ‘library(help=tseries)’ for details.
x- as.ts(rnorm(1000))
str(x)
I have successfully used R2WinBUGS in the past and an trying to use basically
the same code with some different data but I'm getting the following error:
out - bugs(data=win.data, inits=inits, parameters.to.save=params,
model.file = PoissonGLMM.txt, n.chains=nc, n.iter=ni, n.burn=nb,
I have successfully used R2WinBUGS in the past and an trying to use basically
the same code with some different data but I'm getting the following error:
out - bugs(data=win.data, inits=inits, parameters.to.save=params,
model.file = PoissonGLMM.txt, n.chains=nc, n.iter=ni, n.burn=nb,
Sorry for the additional post - I received the suggestion to include the
following additional information:
* traceback()*
5: FUN(X[[12L]], ...)
4: lapply(data, formatC, digits = digits, format = E)
3: write.datafile(lapply(data, formatC, digits = digits, format = E),
file.path(dir,
Sorry for continuing to reply to myself. I believe that my problem was
putting a factor (plot) in my data for the bugs(data,...) call. I still
have stuff to work out in the code but I don't get the error if I exclude
plot from the win.data - list(...) assignment. I have to think if that will
now
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