search for: dotchart2

...ots are stacked on top of each other (as if gravity was affecting them). The advantage is that outliers are very visible (since a single 155 still gets a single dot). The net effect is a rug plot, but in the main portion of the plot, not just on the axis. Tried: I've played with dotchart and dotchart2 with no joy (eg. dotchart(nc$bac) (where nc is the dataset and bac is the column header). They do provide multiple dots (so that ten values of 57 are given 3 dots) but these overlap and aren't arranged in a logical way. Sometimes a single dot has a large y-value, sometimes it isn't. As a...

I am a complete newbie in R . Using R 2.2.0 Windows XP This started as a simple exercise to see if I could produce a simple Cleveland style dotchart with a line from the '2' axis to the dot rather than a continuous line as do "dotchart" and "dotchart2". At least I could not find that option. I got a crude program to work but it includes unnecessary steps. The data in Area (below) is sorted in reverse order to how I want it displayed I am doing to many 'sorts' either a sort() or a rev() to handle this problem. When I change fr...

Running R 1.8.1 on a Windows machine In dotchart, I would like to shrink the labels on the tick marks (that is, the numbers) without shrinking anything else. I could not find this in either the Rhelp archives or in ?dotchart, which recmmends cex to avoid 'label overlap', but cex shrinks all the characters in the plot. Is there a way to do this? Thanks Peter Peter L. Flom, PhD

...LaTeX picture environment for including a series of thermometers inside LaTeX text. This is intended especially for figure captions where the analyst wishes to provide a snapshot of the fraction of observations that are used in the current graphic. The dotchart3 function is an improvement of dotchart2. The rcspline.eval function, used by the rms package's rcs function, has better default knot placement for restricted cubic splines (natural splines) when there are ties in the predictor at the lowest or highest value (e.g., clumping at zero). The most recent updates to Hmisc are * Ch...

Hi All, I have a 4-dimensional data. I'm using barchart() function from lattice package. The R code and data are below - code includes one for stack=TRUE and other for stack=FALSE. I would like to present the data in another form which would be plotting Factor3 levels (P, Q, R, S) as two stacked bars (side by side). Like, for each level of Factor1 there should be two bars: first bar showing

Hi All, I have googled and tried finding if someone has ever tried producing (Grouped + Stacked) Barplot. I couldn't find one. My data needs to be reshaped, but once it is done it would be something like this: Factor1 Factor2 Factor3 Value A X P 10 A X Q 20 A Y P 20 A Y Q 5 A Z P 20 A Z Q 10 B X P 20 B X Q 10 B

Dear All, I wonder if someone can point me in the right direction here. I'm working with the rms library, R 2.9.2 under Windows XP. I'm trying to arrange two plots side by side for a colleague. mfrow or mfcol do not seem to work, however, so I am obviously missing something important. I know that there have been changes in the graphics from Design to rms, but am just not sure where to

Dear R Masters, I have searched high and low (the help archives and my various R reference material and help files) for a solution to what appears to me to be quite a simple problem. In the following syntax, variable n10 has three levels. I would like the symbols that appear in the graph for these three levels to be different colors. The best I have been able to do is to have the Key display

Hi R Users! Thanks in advance. I am using R-2.5.1 on Windows XP. I am trying to do a stacked bar plot, but could not get through the following problem. The code is given below. 1. How can I provide 15 different colors for each method with 15 Rows? 2. How can I put the legend in a particular position (eg., in the top or bottom or right or left)? How can I put legend using a number

Dear List What is the R package equivalent of Proc Varclus or Information Value. ANy assistance in determining R equivalents of f Oblique Component Analysis (PROC VARCLUS), Information Value (IV) and Weight Of Evidence (WOE) analysis, and business intelligence http://www.nesug.org/proceedings/nesug06/an/da23.pdf Regards, Ajay Websites- http://decisionstats.com [[alternative HTML version

...gt; # horizontal boxplot > > op <- par(mar=c(5,6,4,6)+0.1) > tmp2 <- barplot(tmp, names=LETTERS[1:3], horiz=TRUE) > > # put numbers on the right > axis(4, at=tmp2, labels=as.character(tmp), tick=FALSE, las=1) > > par(op) > > # the dotplot > library(Hmisc) > dotchart2(tmp, labels=LETTERS[1:3], auxdata=tmp, xlim=range(0,tmp)) > > > # alternatives to stacked bars > > tmp1 <- c(8, 22, 60, 10, 10, 21, 59, 10) > tmp2 <- factor(rep(c('A','B'), each=4)) > tmp3 <- factor(rep(1:4, 2)) > > dotchart2(tmp1, groups=tmp2, l...