similar to: help: creating a unified histogram

Hello, I'm new to R, and have a problem related to spss integration with R (but is actually related to the R installation): I have windows 8, 64bit, and installed R 2.14.2, and then the R plug in for spss (spss version 21). When I tried to run somthing in spss, I got the following error messgae: Error in loadNamespace(i, c(lib.loc, .libPaths())) : there is no package called

This message also reports wrong estimates produced by lmRob.fit.compute() for nested factors when using the correct contrast matrix. And in these respects, I have found that S-Plus behaves the same way as R. Using the three available contrast types (sum, treatment, helmert) with lm() or lm.fit(), but just contr.sum with rlm() and lmRob(), and small examples, I generated contrast matrices for

Dear All, I would like to be able to plot histograms/densities on a semi-log or log-log scale. I found several suggestions online http://tolstoy.newcastle.edu.au/R/help/05/09/12044.html https://stat.ethz.ch/pipermail/r-help/2002-June/022295.html http://www.harding.edu/fmccown/R/#histograms Now, consider the code snippet taken from http://www.harding.edu/fmccown/R/#histograms # Get a random

Hello again folks, Thanks to all for the advice on getting hold of "grid" and "lattice". I think I'm getting the hang of it. This produces very satisfying arrays of histograms. The typical command I am using is histogram( ~ DATA.df$X | DATA.df$F, \ type=c("count"), layout=c(5,5) ) Now I'd like to ask a question slightly more subtle than

Dear R- list, I have some data to present with histograms. Therefore I used hist(...). I have few values with almost 80% of the frequencies (totaly 800) and some other values with low frequencies ( totaly 5 -10 ) that I want to emphasize. Therefore I want to "cut" the y-axis on 100, but I don't know how to deal with this. Thanks in advance, Michael Graber

Hello, This is not exactly an R question, but I suspect that there is an R procedure that does what I am calling (for lack of a better name) "histogram ranking". I'm trying to evaluate a set of regression features by segregating by target class and comparing the feature histograms. My idea is that if the histograms are the same for two different classes then there is no

I'm trying to add the exact value on top of each column of an Histogram, i have been trying with the text function but it doesn't work. The problem is that the program it self decides the exact value to give to each column, and ther is not like in a bar-plot that I know exactly which values are been plotting. If anyone have any new idea on how to do this Thanks Matias -- View this

I have a vector x: table(x) 2 3 4 5 6 7 8 9 10 11 12 13 14 45547 11835 4692 2241 1386 820 593 425 298 239 176 158 115 15 16 17 18 19 20 21 22 23 24 25 26 27 94 88 76 67 47 46 40 20 30 22 20 33 14 28 29 30 31 32 33 34 35 36

Dear Dr. Sarkar, When I try to run the codes, I found the following problem: > h<- sample(1:14, 319, rep=T) > c<- sample(1:14, 608, rep=T) > n<- sample(1:14, 1140, rep=T) > vt<-c(h, c, n) > ta<-rep(c("h", "c", "n"), c(319, 608, 1140)) > > to<-data.frame(vt,ta) > library(lattice) Attaching package: 'lattice'

Full_Name: Gerald Guglielmo Version: 2.8.1 (2008-12-22) OS: OSX Leopard Submission from: (NULL) (131.225.103.35) When I attempt to use the hist() function to bin integers the behavior seems very odd as the bin boundary seems inconsistent across the various bins. For some bins the upper boundary includes the next integer value, while in others it does not. If I add 0.1 to every value, then the

Hello, all; I get an unexpected result when trying to plot a probability histogram with R1.9.1 on windows xp: #with the following code: > x <- runif(100,0,1) > hist(x) > hist(x, freq=F) > h <- hist(x, freq=F) > summary(h) # Length Class Mode #breaks 11 -none- numeric #counts 10 -none- numeric #intensities 10 -none- numeric #density 10

Dear all, The other day I was reading this post [1] that slightly surprised me: "To reject the null of no correlation, an hypothsis test based on the normal distribution. If normality is not the base assumption your working from then p-values, significance tests and conf. intervals dont mean much (the value of the coefficient is not reliable) " (BOB SAMOHYL). To me this implied that in

Hi, I am searching for a possibility to display a logarithimic y-axis in a histogram. With plot that's easy (e.g. plot(1:10, log="y") but for histograms this does not work the same way: I tried hist(rnorm(1000), freq=FALSE, seq(-4, 4, .5), ylim=c(0.001, 0.5), log="y") Which gives the expected histogram but also warnings for my log="y" command

Hi list, this is my second try for first post on this list (I tried to post via email and nothing appeared in my email-inbox, so now I try to use the nabble-web-interface) - I hope that you will only have to read one post in your inbox! Okay, my question ... I was able to plot a histogram and add the density()-line to this plot. I was able to plot a cumulative form of this histogram. Yet, I was

I wrote some code to do this. It only works with 2 groups (that's all I needed), but could probably be generalized. It got my graph made, and I haven't needed a graph like this one again, so I never went back to really clean it up. It works by first plotting both sets of rectangles, then going back over the ones that had the first bar totally covered by the second. Hope this helps,

I've looked long and hard for this, but maybe I am missing something... There is a nice module that displays histograms reflected in the y axis, i.e. http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=136 but is it possible to reflect in the x-axis, so to have two datasets, one pointing up and one down rather than left and right? I haven't been able to find a way to plot this

All, I have been trying to get calls to hist(...) to be plotted with the y-axis having a log scale. I have tried: par(ylog=TRUE) I have also looked at the histogram package. Suggestions welcome. -- Derek M. Jones tel: +44 (0) 1252 520 667 Knowledge Software Ltd mailto:derek at knosof.co.uk Source code analysis http://www.knosof.co.uk

Hi, I have a large amount of data that I would like to create a histogram of and plot and do things with in R. It is pretty much impossible to read the data into R, so I have written a program to bin the data and now have a list of counts in each bin. Is it possible to somehow import this into R and use hist(), so I can, for instance, plot the probability density? I have looked at the help page

Estimada comunidad, tengo el siguiente problema: Un data.frame con muchas filas de las que debo eliminar aquellas que cumplen varios criterios al mismo tiempo. Por ejemplo este data.frame: sol con dia NCar NIns isom area rep tipo 1 con 0.001 1 160s 0 s 6.083543e-01 1 2 con 0.001 1 161c 1 c 1.391274e-03 1 <NA> 3 con 0.001 1 161c 1 c

Hi there, sorry for troubling everybody once again, I've got a problem rewriting Sarkar's function for rewriting the tick locations in a logaritmic way (s. http://lmdvr.r-forge.r-project.org/code/Chapter08.R): His example works for log 2 but I need log e (natural logarithm). My problem is that if I replace 2 with "e" (using paste()), I get the error message that the location