similar to: Exporting symnum() result from cor()

Hello, I am trying to produce some graphics to visualize my data. I think I want histograms. I have a grouping variable that has 48 different groups. I would like to produce a graphic that contains three of of these groups in the same device (they are time steps). I would like create graphics for about 6 different variables (6 variables X 16 groupings of there = 96 graphics). I am unsure of how

Has anyone compiled the ogg and vorbis libraries with borlands c compiler (bcc32)? If so, are there any makefiles or similar available which can make it easier for me to do the same? /Erik <p>--- >8 ---- List archives: http://www.xiph.org/archives/ Ogg project homepage: http://www.xiph.org/ogg/ To unsubscribe from this list, send a message to 'vorbis-dev-request@xiph.org'

Dear all, I have samba3.0.23d running on FreeBSD 6.1. It is running with "security = ADS" and has been functioning correctly from about 3.0.14 to 3.0.22. Since I upgraded to 3.0.23(a|b|c|d) group permissions are not honoured by Samba. For example: drwxrwx--- 107 setup domain admins 3072 Nov 15 19:25 install The user setup is a windows admin user; this user can access this

Hello, I would like to state what I am (trying) to do. I have data set. It has 5749 rows (including the header) and 23 columns. The data contains values related to spatial aspects of the 412 landscapes (over various years). I will be making 2 groups from the data based on spatial extent. I will then be performing a quadratic lm for each extent by percent forest vs 1 of 8 other metrics. For a

Hello, I am trying to plot multiple histograms with the same scales, etc into one plot. The commands below produce a 3 page PDF with each histogram occupying the upper right quadrant. And use slightly different scales on the X and Y axes. > s21 <- dat[dat$sc_recov=="21",] > s21.ED <- subset(s21, select=(bbED)) > s31 <- all[all$sc_recov=="31",] > s31.ED

Hello, Below are the first two rows from my dataset and the header. This dataset has 5749 rows and I want to select only certain rows to be used based on existing grouping values. I am trying to group the data based on the values under 'ex_bin'. (e.g a group for 250, 251, 252, 500, 501, 502) I would then like to perform a lm for each grouping. My data: > all[1:2,] year extent scape

Hello, this code below was from a helpful R-help user. dat <- read.csv("Resid_fix2.csv", sep="," , header=T) dat11 <- dat[1:413,] # convert ambiguous columns to factors: dat11$Pri_No <- factor(dat11$Pri_No) dat11$RecovUnit <- factor(dat11$RecovUnit) # plot: require(lattice) bwplot(bbED~ Pri_No | RecovUnit, data=dat11, as.table=TRUE, layout=c(4,1)) This works,

Hi, I use lm or loess to make smoothing. After smoothing I need "Residual Standard Error" in my script. Could you please tell me how can I get this information? Thanks,

Hello, Is there a way to put multiple data.frames or objects into a single .csv ? I know I can use sink() to do this for a text file. Is there way to do it for a .csv? e.g. for sink() sink("c5.k.s.p.92.LN.sl.vs.mean.txt") symnum(c5.k.92.LN.sl.vs.mean) symnum(c5.s.92.LN.sl.vs.mean) symnum(c5.p.92.LN.sl.vs.mean) sink() Could I put these all into a single .csv, in a similar format to

Hi, I apologize if the solution is right in front of me, but I can't find anything on how to convert a class of 'noquote' to 'matrix'. I've tried as.matrix and I've tried coercing it by 'class(x)<-matrix', but of course that didn't work. I've been using the function 'symnum' which returns an object of class 'noquote'. Here is an

After downloading the nightly snapshot last night, I've spent a good part of the day trying to build the package with Borland C++Builder 4. I have some things to report, and also need some help. [Note: this message is long and messy :)] {Converting DSP files to BPR files} I made the necessary BPR files from the DSP files with the Visual C++ Project Conversion Utility. This works okay

Hi, I've had a look the bug list and searched though the R documentation, email lists etc. but didn't see anything on this: when I do: summary(species.glm1, correlation = TRUE) I get a correlation matrix like this: Correlation of Coefficients: ( p I(H C pH * 1 I(pH^2) * B 1 Ca . . 1 I(Ca^2) . . B attr(,"legend") [1] 0 ` ' 0.3 `.'

Okay, I stumped. I'm trying to build a matrix or data.frame that consists of values by group. For example, resid, group 574 0.536196370873122 E 575 0.93191093696265 E 576 -1.27116094894117 A 577 -1.05159666055027 A 578 0.398273458301184 D 579 0.586373126102573 E 580 0.806575304513802 E 581 0.897258393118338 E 582 0.342393324256838 D 583 0.781245511773227 E I

R 2.3.1 I wrote a little script to do some cross correlations. The symbols are in a text file like so: symbols.txt ibm dd csco """ require(tseries) symbols <- scan("symbols.txt", what = 'character') for(line in 1:(length(symbols)-1)) { assign(symbols[line], get.hist.quote(instrument = symbols[line], start = "2005-09-01", quote =

Hi all, Does anyone know a way to change the significant stars in mtable (package memisc)? The default is Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1, however I need it to be Signif. codes: 0 '***' 0.01 '**' 0.05 '*' 0.1 ' ' 1 Kind regards, Erich [[alternative HTML version deleted]]

Dear r-help users, I am using Sweave and Latex to create tables with output from several statistical test. As an example: I have a grouping variable "group" with two levels ("x" and "y") which I compare on variables ("a" and "b"). I have created a table in which means, standard deviations, and the statistic and p.value resulting from a t.test is

Dear List, I have a large (1600*1600) matrix generated with symnum, that I am using to eyeball the structure of a dataset. I have abbreviated the column names with the abbr.colnames option. One way to get an even more compact view of the matrix would be to display the column names rotated by 90 degrees. Any pointers on how to do this would be most useful. Any other tips for displaying the

I was hoping that there might be some way to attach significance code like the ones from summary.lm to a dataframe. Anyone know how to do something like that. Here is the function i'd like to add that functionality to: add1.coef <- function(model,scope,test="F",p.value=1,order.by.p=FALSE) { num <- length(model$coefficients) add <- add1(model,scope,test=test) sub <-

Hi there, I got a piece of code for the Iris data which allows to display correlation coefficients for each Iris species in the lower panel (color coded). I would now like to add e.g. a "*" to show the significance of each correlation next to the correlation coefficient. Furthermore I would like to make a t.test between the species "setosa" and "versicolor" for

I am using the following: Samba 2.2.8a (from FreeBSD ports) FreeBSD 4.7-RELEASE-p10 Samba is configured as a member of a Windows 2000 domain. Generally everything seems to be working as expected. Occasionally the following gets logged to the console: [2003/04/14 20:25:19, 0] smbd/service.c:make_connection(599) zulu (192.168.1.161) Can't change directory to /data/path (No such file or