similar to: Putting a text box in a plot

Hello, everyone I wonder if it is possible to PHYSICALLY open an Excel file from R. The reason I ask is, I produce regularly an Excel file in R, and then I want to make it look good, so I have a VBA routine in another Excel file that works on the regular Excel file. This formatting file executes VBA code on open, so all I need to do is physically open it (no reading/writing at all). I wonder if

Hello, everyone I run Eclipse Ganymede and R 2.7.2 at work. I have one R script file where I open in memory a new xls file (using xlsReadWritePro), call other R scripts, which are in the same folder as the main R script, which get data from an existing xls file, process data, and output results in the xls file which is in memory. That is the idea. But I cannot make it work. First, I do not

Hello, everyone I wonder if there is in R somewhere a function similar to cumsum(). The function calculates a statistic (say mean or standard deviation) buy adding consequtively one more data point. So, say I have a timeseries of 100 observations. I start by calculating mean of first 30 observations Then I add one observation and calculate mean of 31 observations Then I add one more observation

Hello, everyone I have a piece of code that looks like this: mrets <- merge(mrets, BMM.SR=apply(mrets, 1, MyFunc, ret="BMM.AV120", stdev="BMM.SD120")) mrets <- merge(mrets, GM1.SR=apply(mrets, 1, MyFunc, ret="GM1.AV120", stdev="GM1.SD120")) mrets <- merge(mrets, IYC.SR=apply(mrets, 1, MyFunc, ret="IYC.AV120",

Hello everyone I need to extract a vector of (t-3) to (t+3) dates, only working days. How can I do that? For today I need a vector: 10.08.210 09.08.2010 06.08.2010 05.08.2010 04.08.2010 03.08.2010 02.08.2010 Regards, Sergey -- Kniven sk?rpes bara mot stenen.

Hello, everyone F# is now public. Compiled code should run? faster than R. Anyone has opinion on F# vs. R? Just curious Best, S -- ------- Kniven sk?rpes bara mot stenen.

Hello, I have an Excel file on a drive and I extract data from it into R session. Once I have extracted the data, I want to delete that Excel file from the drive. Can I do that from within R, please? Thank you for help! Regards, Sergey

Hello, everyone I have a question. Assume I have the following zoo object: me.la <- structure(c(1524.75, 1554.5, 1532.25, 1587.5, 1575.25, 1535.5, 1550, 1493.5, 1492.5, 1472.25, 1457.5, 1442.75, 1399, 1535.75, 1565.25, 1543.5, 1598.5, 1586.5, 1547, 1561.5, 1504.75, 1503.75, 1483.75, 1468.75, 1453.75, 1410, 1546.75, 1575.25, 1554, 1609, 1597.5, 1558.5, 1573, 1516.25, 1515.5, 1495, 1480, 1465,

Hello, fellow R-users. Let me describe the setup first. I have a data.frame, a sample of which is reported below: Company.Name Periods Returns MFR.Factor 350 Wartsila Oyj A 1996-07-31 6.82 0.02 351 Custodia Holding AG 1996-07-31 4.15 -0.02 352 Wartsila Oyj 1996-07-31 7.73 0.09 353 GEA Group AG

Dear members of R forum, Say I have a list: L <- list(1:3, 1:3, 1:3) that I want to turn into a matrix. I wonder why if I do: do.call(cbind, L) I get the matrix I want, but if I do cbind(L) I get something different from what I want. Why is that? How does do.call() actually work? I've read in do.call() help file this sentence: "The behavior of some functions, such as

Dear R users, I hope to explain the concepts of skewness and kurtosis by generating series of distributions with same skewness and different kurtosis or with same kurtosis and different skewness, but it seems that i cannot find the right functions. I have searched the mailing list, but no answers were found. Is it possible to do that in R? Which function could be used? Thanks a lot. --

I wonder whether the functions for skewness and kurtosis in the e1071 package are based on correct formulas. The functions in the package e1071 are: # -------------------------------------------- skewness <- function (x, na.rm = FALSE) { if (na.rm) x <- x[!is.na(x)] sum((x - mean(x))^3)/(length(x) * sd(x)^3) } # -------------------------------------------- and #

Hello, everybody Two questions: 1) I am new to maillists, and particularly to r-help maillist. Where specifically do I go online to see my question and answers to it??? If I use the searchable archives, or archives by Robert King, I see my question but not the answers, though I know that at least one persion posted the answer to r-help. Why do not I see the answers? 2) I need to produce 104

Hi, in which R-package I could find skewness and kurtosis measures for a distribution? I built some functions: gamma1<-function(x) { m=mean(x) n=length(x) s=sqrt(var(x)) m3=sum((x-m)^3)/n g1=m3/(s^3) return(g1) } skewness<-function(x) { m=mean(x) me=median(x) s=sqrt(var(x)) sk=(m-me)/s return(sk) } bowley<-function(x) { q<-as.vector(quantile(x,prob=c(.25,.50,.75)))

Hello I do not know very much about statistics (and English language too :-( ), then I come in search of a clarification (explanation): I found two distinct results on KURTOSIS and I do not know which of them is the correct one. Any aid will be welcome! klebyn ################ CODE rnorm(1000) -> x library(moments) kurtosis(x) skewness(x) detach("package:moments")

Greetings Everybody: I generated a 1.2MB dta file based on the general social survey with Stata8 for linux. The file can be re-opened with Stata, but when I bring it into R, it says all the values are missing for most of the variables. This dataset is called "morgen.dta" and I dropped a copy online in case you are interested http://www.ku.edu/~pauljohn/R/morgen.dta looks like this

Hello, everyone! Assume you have this data: data <- structure(c(66.609375, 67.09375, 66.40625, 66.734375, 67.109375, 66.875, 66.09375, 65.921875, 66.546875, 66.140625, 66.140625, 65.65625, 65.875, 65.59375, 65.515625, 66.09375, 66.015625, 66.140625, 66.109375, 66.421875, 1702.7, 1647.7, 1649.4, 1639.9, 1696.4, 1710.9, 1690.2, 1677.9, 1694.4, 1713.9, 1713.9, 1705.4, 1708.4, 1692.9, 1689.6,

hello R, This is about simulation in psychomtrics in IRT in R. I want to simulate b parameters(item difficulty) with moments of fixed values of mean, st.d, skewness and kurtosis. Is there any specific IRT package in R with those functions to control those moments? I have seen other programs that can control mean and st.d but not skewness and kurtosis. Thank you, helen L [[alternative HTML

Hello, everybody Say I have nm1 <- c(rep(1,10), rep(0,10)) then I can do: diff(nm1) to see where I have shift in value but what if I have nm2 <- c(rep("SPZ8", 10), rep("SPX9", 10)) how can I produce the same ouput as diff(nm1) does, that is zeros everywhere except for one place where SPZ8 changes to SPX9 (there should be 1 there)? What if I have a matrix of characters

Hello, fellow Rdicts, I have the code for the program below. I need to integrate a function of "x" and "p". I use integrate to integrate over "x" and pass "p" as an additional argument. "p" is specified and given default value in the argument list. Still, integrate() cannot read "p", unless I explicitly insert a numeric value in the