similar to: How does the cex parameter scale circles?

Dear List, I want to use transparency in R to represent downweighting of observations based on clusters (repeated observations in a dataset). Some clusters will have identical covariate values in a parameter space -- in the 2D x,y case, these represent a bunch of semi-tranparent dots in the same place. I'd like these overlapping dots to be completely opaque. In other cases, the

Hello, I can't seem to add transparency to any color ramp I create using colorRampPalette(). Can someone tell me if it is possible to create transparent colour ramps? I am attempting to map shaded relief under elevation data. I know I can use the terrain.colors() with the alpha option, but I would prefer to create my own colour ramp using more vibrant colours. My most recent attempt at

Working with the built in R data set Orange, e.g. with(Orange, table(age, circumference)). How should I go about about grouping the ages and circumferences in the following ranges and having them display as such in a table? age range: 118 - 664 1004 - 1372 1582 circumference range: 30-58 62- 115 120-142 145-177 179-214 Thanks for any feedback and insights, as I hoping for an output that

Hi, I have a puzzeling problem. I want to export graphics from R to TeX via postscript(). This works fine for some graphs, but for others, the eps remain empty when viewed with GSView. When such an empty eps is imported to TeX, the figure appears upside down and very small, irrespective of TeX width and height commands. If I transform the eps to pdf, the graphic shows up, but turned aqround 90°.

Dear ExpeRts, I am trying to plot a bunch of growth curves and would like to get some more control over groups and line colors than I seem to have. Example: # make some data dat <- Orange dat$group <- ifelse(dat$Tree%in%c('1','4','5'), 'A', 'B') # plot xyplot(circumference~age, dat, groups=group) # now use lines to make the growth curve more

Dear "R-listers" I've been trying to figure out how to annotate charts in ggplot (ie add text to line charts, highlighted boxes etc). By and large, I can get close to what i want with base graphics, but would ideally like to use ggplot whenever possible (additionally, i would like to add text labels automatically to the chart). The code is below I suspect I need to use geom_rect,

Hi folks, I am tearing my hair out on this one. I am using an example from Pinheiro and Bates. ### this works data(Orange) mod.lis <- nlsList(circumference ~ SSlogis(age, Asymp, xmid, scal), data=Orange ) ### This works mod <- nlme(circumference ~ SSlogis(age, Asymp, xmid, scal), data=Orange, fixed = Asymp + xmid + scal ~ 1, start =

i am having problem running my own data. yesterday it was working just fine. today it is not. this is the code i was using as an example to follow. this code ALSO worked just fine yesterday, and is no longer working at all. i suspect it is a problem with either my computer or the software, at this point. if THIS won't even run.... something is wrong. i can assure you this isn't

Hi all: I'm using 'persp' for 3D graphics. I need the axis's labels smaller than by defect. I see in 'help()', the information about 'par()'. I have wrote: >par(.....,cex.axis=0.5,cex.lab=0.5) perspc(.................) and the result don't change. The question is: Can I change the size of labels in the perps graph?? Thank you in advance: /salva

Hi all: I'm using 'persp' for 3D graphics. I need the axis's labels smaller than by defect. I see in 'help()', the information about 'par()'. I have wrote: >par(.....,cex.axis=0.5,cex.lab=0.5) perspc(.................) and the result don't change. The question is: Can I change the size of labels in the perps graph?? Thank you in advance: /salva

Hello, I want to be able to make a plot that has several series with different color and linetype. Online documentation suggest that this is possible, but I haven't found how: "We can also create redundant mappings, mapping the same variable to multiple aesthetics. This is most useful when producing a graphic for both colour and black and white display." Here's what I have to

>>>>> "VW" == Viechtbauer Wolfgang (STAT) <Wolfgang.Viechtbauer at STAT.unimaas.nl> >>>>> on Fri, 26 Sep 2008 18:00:19 +0200 writes: VW> Hi all, I'm trying to fit a marginal (longitudinal) VW> model with an exponential serial correlation function to VW> the Orange tree data set. However, R crashes frequently VW>

Dear all, How to obtain the odds ratio (OR) and 95% confidence interval (CI) with 1 standard deviation (SD) change of a continuous variable in logistic regression? for example, to investigate the risk of obesity for stroke. I choose the happening of stroke (positive) as the dependent variable, and waist circumference as an independent variable. Then I wanna to obtain the OR and 95% CI with

Hello Everyone, I have three variables: Waist circumference (WC), serum triglyceride (TG) level and gender. Waist circumference and serum triglyceride is numeric and gender (male and female) is categorical. From these three variables, I want to calculate the "Lipid Accumulation Product (LAP) Index". The equation to calculate LAP is different for male and females. I am giving both

Well, something like: LAP <- ifelse(gender =='male', (WC-65)*TG, (WC-58)*TG) The exact code depends on whether your variables are in a data frame or list or whatever, which you failed to specify. If so, ?with may be useful. Cheers, Bert On Fri, Nov 3, 2023 at 3:43?AM Md. Kamruzzaman <mkzaman.m at gmail.com> wrote: > Hello Everyone, > I have three variables: Waist

df$LAP <- with(df, ifelse(G=='male', (WC-65)*TG, (WC-58)*TG)) That will do both calculations and merge the two vectors appropriately. It will use extra memory, but it should be much faster than a 'for' loop. Regards, Jorgen Harmse. ------------------------------ Message: 8 Date: Fri, 3 Nov 2023 11:10:49 +1030 From: "Md. Kamruzzaman" <mkzaman.m at gmail.com>

Hi all, how do I change the magnification of xaxis annotation? I need a smaller axis text size in some of my plots. I tried cex.axix=0.5 in plot(), but this doesn't work. Thanks, Sven -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

Dear HelpeRs, I have a script where I save several thousands of graphics. These are then used in Latex through Sweave. Unfortunately R crashes while making these plots and Windows pops up some message that I run low on virtual memory. I tried to save the plots using pdf(), windows() and postscript() and also tried to run it with R CMD BATCH myscript.R. But after a while R slows down and crashes

Hello- I'm new to R, coding and stats. (Oh no.) Anyway, I have about 12000 data points in a data.frame (dealing with dimensions and geological stage information for fossil protists) and have plotted them in a basic scatter plot. I also added a boxplot to overlay these points. Each worked fine independently, but when I attempt to superimpose them with add=true, I get a different scale for

Sometimes one might like to obtain pointwise bootstrap bias-corrected, accelerated (BCA) confidence intervals for a large number of statistics computed from a single dataset. For instance, one might like to get (so as to plot graphically) bootstrap confidence bands for the fitted values in a regression model. (Example: Chiu S et al., Early Acceleration of Head Circumference in Children with