similar to: Barplot - Can't figure it out

Hello i need some precision about nipals in the chemometrics package in R . When i use nipals in chemometrics i obtain T and P matrix. I really don't understand what to do with these two matrix to obtain the scores for every the component (like in spss fo example) Comp1 Comp2 Comp3 quest1 0,8434 0,54333 0,3466 quest2 0,665 0,7655 0,433 Thank you very

Hi, I have a set of x,y data points and each data point lies between (0,0) and (1,1). Of this set I have selected all those that lie in the lower triangle (of the plot of these points). What I would like to do is to divide the region (0,0) to (1,1) into cells of say, side = 0.01 and then count the number of cells that contain a point. My first approach is to generate the coordinates of these

Hi everyone, Can I suggest an additional output component in cancor, from package mva? It would be useful to have the number of canonical correlation vectors, equivalently the rank of the covariance between x and y (label "rank"). This would usually be min(dx, dy), where dx and dy have already been computed for the svd function, but there might be situations where it was less than

Another naive stats question. I'm trying to better understand what boxplots are telling me. I think what I see is the median and the boundaries of the 1st and 3rd quartiles. The whiskers represent the range of the data unless there are points which are outside "range" (default: 1.5) times the distance from the median to that quartile. Is that right? I've read the

I've got a numeric vector with values ranging from 1 to 5, I would like to catagorize these values like this: 1 becomes catagory 1 3 becomes catagory 3 And everything else in catagory 2. The simple function I wrote beneath works for single numeric data, but for some reason I am unable to feed it vectors. Any help would be appreciated, as I'm fairly new to R. -- View this message in

good morning to the R-help list!, I would like to ask if there is an alternative to the S ploting parameter "cxy" in R. I am trying to port some S code to R that makes use of this "cxy" parameter to scale the graphics, and I don't find this parameter in help(par). thank you, IOsu ------------------------------------------------------------------------------- Jes?s

I was wondering if there is a way to get an exact p-value at times where R gives me just a range . for example t.test(x,y) p-value < 2.2e-16 thanks, -- View this message in context: http://r.789695.n4.nabble.com/getting-the-exact-p-value-tp3075107p3075107.html Sent from the R help mailing list archive at Nabble.com.

hi, I have a barplot with six clusters of four bars each. Now I would like to add the exact value of each bar as a number above the bar. I hoped to get some tips here. I could simply add text at the different positions, but I don't understand how the margins on the x-axis are calculated (how can I get / calculate the x-ticks of a barplot?). Also I would like to code this flexible enough so

Howdy! I need to calculate partial correlations and I just can't find out how to do that with R. Can anybody help? Ragnar -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !)

Is there an equivalent to the S-PLUS par()$cxy in R? Also, is it possible to get notice taken of some equivalent of \n in R when using text()? For what it is worth I am using RW-0.64.1. John Maindonald email : john.maindonald at anu.edu.au Statistical Consulting Unit, phone : (6249)3998 c/o CMA, SMS, fax : (6249)5549 John Dedman Mathematical

Hi, Earlier this year I "upgraded" from wine 20010510 to 20011226 in order to see if some kind of resource leak was fixed which caused screen redraws to get progressively slower and slower and slower and slower, .... That was fixed but there seemed to be a significant number of graphics and UI regressions. I've just upgraded to 20020228 to see if things were any better and within

Hello: I am using rpart and would like more background on how the splits are made and how to interpret results - also how to properly use text(.rpart). I have looked through Venables and Ripley and through the rpart help and still have some questions. If there is a source (say, Breiman et al) on decision trees that would clear this all up, please let me know. The questions below pertain to a

hello when I entered following command, I got NA values for some catagories. > tapply(slp_jeo2$slp,slp_jeo2$jeo,mean ) 999 Ca Cka DCy Jh JKi Kk 14.06665 NA 14.60445 NA NA NA NA NA KTa KTac Ku Kua Kus Ky Kyk ODe NA NA NA NA NA NA

I would like to draw only the ticks of an axis, but not the axis itself. I don't think this can be done using axis(), so I am trying to write a cut-down version in R, which only draws ticks. The point at which I am stuck is that the length of a tick is set by par("tcl") as a fraction of the "height of a line of text". So I would like to draw a line whose length is also

I often use something like old.par <- par(set someting) on.exit(par(old.par)) but in R 1.7.0. I now get warnings: > old.par <- par() > par(old.par) Warning messages: 1: parameter "cin" can't be set in: par(args) 2: parameter "cra" can't be set in: par(args) 3: parameter "csi" can't be set in: par(args) 4:

I've been using par() to check the graphics parameters associated with both plot(<fitted linear model>) and plot(<grouped data object>). AFAIK the only differences are in the $cxy, $usr, $xaxp, and $yaxp parameters but the background color for the grouped data plot is grey while the linear model plot has a white background. When I've tried par(bg = "white") prior to

Hi, I'm newbie with R and don't really know how to add a median line to each of the groups that is not all the plot long. Here is a small working code that i have adapted for my purpose. If somebody could tell me how to draw median lines on each group and not all plot long. ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14) trt <-

I am trying to make a decision tree using rpart. The function runs very quickly considering the size of the data (1742, 163). When I call the summary command I get this: > summary(bookings.cart) Call: rpart(formula = totalRev ~ ., data = bookings, method = "class") n=1741 (1 observation deleted due to missingness) CP nsplit rel error 1 0 0 1 Error in yval[, 1] :

dear R-help, i have looked carefully through the R-help archives for information on how to suppress whiskers in a bwplot. someone asked this question a while ago, but the answer he received is not available in the archives. but i did manage to get my hands on a panel function (called "my.panel") that is supposed to do this (the function is reproduced at the end of the email, below).

Hi R users, I am new to using DBMS with R for large datasets. Thanks to all who responded with useful suggestion to my earlier postings about using large datasets and DBMS with R. I am writing to get some help about how to design good tables in DBMS to take full advantage of the wonderful built-in facilities in R, like labels. I am using RMySQL client. Because R makes good use of variable