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Hello, dear R users. What is the easiest and the most visualli understandable way to analize dependency of numerical variable on two factors? Is the boxplot(y~f1+f2) the good way? It seems that this formula does not work...
Wiener, Matthew ??????????: > interaction(A, B) will create a single factor made up of the combinations of > the two factors A and B. Perhaps that would let you use plotmeans. > > Hope this helps, > > Matt Wiener So you think plotmeans(num~interaction...
Austin, Matt ??????????: > Check your syntax on the bwplot call. > > fa <- data.frame(doz=sample(500:2000, size=500), fabp2=rep(1:20, 25)) > > bwplot(factor(fabp2) ~ doz, data=fa, panel=panel.bpplot) Yes, that's almost the same.... But there...
Prof Brian Ripley ?????: > I carefully tested my suggestions in the current version of R, 2.2.1, > before posting. They DO work, and as you have not even told us your > version of R, we have no idea what you...
Hello, dear participants! Could you tip me, is there any simple and nice way to build scatter-plot for three different types of data (, and o and * - signs, for example) with legend. Now i can guess only that way: plot...
Hello, dear R-users. I have 2-d dotplot with two variables: x, y. Dots on this dotplot are grouped in human-recogniseable areas. These areas are not round-shaped nor oval-shaped. They are free-form, but still recogniseable...
Hello, dear R users. I've already sent a question here, but I'm not sure that it had been read. I need to visualize classification of my numerical data based on 2-3 factors. As I suppose, the best...
Hello to all users and wizards. I am regulary using 'boxplot' function or its analogue - 'bwplot' from the 'lattice' library. But they are, as far as I understand, totally flawed in functionality: they miss ability to select what they would...
Evgeniy Kachalin wrote: > Hello, dear R users. > > I've already sent a question here, but I'm not sure that it had been read. > > I need to visualize classification of my numerical data based on 2-3 > factors. As I...
Prof Brian Ripley ?????: > On Sun, 19 Feb 2006, Evgeniy Kachalin wrote: > >> Hello, dear R users. >> >> What is the easiest and the most visualli understandable way to analize >> dependency of numerical variable on two factors? > > interaction.plot() is a good start...
Marc Schwartz (via MN) ??????????: > On Thu, 2005-12-01 at 19:40 +0300, Evgeniy Kachalin wrote: > >>Martin Maechler ??????????: >>So I analize genetics data. I have some factor (gene variant, c(1,2,3)) >>and the quantitative variable corresponding to that...
Prof Brian Ripley ?????: > On Sun, 19 Feb 2006, Evgeniy Kachalin wrote: > >> Hello, dear R users. >> >> What is the easiest and the most visualli understandable way to analize >> dependency of numerical variable on two factors? > > interaction.plot() is a good start...
Frank E Harrell Jr ??????????: > Evgeniy Kachalin wrote: > >> Marc Schwartz (via MN) ??????????: >> >>>> Marc Schwartz (via MN) ??????????: >> > > library(Hmisc) > library(lattice) > ?panel.bpplot > > bwplot(...., panel=panel.bpplot) > > By default, panel.bpplot shows the mean (dot) and median (line) plus > several quantiles. To...
Barry Rowlingson ÂÿÂøÂшÂõÂÑ‚: > Evgeniy Kachalin wrote: > >> What is ability in R to graphically (per mouse) define some area and >> to select all the...
Duncan Temple Lang ÂÿÂøÂшÂõÂÑ‚: > -----BEGIN PGP SIGNED MESSAGE----- > Hash: SHA1 > > > > > Barry Rowlingson wrote: > >>Evgeniy Kachalin wrote: >> >> >> >>>What is ability in R to graphically...
Martin Maechler ??????????: > Boxplots were invented by John W. Tukey and I think should be > counted among the top "small but smart" achievements from the > 20th century. Very wisely he did *not* use mean and standard deviations. > > Even though it's...
Uwe Ligges ÂÿÂøÂшÂõÂÑ‚: > Evgeniy Kachalin wrote: > >> Hello, dear participants! >> >> Could you tip me, is there any simple and nice way to build >> scatter...
Marc Schwartz (via MN) ??????????: >>Marc Schwartz (via MN) ??????????: >>So plotmeans is incapable of: boxplot(numerical~fact1+fact2). Is there >>any way further? > > > I think that somehow we are talking past each other here. > > plotmeans() does what it is designed to...
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