similar to: compare histograms

Dear all, this is not strictly R question. I have two vectors of different length (this is in the order of 10%). I am trying to see if still one can compare these two for similarity. IF the vectors were of the same length I would just take the difference of the two and plot a pdf of it. One way I am thinking is prorbably to find the longer length and short it in some way to get to the length of

Dear all, I wrote the following code to calculate the density functions for two data sets, respectively. den_str <-density(str_data$Similarity); den_non_str <-density(nonstr_data$Similarity); However, I would like to knowing the difference between den_str and den_non_str, that is, the difference between the region under the curve of the den_str and the region under the curve of

Hi I would like to implement the "Earth Movers Distance" into R and found the code in C on the following page: http://www.cs.duke.edu/~tomasi/software/emd.htm Unfortunately, I don't know much (nearly nothing) about C and how to call it from R. As far as I have seen, the calling of the code from R should be rather straight forward, but there are still several things I don't

Hi All, I am trying to plot 4 graphs on to 1 page using layout(...), or par(mfcol = c(...)); with the function QQplot from the package PerformanceAnalytics. The problem is that, no matter what order I use, it only plots 3 graphs on to 1 page and the last QQplot is shunted to the next page. Also, this only happens to the QQplot, i.e. there is no problem with 4 Histograms. set.seed(1033) data

By any chance is any one aware of a website, book, paper, etc. or combinations of those sources that show plots of different distributions? After reading a pretty good whitepaper I became aware of the benefit of I the benefit of doing Q-Q plots and histograms to help assess a distribution.   The whitepaper is called: "Univariate Analysis and Normality Test Using SAS, Stata, and SPSS*" ,

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 managed to compile (and use) C code from R, but now I have to use C++ code. After reading "Writing R extensions", I came up with the following code, which compiles fine ------------------- // emdL1_R.cc: #include <time.h> #include <stdio.h> #include "emdL1.h" extern "C" { void emd_L1( double *H1, int *n1, double *H2, int *n2,

I am a beginner in R, so please don't step on me if this is too simple. I have two data sets datax and datay for which I created a qqplot qqplot(datax,datay) but now I want a line that indicates the perfect match so that I can see how much the plot diverts from the ideal. This ideal however is not normal, so I think qqnorm and qqline cannot be applied. Perhaps you can help? Ralf

Hi all, I'm using R to analyze some research and I'm not sure which test would be appropriate for my data. I was hoping someone here might be able to help. Short version: Evaluate null hypothesis that change A1->A2 is similar to change C1->C2, for continuous, non-normal datasets. Long version: I have two populations A and C. I take a measurement on samples of these

Rhelpers: I'm curious what the appropriate analysis to use for testing the hypothesis that two histograms are statistically different from one another? Thanks! --j

Hi R Users, I have two vectors, x and y, of equal length representing two types of data from two studies. I would like to test if they are similar enough to use them interchangeably. No assumptions about distributions can be made (initial tests clearly show that they are not normal). Here some result: Two-sample Kolmogorov-Smirnov test data: x and y D = 0.1091, p-value < 2.2e-16 alternative

I am trying to graphically represent a large set of data who's result is not strictly uniform. http://n4.nabble.com/file/n961629/egraph_rules_list_2.png The scatter plot to the left has all of the data rising in steps however I know that there are cases within my data that do not fit the dotted line. temp<-edat[edat$R1SC>0,,]

I am trying to do something in R and would appreciate a push into the right direction. I hope some of you experts can help. I have two distributions obtrained from 10000 datapoints each (about 10000 datapoints each, non-normal with multi-model shape (when eye-balling densities) but other then that I know little about its distribution). When plotting the two distributions together I can see that

I'm using ks.test() to compare two different measurement methods. I don't really know how to interpret the output in the absence of critical value table of the D statistic. I guess I could use the p-value when available. But I also get the message "cannot compute correct p-values with ties ..." does it mean I can't use ks.test() for these data or I can still use the D

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

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 R-help listers, I am new. I just want to get helps on how to plot two histograms overlapped in the same plane coordinate. What I did is very ugly. Could you please help me to improve it? I want to got a plot with semi- transparent overlapping region. And, I want to know how to specify the filled colors of the different histograms. I also prefer other solutions other than ggplot2. Many

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

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:

Hi all, I'm trying to superimpose a rchisq density line over a histogram with something like: hist(alnlength) lines(density(rchisq(length(alnlength), 4)),col="red") But the rchisq line won't appear anywhere, Anyone knows what I am missing here? Thanks in advance, Albert.