search for: rootograms

Using R-2.12.1 and latticeExtra-0.6-14, I would like to understand why a rootogram displaying samples from the Poisson distribution looks like I expected it, whereas a rootogram using the normal distribution does not: library(latticeExtra) rootogram(~rpois(1000, lambda = 50), dfun = function(x) dpois(x, lambda = 50)) rootogram(~rnorm(1000), dfun = function(x) dnorm(x,mean(x),sd(x))) I

Talking about Excel, you can produce excellent graphs in Excel. Yes you have to work at it, but you can get there. The problem is that they are not the default. My gut feeling is that R will make more of an impact in the presentation of graphics than any implementation in Excel. So even if a patent were granted and it made itself into a mainstream package, would it change the world or would the

if i want to plot the chi-square distribution with a different degree of freedom how can i plot it in the graph?Sometimes i plot the histogram and cut it in a lot of piece.It's distribution like a chi-square.So i want to plot the chi-square with a different degree of freedom to compare it . -- View this message in context:

...bars tend to vanish for very large samples. > > The normal distribution is a continuous distribution, i.e., the frequency > for each observed value will essentially be 1/n and not converge to the > density function. Hence, you would need to look at histogram or smoothed > densities. Rootograms, on the other hand, are intended for discrete > distributions. > Z > > > ______________________________________________ > > R-help@r-project.org mailing list > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide > http://www.R-proj...

Dear Rgurus, To my knowledge the best way to visualize the distribution of a discrete variable X is plot(table(X)) The problem which I have is the following. I have to discrete variables X and Y which distribution I would like to compare. To overlay the distribution of Y with lines(table(Y)) gives not satisfying results. This is the same in case of using density or histogram. Hence, I am

I received the following email note re: the vcdExtra package > A vcd update has shown that packages TIMP and vcdExtra are not > declaring their dependence on colorspace/MASS: see > > http://cran.r-project.org/web/checks/check_results_vcdExtra.html But, I can't see what to do to avoid this, nor understand what has changed in R devel. Sure enough, CRAN now reports errors in

...mples from the book "Visualizing Categorical Data" by Michael Friendly. By now the features of the package essentially cover chapters 2-4 from the book: o fitting and graphing discrete distributions: goodness-of-fit tests for poisson, binomial and negative binomial distribution; rootograms; Ord plots; poissonness plots. o 2-way contingency tables: improved fourfold displays (compared to base); trilinear plots; sieve diagrams, agreement charts. o mosaic displays for n-way tables: improved mosaicplots (compared to base); mosaic matrices. We work on extensions enhancing...

...mples from the book "Visualizing Categorical Data" by Michael Friendly. By now the features of the package essentially cover chapters 2-4 from the book: o fitting and graphing discrete distributions: goodness-of-fit tests for poisson, binomial and negative binomial distribution; rootograms; Ord plots; poissonness plots. o 2-way contingency tables: improved fourfold displays (compared to base); trilinear plots; sieve diagrams, agreement charts. o mosaic displays for n-way tables: improved mosaicplots (compared to base); mosaic matrices. We work on extensions enhancing...

I using lattice to make some plots and I want to make the y-axis on some of these plots use a log scale. In the following plot: x <- 1:10 y <- 2^x xyplot(log10(y) ~ x) I get tick marks on the y-axis at 0.5, 1.0, 1.5, 2.0, 2.5, and 3.0. I would rather have just 3 tick marks at 1.0, 2.0, and 3.0 but labeled 10, 100, and 1000. I know this can be done using the "at" and