search for: treemaps

Has anyone implemented "treemaps" in R? A "treemap" is a visual display of a tree structure in which, at each level, the several nodes are represented by rectangles which fill the available area. The areas of the rectangles represent size, and their colors represent some other variable. There are several algorithm...

First: Im sorry for my bad english ;-) I use "portfolio" to create treemaps with "R". I've got a .csv dataset of all the schools in my city, containing 6 variables each with 1469 lines of data. When I create a treemap, 3 of these schools were not taken into account by "R". I dont know why. It doesn't matter where I put them in my dataset, they...

Hi all, I am running R 2.5.0 under Windows XP Media Center Edition. Here's a problem that's been stumping me for a few days now, and I can't find anything useful in the archives. I am using voronoi.mosaic (tripack package) to create proximity polygons for a study of vegetation competition and dynamics. The points lists are read in from a file for each plot, then 8 duplicates

Hi~I'm new to R. I'm following these two tutorials to make a tree map, but the color scale isn't quite what I wanted. For map of the market, the color scale starts from 0(red) to max(green), what I wanted is 0(Green)-1(Red)-max(green). What's the easiest way to achieve this kind of divergent color scale? How shall I make my own palette and use it in the map.market or tree map

Hi there, I am trying to interface c++ code in R and make a package. With R CMD SHLIB the dll was created, but when I try R CMD check, I am getting 'undefined reference to..' linkage error messages. The relevant c++ source from conf-infomap.cpp: #include "conf-infomap.h" #include "R.h" // R functions #include "Rinternals.h" #include "Rmath.h" //

Hi there, I'm sorry if I a send it for second time, I've just subscribed for the list. I am trying to interface c++ code in R and make a package. With R CMD SHLIB the dll was created, but when I try R CMD check, I am getting 'undefined reference to..' linkage error messages. The relevant c++ source from conf-infomap.cpp: #include "conf-infomap.h" #include

Hi there, I am trying to interface c++ code in R and make a package. With R CMD SHLIB the dll was created, but when I try R CMD check, I am getting 'undefined reference to..' linkage error messages. The relevant c++ source from conf-infomap.cpp: #include "conf-infomap.h" #include "R.h" // R functions #include "Rinternals.h" #include "Rmath.h" //

Let's say I have data in the following schema that describes the number of purchases a company has received from each County in the US: State | County | Purchases --------------------------------------- NJ | Mercer | 550 CA | Orange | 23 .... I would like to visualize what states contribute the most to the overall total, and furthermore within those states, what Counties contribute the most.

Dear List, Does there exist a function that produces a heat map like this one (image 3 of 4): http://www.tdameritrade.com/tradingtools/options360.html?a=HDY&referrer=http%3A%2F%2Fquery.nytimes.com%2Fsearch%2Fsitesearch%3Fquery%3Dheatmaptype%3Dnyt In addition to colors, two other main features I am intersted in are: 1. Proportionality in the size of the grid. 2. Mose-over capability. I may

Hello! It's a shoot in the dark, but I'll try. If one has a total of 100 (e.g., %), and three components of the total, e.g., mytotal=data.frame(x=50,y=30,z=20), - one could build a pie chart with 3 sectors representing x, y, and z according to their proportions in the total. I am wondering if it's possible to build something very similar, but not on a circle but in a square - such that

I'm very new to R and I live in Mali, west Africa. I'm on *OS X 10.7.5*. I downloaded and installed *R 3.2.1*. I downloaded and installed *RStudio 00.99.893*. I ran through the free Microsoft data camp intro to R course, then started another free course through 'edX', for Data and Statistics for Life Sciences, using R. The first prompt in the course is to

Hello, When I plot or look at the error rate vector for a random forest (rf$err.rate) it looks like a descending function except for a few first points of the vector with error rates values lower(sometimes much lower) than the general level of error rates for a forest with such number of trees when the error rates stop descending. Does it mean that there is a tree(s) (that is built the first in

I have a couple of packages that use the d3.js library developed (and copyrighted) by Mike Bostock. One package uses it extensively, another only for one function. I use R to piece together parts files containing JavaScript that I have written, which use d3.js functions and eventually the d3 library is called from a temporary web page. To date, I have pointed to Bostock's library in the Rd

Hi, I have a data set with 1000 observations and 260 predictors. The predictor variables are all ordinal. There are 2 classes labeled as, F and T with class proportions of 0.44 and 0.56, respectively. In a call to the function randomForest() with mytry=1 and nodesize=1 and ntree=100 the resulting classifier puts all observations in class T. When I change nodesize to nodesize=5 I get the

I write about R every weekday at the Revolutions blog: http://blog.revolution-computing.com and every month I post a summary of articles from the previous month of particular interest to readers of r-help. http://bit.ly/9GoTVd announced the availability on YouTube of "What is R", a 4-part video based on a recent webcast I hosted. http://bit.ly/bVSSaH announced a webinar I hosted on

Le 06/05/2015 21:05, Renato Golin a écrit : > On 6 May 2015 at 19:15, Sanjoy Das <sanjoy at playingwithpointers.com> wrote: >> I could not easily locate this on http://llvm.org/reports/coverage/ so >> asking here: what workload is the coverage computed over? IOW, what >> all does the bot run to get this coverage information? > Nothing is clear in that page. No

Hi all, I'm trying to figure out a way to create a data graphic that I haven't ever seen an example of before, but hopefully there's an R package out there for it. The idea is to essentially create a heatmap, but to allow each column and/or row to be a different width, rather than having uniform column and row height. This is sort of like a Marimekko chart in appearance, except that

Greetings. I'm trying to determine whether to use rpart or randomForest for a classification tree. Has anybody tested efficacy formally? I've run both and the confusion matrix for rf beats rpart. I've looking at the rf help page and am unable to figure out how to extract the tree. But more than that I'm looking for a more comprehensive user's guide for randomForest including

CRAN (and crantastic) updates this week New packages ------------ * EffectStars (1.0) Maintainer: Unknown Author(s): Gunther Schauberger License: GPL-2 http://crantastic.org/packages/EffectStars The package provides functions to visualize regression models with categorical response. The effects of the covariates are plotted with star plots in order to allow for an optical