similar to: Mode (statistics) in R?

How are the lower/upper whiskers defined in the default version of boxplot {graphics}? I tried help(boxplot) and searching www.rseek.org, but I was unable to determine an absolute answer. I checked out the definition of boxplot according to Wikipedia (http://en.wikipedia.org/wiki/Box_plot), but it also had several approaches listed for how the whiskers could be determined, so I'm just

Ok, so I'm slowly figuring out what a factor is, and was able to follow the related thread about finding a mode by using constructs like my_mode = as.numeric(names(table(x))[which.max(table(x))]) Now, suppose I want to keep looking for other modes? For example, Rgames> sample(seq(1,10),50,replace=TRUE)->bag Rgames> bag [1] 2 8 8 10 7 3 2 9 8 3 8 9 6 6 10 10 7 1

At one point I believe I heard of an R package that would automatically find the most empty space in a plot, and then that answer could then be used to intelligently place a legend. I would like to try to apply that R package to the contrived example shown below, so thank you for any hints or tips that can be provided. x = seq(0, 1000, by = 1) y1_vals<-rnorm(1000, mean = 0, sd = 50)

I recently received a Sigmaplot file (*.jnb) from a customer and would like to know if I can input it to a data frame and then manipulate the data in R.    I did a search on Google and on RSeek (www.rseek.org), but did not get any good hits.  Thank for any feedback and insight you can provide.   P.S. Love the flexibility of R and would love to keep using it.   Just wanting to know if this is

Maybe there is a great website out there or white paper that discusses this but again my Google skills (or lack there of) let me down. I would like to know the best way to export several doubles from a function, where the doubles are not an array. Here is a contrived function similar to my needs: multipleoutput<-function(x) { squared<-x^2 cubed<-x^3 exponentioal<-exp(x)

By any chance are there any alternatives to image(...) and filled.contour(...) I used Rseek to search for that very topic, but didn't turn over any leads... http://www.rseek.org/?cx=010923144343702598753%3Aboaz1reyxd4&newwindow=1&q=alternative+to+image+and+filled.contour&sa=Search&cof=FORID%3A11&siteurl=www.rseek.org%252F#1238 I'm sure there are some out there, but

Searched my R reference docs*, and the Rseek, but evidently I've overlooked this capabilty.    Is it possible to produce a 3d Barplot using R?   For example would like to have a three axis bar plot - \ x-axis = location(discrete), y-axis = data value, z-axis = frequency of value occurance (of location and value)   Would also if could also do something like what "qplot" allows,

My data set has a mixed level of measurement: Nominal scale - location (city) Ordinal scale - temperature (low, medium, high) Interval scale - age & value Just curious if there is an R package available that will handle the mixed "Level of Measurement". Looking to do graphical presentation of the correlation and also a qualitative analysis of the correlation.  Thanks again for

How can I add an overall plot title to these four plots? I would like to have something that says, "Distribution Comparisons": par(mfrow = c(2, 2)) # Plot 1 plot(rnorm(10),type="l",col="red") title(main = list(paste("Normal"), ????????????????????????? col="black", cex = 1.0)) # Plot 2 plot(rpois(10,

Hi all, I have data from an experiment with 3 independent variables, 2 are within and 1 is between. In addition to the dependent variable, I have a covariate that is a single measure per subject. Below I provide an example generated data set and my approach to implementing the ANCOVA. However the output confuses me; why does the covariate only appear in the first strata? Presumably it should

Is there a place that shows how to create two plots that are stacked on top of each other where they share a common x-axis scale, but have differnt y-axis scale? Say have the following data: airquality Stack plot(airquality$Day, airquality$Wind) on top of plot(airquality$Day, airquality$Temp). I am interested in stacking the two on top of each other with no seam, or plotting the two lines with

Are there any tricks associated with file.info? I just tried it on a directory folder and it returned NA for all fields for all files. I tried it on a different folder with different files and it still returned NA. I tried it on a specific file and it returned all the proper info correctly. Just wondering if there are any tricks I've overlooked.

Not sure if there is an R way to do this or a regular express way, but here is what I am trying to do. I've got lots of data where the format is HH:MM:SS, but I need to format it like HH:MM:00, i.e. round the second down to zero. What is the best way to do this? Thanks again. Jason

I've done a little snooping around the R Gallery Site (http://addictedtor.free.fr/graphiques/) and the "Statistics with R" site (http://zoonek2.free.fr/UNIX/48_R/all.html), but I can't seem to find what I'm looking for.  Here is the type of plot I would like to draw: (1) 2-D three axis plot where each axis is separated by 120-degrees (would be great if the number of axis

I've seen this asked, but never fully answered.  Is it possible to plot stacked histograms in R? I have four data sets that I would like to show combined vertically in histogram format.  Is this possible?  Thank you for any feedback you can provide. P.S. I know I can show the four sets side by side, but I want to combine them, but still uniquely identify each.   Thanks again.

I'm new to making bubble plots with R, so I was going to try the following: https://stat.ethz.ch/pipermail/r-sig-geo/2009-August/006258.html Unfortunately, it looks like rgdal is not part of 2.14.  I'm not sure if it was the mirror I selected or something else is going on. > install.packages("rgdal") --- Please select a CRAN mirror for use in this session --- Warning

I would like to use the "row number" information returned from performing a subset command on a dataframe. For example, I would like to automatically delete some rows from a dataframe if they match a criteria. Here is my example below. data(airquality) names(airquality) subset(airquality, airquality$Month == 6) Now how do I delete the row numbers returned automatically? I

Always reply to the list. I am not a free, private consultant! "For example, if I have the values : 1 , 2 , 3 in each column, applying Tabulate () would calculate the frequency of 1 and 2 without 3" Huh?? > x <- sample(1:3,10,TRUE) > x [1] 1 3 1 1 1 3 2 3 2 1 > tabulate(x) [1] 5 2 3 Cheers, Bert Bert Gunter "The trouble with having an open mind is that people

R-users it appears I am leaning on your knowledge once again.  Is there any way to add a vertical line to a histogram and qplot "stacked" plot?  Here is my current attempt:   "qplot" approach attempt: qplot(Run, data = data_dataframe, breaks = breaks, fill = Temperature, main = short_title) + scale_x_continuous("Data") + scale_y_continuous("Freq")

I searched the forms (i.e., R Search)?and come up with the following suggested link: ?http://cran.r-project.org/doc/FAQ/R-FAQ.html#How-can-I-create-rotated-axis-labels_003f I tried to implement what I believe was being implied by that URL and came up with the below: barplot(WorldPhones[1,], ??????? ylim=c(0, 50000), ??????? axes=FALSE, ann=FALSE, ???????