similar to: Displaying a distribution -- was: Combining two histograms

Hello all, I am running a simple path analysis with the function sem.mi (of semTools) after doing multiple imputation in my (missing) data. However, depending on the option to combine the chi-square, I get the following warning messages: Warning messages: 1: In estimateVCOV(lavaanModel, samplestats = lavaanSampleStats, ... : lavaan WARNING: could not compute standard errors! 2: In

I have data like: a <- rnorm(20000) b <- rep(FALSE,20000) b[sample(1:20000,15000)] <- TRUE Using Lattice graphics, I can produce two side-by-side histograms quite easily by: histogram(a | b) However, I would like to produce a "single" histogram with two bars within each bin, one for each group, as the groups are in reality very slightly different from each other. The

Dear Friend, We are a Chennai ( INDIA ) based IT Recruitment Consultant. Our client in Bangalore requires FreeBSD UNIX System Administrator (No of Positions: 21). Skill set Proficiency - Must have over 5 years of Unix / Linux/ NT administration experience - Knowledge of FreeBSD specifics would be an added advantage - Must have strong experience with kernel internals, Apache and Tomcat

Hi, Apology for this question being off the topic (OT) of R, though I expect this list might be the best place on the net to ask this question. In brief, the question is: what classification algorithm can one use if the features are histograms? I have a classification problem, and believe that histograms of the distribution of some values may be the best "feature" to use. To

Hi R-helpers, I wish to produce frequency histograms of all of the variables in my dataframe (except some identifying variables). I have tried >hist(dataframe[,3:20]) to produce histograms of the 3rd through 20th variables in my dataframe, but R doesn't like that. Could anyone provide a suggestion? Also, once I produce the histograms, I'd like to save them as graphic files on my

Hallo everyone, I want to evaluate the change of the distribution for several size classes. How can i order these separate histograms with the same y-axis along a common x-axis according to their size classes. It would like it to look a bit like this (http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=109) without the quantile regression. I can produce the separate histograms, but have

Hello All, I have a couple of stacked histograms which I need to compare/evaluate for similarity or difference. http://r.789695.n4.nabble.com/file/n4635668/Selection_011.png I believe rather than evaluating histograms is will be east to work with dataset used to plot these stacked histograms, which is in format: RED PURPLE BLUE GREY

Hi, I have a simple problem that I would appreciate getting some tips. I am using the "truehist" function within an "apply" call to plot multiple histograms. I can't figure out how to get truehist to use the column names of the matrix as the labels for the x-axis of the histograms. Here is a simple example: X <- matrix(runif(4000),ncol=4) colnames(X)

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,

Hi List, Using Lattice, I have created a plot of histograms showing Fork Length by Year. The plot shows the histograms in 3 columns and 5 rows. Using the as.table=T function I can get the years to start on top. However, what I would like to do is have the first year start in the top left (column 1, row 1; as it is now) and add the subsequent histograms to the plot going down the column and then

Dear all Problem: hist()-function, scale = ?percent? I want to generate histograms for changing underlying data. In order to make them comparable, I want to fix the y-axis (vertical-axis) to, e.g., 0%, 10%, 20%, 30% as well as to fix the spaces, too. So the y-axis in each histogram should be identical. Currently, I have 100 histograms and the y-axis scales changes in each. Here is my code:

> > Leaf Sun wrote: > > The histogram is highly screwed to the right, say, the range > > of the vector is [0, 2], but 95% of the value is squeezed in > > the interval (0.01, 0.2). I guess the histogram is as you wrote. See http://web.maths.unsw.edu.au/~tduong/seminars/intro2kde/ for a short explanation. > -----Original Message----- > From: Berton Gunter

Hi - I'm trying to append simple density histograms of a continuous variable to the leaves of an rpart tree. The splits in the tree are all levels of a factor and I'm hoping to make the histograms out of the subsets of the dataframe corresponding to the splits and for them to be attached to the appropriate leaf of the final tree. Any help would be much appreciated, thanks, Jon Zelner

I want to superimpose histograms from three populations onto the same graph, changing the shading of the bars for each population. After consulting the help files and the archives I cannot find out how to do this (seemly) simple graph. To be clear, I want - a single x axis (from -3 to 18) - three groups of bars forming the histograms of each population (they will not overlap much, but this is

Hi list I need some help for drawing some histograms I have a dataframe , say, X Y Z T I want to draw a histogram Z-T for each value of the couple (X-Y). When I use thus syntax > library(lattice) > histogram(law[,3] ~ law[,66] | law[,1] ) it draws multiple histograms but by selecting distinct values of law[,1] The deal is to make the same thing but for a couple of columns Thanks in

Hi, I have two histograms created separately using the following code. It creates two separate figures. dat <- read.table(file="GDS1096.modelout", head = FALSE ) __BEGIN__ dat <- read.table(file="GDS1096.modelout", head = FALSE ) hist(dat$V2, main="AIC Freq", xlab = "\# Component", breaks = 36, xlim = c(0,max(dat$V2)), col = "dark red",

On Sun, January 24, 2016 11:45, Peter Duffy wrote: > > Trouble is that when you go from 6 to 7, you also have the delights of > systemd and grub 2 to contend with. > . . . > Similarly with others who have commented, I simply cannot > understand why the maintainers of crucial components in > linux have this thing about making vast changes which impact > (usually adversely)

# testthat Testing your code is normally painful and boring. `testthat` tries to make testing as fun as possible, so that you get a visceral satisfaction from writing tests. Testing should be fun, not a drag, so you do it all the time. To make that happen, `testthat`: * Provides functions that make it easy to describe what you expect a function to do, including catching errors, warnings and

# testthat Testing your code is normally painful and boring. `testthat` tries to make testing as fun as possible, so that you get a visceral satisfaction from writing tests. Testing should be fun, not a drag, so you do it all the time. To make that happen, `testthat`: * Provides functions that make it easy to describe what you expect a function to do, including catching errors, warnings and

this is the command i made for a normal distribution, but when i try to plot the histograms, i dont know why the bars don't stick on the line... nsamples<-1000 sampsize<-15 Samples<-matrix(rnorm(nsamples*sampsize,0,1),nrow=nsamples) a<-apply(Samples,1,var) NC14<-a*14 x<-0:40 plot(x,dchisq(x,14),type='h') hist(NC14,freq=F,add=T) -- View this message in context: