similar to: Loop removal?

Hello all, I have a peculiar and particular bug that I stumbled across with ggplot2. I cannot seem to replicate it with anything other than my specific data set. Here is the problem: - when I try to plot a histogram, allowing for ggplot2 to decide the binwidths itself, I get the following error: - stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to

Dear all, I want to use the histogtam as a density estimator, with the binwidths calculated using scott's formula which is binwidth = 3.49*ST.dev.*n^(-1/3) for the following data  (30 data points) 12-9-3-6-1-23-21-7-18-16-15-4-19-22-20-2-3-18-8-10-1-7-5-4-11-12-3-9-19-7 so first,I' ve tried this manually, and substituted in the above formula and I got st.dev.=7.02745 and thus the

Dear list I am having a couple of problems with the package 'bindata'. Having installed it using install.packages("bindata"), I am finding that when I load it up as a library I get the following errors: > library(bindata) Loading required package: e1071 Loading required package: mvtnorm Warning messages: 1: There is no package called `e1071' in: library(package, char

Hi list, After a lot of tweaking i have managed to create a histogram with an overlaying density plot. The histogram shows a sample of birth weights of babies and the density plot shows birth weights from a much larger reference populaton. My data is divided in 0.1 Kg bins so in the code below binweigh=0.1. The trouble with the current graph is that it is not very clear since the density plot

Hi, Here are three plots: library(ggplot2) data(diamonds) randind <- sample(nrow(diamonds),1000,replace=FALSE) dsmall <- diamonds[randind,] qplot(carat, data=dsmall, geom="histogram",binwidth=1) qplot(carat, data=dsmall, geom="histogram",binwidth=.1) qplot(carat, data=dsmall, geom="histogram",binwidth=.01) What are ways to put these three plots on a single

Hello, I am doing a simple linear regression analysis that includes few variables. I am using a bootstrap analysis to obtain the variation of my variables to replacement. I am trying to obtain the coefficients 95% confidence interval from the bootstrap procedure. Here is my script for the bootstrap: N = length (data_Pb[,1]) B = 10000 stor.r2 = rep(0,B) stor.r2 = rep(0,B) stor.inter =

Hi, When I upgraded my cluster, df started returning some odd numbers for my legacy volumes. Newly created volumes after the upgrade, df works just fine. I have been researching since Monday and have not found any reference to this symptom. "vm-images" is the old legacy volume, "test" is the new one. [root at st-srv-03 ~]# (df -h|grep bricks;ssh st-srv-02 'df -h|grep

Chris Lattner wrote: > > This looks like you're compiling llvm-gcc3, which is quite dead by now. > Please follow these instructions: > http://llvm.org/docs/CFEBuildInstrs.html > > Oups, sorry for that. Here is the error message with the latest svn version: gcc -c -g -O2 -DIN_GCC -W -Wall -Wwrite-strings -Wstrict-prototypes -Wmissing-prototypes -pedantic

OK, seems like there were unused TARGET_MACHO macros that would protect these errors from happening. I made some modifications that add #if TARGET_MACHO. Now the error is a linkage problem: /home/varth/project/llvm-cvs/llvm-gcc4/obj/gcc/xgcc: symbol lookup error: /home/varth/project/llvm-cvs/llvm-gcc4/obj/gcc/libgcc_s.so.1: undefined symbol: __thenan_sf And even if I force the definition of

On Tue, 22 May 2007, Nicolas Geoffray wrote: > OK, seems like there were unused TARGET_MACHO macros that would protect > these errors from happening. I made some modifications that add #if > TARGET_MACHO. ok. If you send a patch in that adds these, I would be happy to apply it. > Now the error is a linkage problem: > > /home/varth/project/llvm-cvs/llvm-gcc4/obj/gcc/xgcc:

Hi, I have a set of observations which are divided into two sets A and B. I have some code that bins the dataset into 10 bins based on the max and min of the observed values. I would like to make a histogram of A & B using my calculated bins but plot the distribution of B on top of A (like a stacked barplot). This is possible since both sets A & B are binned using the same bin ranges.

Dear All, I am looking for an R function or any other reference to generate a series of correlated Binomial (not a Bernoulli) data. The "bindata" library can do this for the binary not the binomial case. Thank you, Bernard --------------------------------- [[alternative HTML version deleted]]

Hi. I am trying to generate a correlated binary data set. I've tried to use mvtBinaryEP, binarySimCLF, and bindata packages but none of them works in R version 2.15.1. Do you know any package to generate correlated binary covariates and work in R version 2.15.1, or how to generate it? Thanks, [[alternative HTML version deleted]]

HI, I'm trying to have files to be included during rsync. I have the filesystem /stor/circuit_design/, with the following subdirectories as its contents: clock_speed fub_layout test_simulations pattern_flow I would only like to rsync the following 2 subdirectories to the destination machine: clock_speed fub_layout and they're contained in the file called files_included: # cat

Hi all, Running into a problem with my gluster here in a LAB env. Production is a slightly different build(distributed replicated with multiple arbiter bricks) and I don't see the same errors...yet. I only seem to have this problem on 2 client vm's that I ran "setfattr -n trusted.io-stats-dump -v output_file_id mount_point" on while trying to test for latency issues. Curious

Hola a todos Me gustaría saber si me pueden ayudar con lo siguiente. Realicé un Boxplot usando ggplot2 para visualizar el comportamiento de dos variables. Visualmente no se notan las diferencias porque la gráfica de la derecha (parásitos en el abdomen) llega hasta 20 en el eje y. ¿Cómo puedo hacer para que las dos gráficas muestren la misma escala en el eje Y, es decir, que las dos lleguen a 60?

It appears I broke ggplot in my script, but that maybe it is because the caffeine has worn off or maybe it is late in the day.   I thought I was beginning to understand ggplot, but I have encountered a silly little issue.   For some reason the following does not produce a histogram with fill due to the Person's characteristics: (Note that VADeaths_flat_df$Data works fine...)    

Hallo I am not familiar with any of packages you use (except of MASS and ggplot2) and the code is too complicated without any hint where the error could come from and what is the message you get. I wonder if anybody would like to go through your whole code. 1. data seems to be read correctly ICUData <- read.csv(file = "ICUData.csv", stringsAsFactors = TRUE) ICUData.neuro <-

Hello My dataset is as follows: jobno recruits 1100 18 1200 1 1850 5 2100 190 2789 25 3000 1 . . . . the dataset has 130 rows I want to plot barplot from left side and cumulative curve from right side in one graph itself using layers in ggplot2. I sorted the recruits 1st in decreasing order

I'm trying to overlay two histograms using transparency to enable viewing of multiple distributions on a single scale. So far ggplot2 seems to do what I want. However I'm having a problem generating the legend coloring appropriate to each distribution in the plot. Here is a test case to show my best (failed) effort so far: library(ggplot2) x <- data.frame(X=rnorm(1000, mean=0)) y