search for: wwreith

...86-pc-mingw32/i386 platform under Windows XP. I perform daily update of my installed packages. I've got the most recent Java for this platform installed, as I am told by the JavaUpdater when checking. (and I've read the posting guide, so that I'm not going to get fired by Uwe as poor wwreith [joke])... But : since one of the last daily updates (cannot tell exactly when because I spent some days without calling library(rJava), I get this error message (translated from french for the first part, in english for the second) : > Error : .onLoad failed in loadNamespace() for 'rJav...

library(xlsReadWrite) mydata<-read.xls("file path", header=TRUE) however if I change xls to csv it works just fine. Any ideas what I'm doing wrong? I have have also using the package gdata with the exact same error. Below is the error that pops up. Error in findPerl(verbose = verbose) : perl executable not found. Use perl= argument to specify the correct path. Error in

I am just starting to experiment with writing a function and have run into what seems like a limitation or more likely a lack of understanding on my part. Very Simple Example: I want to define a function that does 1+1=2. z<-1 ADD<-function(x) { x<-x+1 } ADD(z) z output for z is 1 not the expected 2. Now if I were to do print(x+1) instead of x<-x+1 it does return 2, so the

General problem: I have 20 projects that can be invested in and I need to decide which combinations meet a certain set of standards. The total possible combinations comes out to 2^20. However I know for a fact that the number of projects must be greater than 5 and less than 13. So far the the code below is the best I can come up with for iteratively creating a set to check against my set of

I have several thousand rows of shipment data imported into R as a data frame, with two columns of particular interest, col 1 is the entry date, and col 2 is the tracking number (colname is REQ.NR). Tracking numbers should be unique but on occassion aren't because they get entered more than once. This creates two or more rows of with the same tracking number but different dates. I wrote a for

I wish to create a matrix of all possible percentages with two decimal place percision. I then want each row to sum to 100%. I started with the code below with the intent to then subset the data based on the row sum. This works great for 2 or 3 columns, but if I try 4 or more columns the number of rows become to large. I would like to find a way to break it down into some kind of for loop, so

I have columns of data in Excel 2007, A2:A196, B2:B196...ET2:ET196 that I would like to place into arrays in R. I have been trying to write a macro that would automatically create all of my arrays for me with a array names coming from the cells A1, B1, etc. I can manually create an array using RExcel<Put R Var< Array, but I don't want to manually create all 150 arrays this way. Thanks

Does anyone know how to create a 3D Bargraph using ggplot2/qplot. I don't mean 3D as in x,y,z coordinates. Just a 2D bar graph with a 3D shaped bard. See attached excel file for an example. Before anyone asks I know that 3D looking bars don't add anything except "prettiness". http://r.789695.n4.nabble.com/file/n3713305/Example.xlsx Example.xlsx -- View this message in

I am just learning to use qplot and can't get the fill/colour to work. Below is the R code for a scatter plot and bar graph. library(ggplot2) x<-c(1,2,3,4,5,6,7) y<-c(1,2,3,2,5,6,3) qplot(x,y, main="Scatter Plot Test", xlab="X Label Test", ylab="Y Label Test", colour="blue")z<-c("van", "van", "van",

I have 4 columns and 56 rows of made up data that I want to plot as a series of bar graphs. The idea is to create one bar graph for each of the 4 columns using a for loop. I tried the following command in RStudio and when I type x in the console I get just the 4th graph instead of all four graphs. I did not define what x is before hand. I was not sure what it would be. Any suggestions on how you

Can someone verify for me if the for loop below is really calculating the nonzero min for each row of a matrix? I have a bug somewhere in the is section of code. My first guess is how I am find the the nonzero min of each row of my matrix. The overall idea is to make sure I am investing all of my money, i.e. new.set is a set of indicator variables for each stock for a particular portfolio, i.e.

I took some data from an online poll about which R GUI people used most and I am messing around with it to learn how to use qplot. Specifically I am making a horizontal bar graph and I have two questions. 1. The categories are ordered in rather strange way at least to me. It is not alphabetical or ascending/descending order of votes cast so i had to manually state the order I wanted which is

I am conducting an experiment with four independent variables each of which has three or more factor levels. The sample size is quite large i.e. several thousand. The dependent variable data does not pass a normality test but "visually" looks close to normal so is there a way to compute the affect this would have on the p-value for ANOVA or is there a way to perform an nonparametric test

Am I correct in assuming that the output below essentially translates to "Males have a mean time that is significantly lower than Females"? Is this the correct way to interpret the fact that the coefficient is negative? Assume the variale sex is treated as a factor with Female =0 and Male=1. survmodel<-survreg(survobj~sex,data=data1, dist="weibull")

...(FALSE, num) > comb <- combn(num, j) > res[[i]] <- t(apply(comb, 2, function(x) !is.na > (match(1:num, x)))) > } > do.call(rbind, res) > } > > all.combs(20, 5, 13) > > Jean > > > wwreith <reith_william@bah.com> wrote on 07/20/2012 07:45:30 AM: > > > General problem: I have 20 projects that can be invested in and I need to > > decide which combinations meet a certain set of standards. The total > > possible combinations comes out to 2^20. However I know...

I am learning ggplot2 commands and I have figured out how to create histograms and density curves but I am not sure how to add a density curve on top of a histogram. Here are the two graphs that I created. ## Histogram t<-rnorm(500) w<-qplot(t, main="Normal Random Sample", fill=I("blue"), colour=I("black"), geom="histogram") w ##Density Curve

General goal: Write R code to find the inverse matrix of an nxn positive definite symmetric matrix. Use solve() to verify your code works. Started with a 3x3 matrix example to build the code, but something dosen't seem to be working. I just don't know where I am going wrong. ##Example matrix I found online A<-c(4,1,-1,1,2,1,-1,1,2) m<-matrix(A,nrow=3,ncol=3) ##Caculate the eigen

Any ideas of what is happening when I attempt to load XLConnect? I think I installed everything correctly. I posted what I get when I installed rJava as well as when I attempted to load rJava directly. Thanks in advance for any help you can give on this. library(XLConnect) Loading required package: XLConnectJars Loading required package: rJava Error : .onLoad failed in loadNamespace() for

I just finished a MANOVA test and got the following output: > summary(M, test="Pillai") Df Pillai approx F num Df den Df Pr(>F) as.factor(X) 3 1.1922 6.5948 36 360 < 2.2e-16 *** Residuals 129 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' '

I am learning ggplot2 commands specifically qplot for the time being and I have figured out how to create histograms and normal density curves but I am not sure how to add a normal bell curve or other dist. as well on top of a histogram. Here are the two graphs that I created. ## Histogram t<-rnorm(500) w<-qplot(t, main="Normal Random Sample", fill=I("blue"),