similar to: rearrange data: one line per subject, one column per condition

Hi list, I'm using barplot2 form the gplots package to plot a few numbers (I want to add SD bars later). However, I would like the y-axis not to start from 0 but 500. When I add the parameters YLIM, something goes wrong. The graph is not 'cut off' at 500. Instead the bars seems to sink trough the bottom of the graph. Because its a little hard to explain, here is a self-containing

Hi List, I have a problem plotting data using the lineplot.CI command in the sciplot package. I want to plot the data of 2 experimental cases using different lines (traces). Time is on the X-axis. The tricky thing is that the data collection in the second case started later than for the first case. This is to say: the first n data points for the second case are missing. So far so good. However,

Hi list, I'm currently processing textual data and I would really appreciate some help with one off my problems. I have a set of strings and I want to count how often each of this strings appears in this set. This is not very difficult and can be done as: TB<-table(my_set) plot(TB) However, I also want to collapse across sub-strings. This is, I want a sub-string ss of string S to be

Dear list, I have a data frame with a number of events (factor) and the times at which they occurred (continuous variable): event time A 10 A 12 B 15 A 17 C 13 ... Is it possible in R to make a plot against time of the cumulative frequency of occurrence of each event? This would be, a raising line for each factor. Regards, Dieter

Hello, I'm currently trying to find a method to interpolate or smooth data that represent a trajectory in space. For example, I have an ordered (=time) set of (x,y) tuples which constitute a path in a 2D space. Is there a way using R to interpolate between these points in a way similar to spline interpolation so that I get a smooth path in space? Greetings, Dieter -- Dieter Vanderelst

Hi All, I have an R script that spawns output in the form of an HTML page. This is done by the R2HTML package. Now I want to run the same script using Rcmd BATCH. However, it seems that it is not possible to use R2HTML in this case. My script ends with this error message: ######################### Error in dev.print(png, file = AbsGraphFileName, width = Width, height = Height, : can only

Dear List, I'm trying to interpret the results of the Kruskal's Non-metric Multidimensional Scaling algorithm (isoMDS, MASS package). The 'goodness of fit' is reported as "The final stress achieved (in percent)". What does this mean exactly? I've tried to google for an answer but I've not come up with a definitive answer. Regards, Dieter -- Dieter Vanderelst

Hi, I would like to know whether anybody knows a simple way to combine textual and graphical output in R. A typical analysis produces textual output (e.g. model fits) and plots in R. I would like to know whether R has the possibility of combining these into a single 'report' or output. An example of a program that does this is SPSS. After running the analysis you have a combination

Dear List, I'm using interp() to prepare 3d data for plotting with the contour() function. If have x,y and z data. All are arrays. X and Y are sampled in an orderly fashion on a grid (a circular sub-area of a grid - see plot). I'm trying to use interp() to get x and y arrays and a z matrix that can be fed to contour(). This is the command:

Dear List, (self-contained example + version info at the bottom) I'm having trouble producing a barplot using the functions in ggplot2. When I use the position="dodge" option, the bars are plotted but also a number of spurious markers. More specifically, a number of black dots are plotted in the graph that should not be there. This behaviour is not seen when calling the same

Dear List, We are using the mix() function in the mixdist package to fit mixture models to some of our data. The package provides a function to compare the fits of nested models using an ANOVA function. However, we were wondering whether there are methods that can be used to compare models that differ in the number of distributions fitted and/or the shape of the distributions. Is there a way,

Hi list, I'm struggling with plotting a 3d data set. I have a data frame with x,y and z values. They occur in no particular order (ie x and y are not ordered). However, I want to visualize the data using a contour plot. Now, the x,y and z data going into contour() are supposed to be ordered. My question is: Is their a quick way to re-arrange my data such that it can be fed to contour()?

Hello, I'm trying to use Mclust to fit a Gaussian Mixture Model to a mulitdimensional data set. Because of the specific source of my data, I know that all components have the same variance and that the covariance between dimensions is zero (modelname=VII). Furthermore, I have a reliable estimate of the variance of the components. I want to to use this estimate as a prior in mclust, hoping