similar to: Object xxx not found

> get.hist.quote(instrument="INR/USD", provider="oanda", start="2005-10-20") trying URL 'http://www.oanda.com/convert/fxhistory?lang=en&date1=10%2F20%2F2005&date=11%2F01%2F2005&date_fmt=us&exch=INR&exch2=&expr=USD&expr2=&margin_fixed=0&&SUBMIT=Get+Table&format=ASCII&redirected=1' Content type

Hi I am not sure why I can't get my plot saved to a file as .ps, I searched online and I found that I have to use something is called postscript,png or pdf function which I did but still not working. Actually what I have is a matrix with almost 300-400 columns. I need to create a histogram and boxplot for some columns as .ps file (with reasonable size if i can adjust that would be nice also)

Hello all: Friend told me that we can download the stock historical quote from Yahoo site by R! Could you tell me that is true or not, how to do that? Thanks! -- View this message in context: http://r.789695.n4.nabble.com/How-download-Yahoo-Quote-tp3769563p3769563.html Sent from the R help mailing list archive at Nabble.com.

From: Raphael S. Carvalho <raphael.scarv at gmail.com> Wrote the documentation below. I think it would be good to push the doc to the wiki as soon as the UFS support gets merged. Unix Fast File System (UFS/FFS) 1/2 on Syslinux - (usage/install) ----- There is a confusion about the name of this file system, then I decided to contact the author who replied: "The name has always been

I have what is probably a simple problem. I have a data file from an MCMC Bayes estimation problem that is a vector of 500,000 numeric values (just one variable) ranging from 100,000 to 700,000. I need to display the histogram of this data in a high quality graphic for a figure in a journal publication. I want 100 bins so as to display a reasonable complete and smooth histogram, and I need the

Estimados compañeros, hoy me ha surgido una duda, quizás trivial, pero que no encuentro sentido. Tengo un bucle con el siguiente código: for (i in 1:n) { if (rango_inr1[i]==1 & (inr[i]>= 2 & inr[i]<= 3)) cinr[i]<-1 if (rango_inr1[i]==2 & (inr[i]>= 2.5 & inr[i]<= 3.5)) cinr[i]<-2 if (rango_inr1[i]==3 & (inr[i]>= 2 & inr[i]<= 2.9)) cinr[i]<-3 if

Hi R ?users, ? I am using R-2.14.0 on Windows XP. ? May I request you to assist me for the following please. ? I like to extract all the fields (example: a : Ask, b : Bid, ??, w : 52-week Range, x: Stock Exchange) ?for certain period of time, say, 1 October 2011 to 31 October 2011. ? Is there any R-Package(s) & any R- script please? ? Once again, thank you very much for the time you have

From: Raphael S. Carvalho <raphael.scarv at gmail.com> Change since v1: * Fix bug on dentry structure (thank you specification; btw, sarcasm), and consequently a bug on ufs_readdir. * Add readlink support (applied tests for symlinks whose destionation path were stored in blk pointers and the file itself). * Several improvements. Wrote the documentation below. I think it would be good to

HI everyone, I'm plotting a histogram in R and within that histogram i need to demonstrate the percentage of another variable (Percentage of MutStatus) within the bins plotted inthe histogram....I don't know how to do that! Data:Validation_Status Mutation_Status TvarRatio Wildtype None 0.08 Wildtype None 0.08 Wildtype None 0.08 Wildtype None 0.08 Wildtype None 0.080139373 Wildtype None

Just to inform: I posted that before in R-sig-ecology but as it might be interesting also for other useRs, I post it also to the general r-user list: Hello Alexandre, thank you very much. I also found another way to extract summarizing information from lm results over e.g. 1000 repeated model runs: results2 <- t(as.data.frame(results)) summary(results2) Although some questions popped up in

Hello - This is not a real problem, just an annoyance. Sometimes, but not always, I get a set of strange warnings from hist(). Example follows. ############################ #Produce a histogram of start dates for a set of field measurements. # I didn't reproduce all the dates, because not sure it's relevant, but here's a sample. # Note the invalid date in the fifth element. >

Check if some pointers are not NULL due to read errors or other problems Signed-off-by: Frediano Ziglio <frediano.ziglio at citrix.com> --- core/fs/ext2/ext2.c | 4 +++- 1 files changed, 3 insertions(+), 1 deletions(-) diff --git a/core/fs/ext2/ext2.c b/core/fs/ext2/ext2.c index bddde8d..8f0f2a4 100644 --- a/core/fs/ext2/ext2.c +++ b/core/fs/ext2/ext2.c @@ -139,6 +139,8 @@

Hi r-help forum, I have been collecting contact data (with proximity logger collars) between a few different species of animal. All animals wear the collars, and any contact between the animals should be detected and recorded by both collars. However, this isn't always the case and more contacts may be recorded on one collar of the two. This is fine, it depends on battery life and other

I am having trouble fitting correlation structures within nlme. I would like to fit corCAR1, corGaus and corExp correlation structures to my data. I either get the error "step halving reduced below minimum in pnls step" or alternatively R crashes. My dataset is similar to the CO2 example in the nlme package. The one major difference is that in my case the 'conc' steps are

Dear all, When analyzing data from a climate change experiment using linear mixed-effects models, I recently came across a situation where: - the summary(model) showed a significant difference between the levels of a two-level factor, - while the anova(model) showed no significance for that factor (see below). My question now is: Is the anova.lme() approach correct for that model? And why does

Hi all, >From a vector, I want to get the unique values and the counts of these unique values in the vector. For example, x<-c(2 ,1 ,2, 1, 4 ,2 ,1, 4 ,1 ,1) xu<-unique(x) xn<-numeric(length(xu)) for (i in 1:length(xu)) {xn[i]<-length(which(x==xu[i]))} There must be a very much simpler method of doing this. Can somebody direct me to the functions that I must read in order to do

I need some help understanding how on of the example data sets is formatted in the basic R installation. If I load the Mona Loa CO2 data, with the command: > data(co2) I can view the data with: > co2 And the data are in the form of 11 rows labeled as years (1994-2004) and 12 columns labeled (Jan - Dec). This structure appears to be a dataframe, however, if I type the command

Hi- I am trying to fit a log function to my data, with the ultimate goal of finding the second derivative of the function. However, I am stalled on the first step of fitting a curve. When I use the following code: FG2.model<-(nls((CO2~log(a*Time)+b), start=setNames(coef(lm(CO2 ~ log(Time), data=FG2)), c("a", "b")),data=FG2)) I get the following error: Error in

Dear list users, I have trouble with covariance analysis. I measured nitrate concentrations in the soil (NO3) and the percentage of legumes (LEG, continuous), affected by 2 different CO2 concentrations (CO2, discrete). I suspect that CO2 has an effect on LEG and NO3, but also that LEG has an effect on NO3, so this is the formula I wrote to test this: NO3 ~ CO2 + LEG + CO2:LEG Will LEG be

The formula attribute of the builtin CO2 dataset seems a bit strange: > formula(CO2) Plant ~ Type + Treatment + conc + uptake What is one supposed to do with that? Certainly its not suitable for input to lm and none of the examples in ?CO2 use the above.