similar to: Extracting numerical vectors from an array - use of multhist (plotrix)

Dear R community members, I think I am asking a very simple question, but I really looked up in the faqs and manuals and found nothing helpful. I am trying to plot a data frame with the following structure (this is just a small extract): glo conc odor line series X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 1 0 AIR LN1 UP -0.488

Hi, I found some weird behavior of the function multhist in the plotrix package and I would like to ask you about it: so, it works well to put two histograms next to each other, but I don't understand the breaks… so for example, library(plotrix) mh <- list(rnorm(200, mean=100, sd=10), rnorm(200, mean=100, sd=10)) multhist(mh) #produces a plot with

Hi, I'm plotting a multiple histogram using the function multhist {package plotrix}, something like: library(plotrix) mh <- list(rnorm(200, mean=200, sd=50), rnorm(200, mean=250, sd=50)) multhist(mh) In this graph y-axis represents the frequency of observations.... but I would like it to be scaled into relative frequencies, does anybody know how to do this with multhist or similar

I am creating a side-by-side histogram using "multhist" of PLOTRIX. However, I can't seem to control the X-axis. It yields the following X points in the axis: 1 3 5 7 9 13 17 21 25 29 33 with uneven spacing between x-ticks (see attached file). Especially I want to create a bar for every x-axis (1,2,3,4...36), now not every x-axis has a bar. Is there a way to alter my following

Hi All, I am in the annoying position of having to present some data to someone who seems to be somewhat less than numerate. I need to label the y-axes of a multhist with the y-axis labeled not as counts but as percentage of a population. Plotting the standard histogram is in a way fine, all I need is to: -- have a left-handside y-axis labels for pop 1 and a right-handside y-axis labels for pop2

Thanks in advance for any suggestions: I am using the 'multhist' function in the 'plotrix' package to display histograms of some variable 'x' given some value of another variable 'z' -- for example, separate histograms for some variable according to sex (or another dichotomous) variable. Thus I am using something like the following:

I have lots of data that needs to be viewed as a histogram, and I've found the multhist package to work quite nicely--for the most part. The only problem is that I can't figure out a way to get the x-axis to make any logical sense. I have a data set with exactly 26 different values, but when I try and plot it with multhist, There are tick marks at 0.5, 3.5...26. When I enlarge

Hello R Users, I have two sets of values x <- c(7, 7 , 8, 9, 15, 17, 18) y <- c(7, 8, 9, 15, 17, 19, 20, 20, 25, 23, 22) I am able to create multi histogram using multhist(). But not able to control the 'xlim'. ie the xaxis is showing 7.5, 13, 18, 23 1st on what basis it is calculated 2nd I want it to be like 7 8 9 15 17 and so on Can any one help me With Regards Subhabrata

Hi all, Please consider the following code: require(plotrix) l <- list(rnorm(50),rnorm(50,sd=2),rnorm(50,mean=3)) multhist(l) I have two things I need help with: (1) In the output, there are empty spaces on the x-axis. How would I eliminate these spaces? I want a nice, smooth, empty-spaceless x-axis. (2) How could I add tracing lines to each histogram? I am undoubtedly using the wrong

i am working with two sets of likert scale type (4 distinct values) data: dataA <- rep(1:4, c(3,2,2,4)) dataB <- rep(1:4, c(5,4,3,2)) i can now (bar)plot both of these separately and compare the distributions. plot(table(dataA), type='h') plot(table(dataB), type='h') is there a way to plot both of them in one plot, so that the bars for value "1" (dataA: 3,

Hi all, I'd be greatful for any assistance with these two problem I'm facing: 1. How can I combine weighted.hist() and multhist() from the plotrix library so that I can display two weighted histograms on the same chart ? (if anyone is familiar with a different library or function that already does that, that would be great to know as well ) 2. How can I display weighted histograms or

I would like to plot two data sets (frequency (y-axis) of mean values for 0-1(x=axis)) on a single histogram for comparison. The hist() only allow the overlay of two histograms, and although barplot() allows beside=TRUE, it does not show frequency values (like hist) but rather all of the values. Is there any way that I can use the hist() to plot two data sets similar to the barplot(). Any help or

Dear Contributors: I have two vectors x and z, and I want to display the histograms of both vectors in the same graph, x in red bars, z in blue bars. If you have any clue on how to do that, I will be very glad to hear it!!!!!! Thanks in advance again, Juan Pablo Fededa [[alternative HTML version deleted]]

Hello friends, I come to ask for a hand. I have an AD server with Samba 4.1 and added a Member Server 4.4 without problems. The only problem I'm having is that the UID of users in the Member Server are different from the AD server. Ad Server KENNEDY\florenciaelmone:*:3000679:100:Florencia Elmone Domingues:/home/KENNEDY/florenciaelmone:/bin/false Member Server

Hi, Is it possible to create Rose Diagrams of wind data (speed & direction) with R?? Best regards, Lars Peters ----- Lars Peters University of Konstanz Limnological Institute D-78457 Konstanz Germany phone: +49 (0)7531 88-2930 fax: +49 (0)7531 88-3533 e-mail: Lars.Peters@Uni-Konstanz.de web: Lars Peters <http://www.uni-konstanz.de/sfb454/tp_eng/A1/doc/peters/peters.html>

Hello, I've got a big problem. I'm using R for geostatistical analyses, especially the field-package. I try to generate plots after the kriging process with help of image.plot(..., col=terrain.colors, ...). Everything works fine, but I want to reverse the color-palettes (heat.colors, topo.colors or gray()) to get darkest colors at highest data-values instead the other way round. Could

Dear all, I've got a big problem. I try to analyse my data using R with a mixed model ANOVA without useful results and success. My data are as follows: 3 factors (Treatment, Site, Subsite) with 'Subsite' as random factor and nested into 'Site'. I want to analyse the effects of the three main effects (factorial design to a specified degrees (2)) with the interactions between

Without UID and / or GID configured into AD database (into LDAP tree) Samba would give UID / GID to users and groups when needed, and as nothing is written, Samba has to guess. This guessing process is called id mapping. Samba does not synchronize generated file containing this ID map. No synchronization and xID random xID fathers to xID inconsistency. This is not necessarily an issue: with only

Hi, I got a computational problem with lme (nlme library R 1.9.1) using corSymm(). Here is the data: [,1] [,2] [,3] [,4] [,5] [,6] [1,] 0.19639793 0.09127954 0.11733288 0.07598273 0.06545106 0.06211532 [2,] 0.22773467 0.10981912 0.16052847 0.38101187 0.18353474 0.24072918 [3,] 0.46743388 0.45733836 0.32191178 0.43356107 0.39159746 0.53984221 [4,]

I forgot to mention that the problem has nothing to do with the kernel being tainted (due to VMware server). I installed VMware server after being faced with the crashes, to give the Java user a "sandbox" which s/he could crash without taking down the real server. Only then I discovered that VMware server has a memory limitation to 3600MB (I guess because it's not a 64bit