search for: spineplot

...font size of the standard text items for the splineplot function found in the standard graphics package. Here is a tiny example, in which I try (but fail) to make the main title large. tbl = read.table ('http://www.ggobi.org/book/data/tips.csv', sep=',', header=T) spineplot (table (tbl$DAY, tbl$SEX), main='TIPS', cex.main=3) None of the other 'cex' parameters seem to work either, but cex.main is probably a sufficient example. Any tips for me? Thanks! - Paul

I noticed, what seened to me, to be odd. These produce a boxplot in the first case and a spineplot in the second case in R .2.2.0: plot(Sepal.Length ~ Species, iris) plot(Species ~ Sepal.Length, iris) What if one wants to exchange axes? Does the fact that this seemingly innocuous change result in completely different graphics make sense? Is it desirable?

http://www.nabble.com/file/p16349649/at-length.png Hi, I produced this graph with R and I am very happy with it. But now I wonder: Is this some standard way of displaying data and if so, does it have a name? (like Histogram, Box plot etc.) I need to explain the plot to people so knowing a bit more about what exactly this is, would certainly help ;-) Thanks a lot! -- View this message in

...rectly interact with all statistical objects in a graphic: querying, linking, reordering, reformatting, zooming, whatever. (4) You write of point-based graphics, what about area-based graphics like histograms, barcharts and mosaicplots? For categorical data the ability to select groups and look at spineplots of other variables to compare proportions is very effective. (And don't forget linking to maps for spatial data.) (5) You mention outliers. How do you decide what is an outlier? Interactive parallel coordinate plots are extremely useful, either for identifying outliers or for checking ones f...

Hi, I have a dataset that I am trying to analyze and plot as an ordered logistic regression (y = ordinal categories 1-3, x = continuous variable with values 3-9). First is a problem with cdplot: Produces a beautiful plot, with the "right" trend, but my independent factor values are transformed. The factor has values from 3-9, but the plot produces an x-axis with values from 20-140.

Hi, Given that cdplot() is used to produce the conditional density of a categorical y along a numerical x, it seems natural that it could be used with a date or time x (such as 'POSIXct'). Is this desirable? If so, I've created a patch that would allow this, by coercing the POSIXct x variable to produce the density, but use the original POSIXct x to draw the x axis. Index:

Hi, I want to analyse a contigency table (3 x 12) with a fisher.test beacause there are cells that are less than 5. ?mmen Anken Baf Belchen H?chi Hof Porti R?m Schmutz Sch?n Sissa Tann class14 7 26 150 2 46 68 126 66 3 31 7 61 class24 7 6 55 5 49 71 93 90 1 18 16 79 class34 1 1 4 3 19 8 29 61

Full_Name: Paul E. Johnson Version: 2.9.1 OS: Linux (Ubuntu 9.04) Submission from: (NULL) (129.237.61.25) x <- gl(2,50) y <- rnorm(100) plot(x,y) plot(x,y, type="n") I *wish* the last one would draw a blank plot box w/axes, but it does not. It fills in the middle with a box plot. I've not seen this problem when x is numeric.

Hi, I've got a data set with a control group and a number of experimental groups, that have unequal sample sizes, and am measuring the number of people in each that respond yes or no. I'd like to use a dunnett test in R, where the syntax is supposed to be like: library(multcomp) test.dunnett=glht(anova_results,linfct=mcp(method="Dunnett")) confint(test.dunnett)

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I`ve read all the manuals and still couln`t find what is the difference between the stacked and side-by-side barplots ? Could you explain me ? [[alternative HTML version deleted]]

I expect that there's something glaringly obvious that I'm overlooking, as I'm justr getting back involved in using R after a several-month hiatus (from R). So I welcome clues. When I invoke plot(), merely specifying a data.frame with 2 columns, specify the plot type ("type") of "p" ("points"), and that I want the point to be green ('col =

...her than the default factor type. o If model.frame.default() encounters a character variable where 'xlev' indicates a factor, it now converts the variable to a factor (with a warning). o curve() now returns a list containing the points that were drawn. o spineplot() now accepts axes = FALSE, for consistency with other functions called by plot.factor(). o The Kendall and Spearman methods of cor.test() can optionally use continuity correction when not computing exact p-values. (The Kendall case is the wish of PR#13691.) o...

...her than the default factor type. o If model.frame.default() encounters a character variable where 'xlev' indicates a factor, it now converts the variable to a factor (with a warning). o curve() now returns a list containing the points that were drawn. o spineplot() now accepts axes = FALSE, for consistency with other functions called by plot.factor(). o The Kendall and Spearman methods of cor.test() can optionally use continuity correction when not computing exact p-values. (The Kendall case is the wish of PR#13691.) o...

...her than the default factor type. o If model.frame.default() encounters a character variable where 'xlev' indicates a factor, it now converts the variable to a factor (with a warning). o curve() now returns a list containing the points that were drawn. o spineplot() now accepts axes = FALSE, for consistency with other functions called by plot.factor(). o The Kendall and Spearman methods of cor.test() can optionally use continuity correction when not computing exact p-values. (The Kendall case is the wish of PR#13691.) o...

...her than the default factor type. o If model.frame.default() encounters a character variable where 'xlev' indicates a factor, it now converts the variable to a factor (with a warning). o curve() now returns a list containing the points that were drawn. o spineplot() now accepts axes = FALSE, for consistency with other functions called by plot.factor(). o The Kendall and Spearman methods of cor.test() can optionally use continuity correction when not computing exact p-values. (The Kendall case is the wish of PR#13691.) o...

...quot;mle", so saved objects from earlier versions may need to be recomputed. * The default for pdf() is now useDingbats = FALSE. * The default fill colour for hist() and boxplot() is now col = "lightgray". * The default order of the levels on the y-axis for spineplot() and cdplot() has been reversed. * If the R_ALWAYS_INSTALL_TESTS environment variable is set to a true value, R CMD INSTALL behaves as if the --install-tests option is always specified. Thanks to Reinhold Koch for the suggestion. * New function R_user_dir() in pac...

...quot;mle", so saved objects from earlier versions may need to be recomputed. * The default for pdf() is now useDingbats = FALSE. * The default fill colour for hist() and boxplot() is now col = "lightgray". * The default order of the levels on the y-axis for spineplot() and cdplot() has been reversed. * If the R_ALWAYS_INSTALL_TESTS environment variable is set to a true value, R CMD INSTALL behaves as if the --install-tests option is always specified. Thanks to Reinhold Koch for the suggestion. * New function R_user_dir() in pac...

...quot;mle", so saved objects from earlier versions may need to be recomputed. * The default for pdf() is now useDingbats = FALSE. * The default fill colour for hist() and boxplot() is now col = "lightgray". * The default order of the levels on the y-axis for spineplot() and cdplot() has been reversed. * If the R_ALWAYS_INSTALL_TESTS environment variable is set to a true value, R CMD INSTALL behaves as if the --install-tests option is always specified. Thanks to Reinhold Koch for the suggestion. * New function R_user_dir() in pac...

...o Experimental versions of cbind() and rbind() in methods package, based on new generic function cbind2(x,y) and rbind2(). This will allow the equivalent of S4 methods for cbind() and rbind() --- currently only after an explicit activation call, see ?cbind2. o New functions cdplot() and spineplot() for conditional density plots and spine plots or spinograms. Spine plots are now used instead of bar plots for x-y scatterplots where y is a factor. o checkDocFiles() in package 'tools' now checks for bad \usage lines (syntactically invalid R code). o The non...