similar to: Using key.opts in Ecdf/labcurve (Hmisc package)

Hey, I'm trying to create an image file with the results of a regression analysis. In TeX, the line would be something like: $ size = 0.34 + 4.3 var_1 $ Can I create a plot window with just this line in it? I tried playing around with plot.new() or dev.new(), but didn't really find something that worked. Thanks in advance, Alex -- alexx at alexx-fett:~$ vi .emacs

I run into some problems when trying to convert units using Hershey-Fonts: R chrashes. > library(grid) > label <- "some text" > pushViewport(viewport(gp=gpar(fontfamily="HersheySerif"))) > convertHeight(stringHeight(label), unitTo="mm") *** caught segfault *** address 0xadc838f8, cause 'memory not mapped' Traceback: 1:

Dear list, Consider the following, library(grid) w = unit.c(unit(1, "in"), unit(2, "in")) w2 = w + unit(1, "mm") w[2] <- 0 w2[2] <- 0 convertUnit(w, "mm") #[1] 25.4mm 0mm convertUnit(w2, "mm") #Error in grid.Call("L_convert", x, as.integer(whatfrom), as.integer(whatto), : # INTEGER() can only be applied to a

Hello: [Kindly Cc when replying] The question in a nutshell is this: Is there a more robust alternative to Ecdf ()? The details: I've used Ecdf () _a lot_ over the past few years and I have learned to live with its warnings. But I am running short on time and patience now [*] Here is a reproducible example: > library (Hmisc) > x <- read.csv ( file =

Dear R Gurus, Sorry if this has been asked before but I did not find it in the archives. I would like to add a horizontal display of mean and SEM on Hmisc ecdf plots done by group (ie variate~treatment). Has anyone written some code to do that ? Thanks and kind regards, Jean-Louis

Dear all, I would like to calculate the complementary cumulative distribution function. As it is known, the ccdf is the 1-ecdf(X)==1-F(x). (From ?ecdf help is shown that ecdf returns a function which is the F(x) I would like to use that function inside my function and after call curve (which accepts function as input). My code looks like that onVector<-seq(1:100)

Hi All, I have codes as follows to get the ecdf plots: > day.hos2<-c(6,4,6,6,4,6,5,4,7,5,6,6,8,6,17,9,8,4,6,3,5,8,7,12,5,10,6,4,6 ,13,7,6,6,25,4,9,96,6,6,6,6,9,4,5,5,4,10,5,7,6) > day.hos3<-c(5,6,7,6,4,5,6,6,6,6,19,7,5,9,8,8,7,5,6,20,40,5,8,7,7,5,6,13, 11,9,4,6,9,16,6,7,6) > f<-ecdf(day.hos2) > plot(f,col.p='red',col.h='red') >

Hi all, given this example #start a<-c(0,70,50,100,70,650,1300,6900,1780,4930,1120,700,190,940, 760,100,300,36270,5610,249680,1760,4040,164890,17230,75140,1870,22380,5890,2430) length(a) b<-c(0,0,10,30,50,440,1000,140,70,90,60,60,20,90,180,30,90, 3220,490,20790,290,740,5350,940,3910,0,640,850,260) length(b) out<-ks.test(log10(a+1),log10(b+1)) # max distance D

I recommend instead of no border, that you use a border with the same color as the fill. I do this in the likert functions in the HH package. Rich On Mon, May 21, 2018 at 10:59 AM, Martin Batholdy via R-help <r-help at r-project.org> wrote: > Dear R-users, > > I want to draw a barplot with beside=TRUE. > One halve of the bars are drawn with a border, while the other halve are

R-Masters, I need to produce high resolution line plots and place labels on the curves. It seems that cex must be high relative to the other cex values in order to produce sufficiently large & legible tick labels at high resolutions. But high cex values cause the curve labels to become gigantic when using Hmisc. I've struggled and searched the archives, but cannot find a way of

A significant update to the Hmisc package is now available on CRAN for all platforms. Hmisc source is now on github at https://github.com/harrelfe/Hmisc and the full change log may be found at https://github.com/harrelfe/Hmisc/commits/master The most important updates are additions of new graphics functions for summarizing and displaying data with an aim of replacing tables. There is also

Dear R-users, I want to draw a barplot with beside=TRUE. One halve of the bars are drawn with a border, while the other halve are drawn without a border (i.e. filled bars vs. non-filled bars next to each other). Because borders are drawn around the bars, doing this leads to one halve of the bars being wider than the other halve, expanding across the 0-point of the y-axis. This problem emerges

Hi: (Tried to find a bug report about this issue, but was unable to find it, let me know if this is a known issue) I have been working on an interface to highlight xyplot panels on mouse overs in JavaGD but I have stumbled with what seems to be a bug in trellis.focus. I am using R 2.8 with lattice 0.17-15 *** To replicate the bug: 1.- display an xyplot. For example, from the xyplot help page:

Hi All, I have been able to modify the x-axis to start at zero by adding xlow and xhigh parameters; that was pretty simple. I have been unable to find the location of the code that would turn off the information weighting of the box size (I have smaller randomized trials getting less weight than a much larger non-randomized trial). The function is forestplot() from rmeta. Thanks for any

Hi r-users, I would like to overlap 2 ecdf plots.  I tried this below and it gives me two plots of ecdf but just both just in black. par(mar=c(4,4,2,1.2),oma=c(0,0,0,0),xaxs="i", yaxs="i") plot(ecdf(datobs)) lines(ecdf(gam_sum_gen)) Then I try to add colors etc and also the legend but fail. par(mar=c(4,4,2,1.2),oma=c(0,0,0,0),xaxs="i", yaxs="i")

Dear all, I'm puzzled by the behavior of stringHeight in the grid package. Consider the following test, library(grid) test <- function(lab="dog", ...){ g1 <- textGrob(lab) g2 <- rectGrob(height=grobHeight(g1), width=grobWidth(g1)) gg <- gTree(children=gList(g1,g2), ...) print(c("height:", convertUnit(stringHeight(lab), "mm",

Is there a simpler way then the solution to the one that was posted here? I'm not very proficient with legend, and I don't understand this solution. All I have is two or more lines on one plot that I want to put a legend on and I can't figure out how to do it from the examples. Can you give a very simple example? It does not have to be fancy!! I have never worked with a

Is there an easy way to make the error bars the same color as the points and lines they are plotted with. My example # fake data x=sample(1:10, 100, replace =T) y = rnorm(100) + runif(100) df=data.frame(x,y) # summarize data m = aggregate(df,list(x),mean) se = aggregate(df,list(x),sd)/sqrt(10) library(Hmisc) plot(x,y) errbar(m$x, m$y, m$y+1.96*se$y,

Given a dataset x, the ecdf is ecdf(x). Then I can use ecdf(x)(y) to find the percentile of y. Given the ecdf is there a way to determine what is the value of y that is the boundary of let's say 95 percentile? In other words, is there a function I can call on the ecdf like: fomeFunc( ecdf( x ), 0.95 ) Which will return the highest value of y, for which ecdf( y ) < 0.95? The only solution

Hi, i want to plot empirical cumulative density functions for two variables in one plot. For better visualizing the differences in the two cumulative curves I'd like to log-scale the axis. So far I found 3 possible functions to plot ecdf: 1) ecdf() from the package 'stats'. I don't know how to successfully set the log.scales? Combining two plots is not a problem: plot(ecdf(x1))