similar to: manual construction of box&whisker plot

Full_Name: Richard Huggins Version: 1.7.1 OS: windows 2000 Submission from: (NULL) (131.172.4.44) > x<-rnorm(100,2,1) > mean(x) [1] 1.73299 > summary(fivenum(x)) Min. 1st Qu. Median Mean 3rd Qu. Max. -0.3655 1.1070 1.7430 1.7320 2.3840 3.7910 > summary(x) Min. 1st Qu. Median Mean 3rd Qu. Max. -0.3655 1.1070 1.7430 1.7330 2.3830 3.7910 >

I've just started using R and am still a neophyte, but I found the following curious result. I'm using the current version of R (2.5.1 (2007-06-27) ). Why are the results for the third quartile different in the output from the summary and fivenum commands? For the following data set 457 514 530 530 538 560 687 745 745 778 786 790 792

Hi all, I'm sure this is reallly basic, but I just can get it to work. I want to plot six box & whisker plots together to make one figure so that they appear one below the next. I can do this using >par(mfrow=c(6,1)), but each box&whisker plots end up vertically compressed to the point where I can't see the actual bars, and there is a large amount of white space between each

I am new to R and am running into trouble with the function plot. When I enter in the simple code: x<-1:4 y<-5:8 plot(x,y) I get a scatter plot with 4 points as expected. However, with my own data, A and B are both vectors of length ~85, each entry a decimal in [0,1]. Using the same plot(A,B) with this data, the plot function no longer gives me a simple plot with 85 points.

Full_Name: David Leong Version: 2.7.2 OS: Windows XP Submission from: (NULL) (12.187.86.2) It appears for the fivenum function, there is a strait average between two ranked samples. This should be a linear interpolation between ranks. For the following data set #data

Hello, How can an interative unit root test be implemented in R? More specifically, given a time series, I wish to perform the Dickey Fuller Test on a daily basis for say the last 100 observations. It would be interative in the sense that this test would be repeated each day for the last 100 observations. Given the daily Dickey Fuller estimates of delta for the autoregressive process d(Y(t))

Dear all i use R only a few days and don't understand the difference between fivenum(x) und summary(x). > x [1] 20.77 22.56 22.71 22.99 26.39 27.08 27.32 27.33 27.57 27.81 28.69 29.36 [13] 30.25 31.89 32.88 33.23 33.28 33.40 33.52 33.83 33.95 34.82 > fivenum(x) [1] 20.770 27.080 29.025 33.280 34.820 > summary(x) Min. 1st Qu. Median Mean 3rd Qu. Max. 20.77 27.14

Is there a way to modify the choice of notch size [1] in R's boxplot routine from outlining a 5% significance region, to say 1% or lower? Thanks, Alex [1] McGill, Tukey, and Larsen. "Variations of Box Plots", The American Statistician, Vol. 32, No. 1, 12-16.

I must apologize in advance for asking a simple question. I am sure that a clue will be sufficient to get this show on the road. I am trying to graph tide prediction data in various ways. I haven't been able to answer this question after pouring over TFM. I read the datafile theight <- read.table("tides",header=TRUE) I do get a summary() or fivenum()

Dear R-community, Using bwplot, how can I put the whiskers at percentile 5 and percentile 95, in place of the default position coef=1.5?? Using panel=panel.bwstrip, whiskerpos=0.05, from the package agsemisc gives satisfaction, but changes the appearance of my boxplot and works with an old version of R, what I don’t want, and I didn’t find the option in box.umbrella parameters Many thanks

Hi, This message is to let the R developers know that the pdfs for the first two volumes of the printed edition of R reference manual are available at, http://www.network-theory.co.uk/R/base/vol1.pdf http://www.network-theory.co.uk/R/base/vol2.pdf I've divided the manual into "core commands" of the base package (control flow, and related programming commands, etc) in Volume 1

Okay, so I have a homework projecr for R, and we had to input the following link as some sort of data: nb10 <- read.table("http://www.adjoint-functors.net/su/web/314/R/NB10"). Afterwards, we have to use fivenum(nb10) to find max, min, quantiles, and sd, but I'm okay with this. The next question is where I'm stuck. The question is as follows; Compare the median (use the

Hi useRs, I am trying to calculate the Sharpe ratio with "sharpe" of the library "tseries". The documentation requires the univariate time series to be a portfolio's cumulated returns. In this case, the example given data(EuStockMarkets) dax <- log(EuStockMarkets[,"FTSE"]) is however not the cumulated returns but rather the daily returns of the FTSE

I'm having trouble understanding the output from as.windrose(). For one thing, data on a boundary between sectors seem to be left out of the counts. I assume that explains the missing point in the output below (angle 45). Shouldn't one side of each sector interval be open, to include values such as my 45 in the example? Also, why does the angle 180 in my input apparently not result in

Hi, We want to get a B&W output from any video input (B&W or Color). So when we encoded into B&W video compression will be increased is it correct? Can we archive this by a existing encoder_example. -- ___ -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.xiph.org/pipermail/theora/attachments/20080121/c1d1b3c1/attachment.htm

Dear Rusers, I would like to color different sections of a histogram different colors. I have an example that was done by "brute force" given below. Has anyone implemented something like this in general? If not, any suggestions/pointers on how to write a general function to do so would be most appreciated. Alan-

You can get anything you want, at Alice's Restaurant: > quantile(d,.75,type=1) 75% 913 > quantile(d,.75,type=2) 75% 981.5 > quantile(d,.75,type=3) 75% 913 > quantile(d,.75,type=4) 75% 913 > quantile(d,.75,type=5) 75% 981.5 > quantile(d,.75,type=6) 75% 1015.75 > quantile(d,.75,type=7) 75% 947.25 > quantile(d,.75,type=8) 75% 992.9167 >

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 draw 'in the middle' - median, mean. What the box means - standard error, 90% or something else. What the whiskers mean -

Full_Name: Arne Henningsen Version: 2.3.0, 2005-11-21, i686-pc-linux-gnu OS: SuSE Linux 9.0, Kernel 2.4.21 Submission from: (NULL) (134.245.140.242) I did not find any problems in "./configure" and "make", but "make check" fails: make[4]: Entering directory `/home/suapm095/Download/R-devel/tests/Examples' collecting examples for package 'base' ...

When all else fails, read the help page... ?fivenum says to look at ?boxplot.stats, and the "Details" section of ?boxplot.stats has, well, details. Tukey had reasons to call those hinges rather than quartiles. Andy > -----Original Message----- > From: Knut M. Wittkowski [mailto:kmw at rockefeller.edu] > Sent: Thursday, May 29, 2003 5:58 PM > To: Matthias Kirschner >