similar to: Needed: Understading runif() output :-)

Dear all, There has been some time since I asked about interpolation in higher (>2) dimensions, and I must admit I failed to write a function to do this myself the last time, but eventually ended up doing it in MATLAB. I tried to translate the MATLAB code, but MATLAB code is so much more opaque than R (S) code, so I failed that too, mainly because I could only get one MATLAB session, I would

Dear all, I think I must be going crazy.... If I do > mean(rpois(1000000, 14)) I get: [1] 13.50420 and again: > mean(rpois(1000000, 14)) [1] 13.49896 > mean(rpois(1000000, 14)) [1] 13.50161 > mean(rpois(1000000, 15)) [1] 14.49250 > mean(rpois(1000000, 15)) [1] 14.49897 > mean(rpois(1000000, 14.5)) [1] 13.99689 > mean(rpois(1000000, 14.5)) [1] 13.9963 This was on a platform

Dear Sir / Madam, I am new for R coding. Kindly help me out in sorting out the following problem. There are 50 rows with six coloumns(you could see in the attached .txt file). I wish to go for filtering this 50 rows for any one of the six coloumns satisfying the value >= 64. I need to have a final table with rows having >= 64 value in any one of the six coloumns and the rest could be

Hello, I am facing a problem in drawing heat map using R. I have a 70X3 matrix and I want to draw a heat map with 1 coloumn on X axis another on Y axis and want to show the value of 3rd coloumn using heat colours. Could you please help me with this . Thank you . Regards, Sumit [[alternative HTML version deleted]]

Hi, I'm writing for a little help. I have a dataframe with same NA value and I'd like to obtain the means of the value of a coloumn grouped by the levels of a factor coloumn of the datframe. I'm using the function "tapply" but I see that if only a NA value is present the result is NA. There is an option to have the correct result or I must use an other function? Thanks of

Dear all, I have done further modifications on the histogram functions that I reported earlier this year, and I hope this can be of use and perhaps included in the distribution. I have been using this stuff a couple of months myself, and while it is nothing sophisticated, it has it's applications. :-) I did a few small modifications today to make it a bit more compact. I have modified the

I have some data measured with a coarsely-quantized clock. Let's say the real data are q<- sort(rexp(100,.5)) The quantized form is floor(q), so a simple quantile plot of one against the other can be calculated using: plot(q,type="l"); points(floor(q),col="red") which of course shows the characteristic stair-step. I would like to smooth the quantized

Hi to all, I'm new to this forum and new to R. I have to build a tree classifier that has boolean values as response. When I build the tree with: echoknn.tree <- tree(class ~ ., data=echoknn.train) where "class" is a coloumn of my dataset (echoknn.train) of boolean values, the result is a tree where leaf nodes are numbers in the range [0,1]; but this isn't the result that I

problem in starting xend I tried to install xen, but got some errors when starting xend. as I logged in and tried to start xend (/etc/init.d/xend start). I just got six-seven dot (.) printed out, then it stops. I looked more closely and found that xend could not start. then I looked at /var/log/xend-debug.log. here is the last few lines: ^^^    Exception starting Xend: no element found:

Hi, I need your help!! I imported a big coloumn vector from a txt file but it results as mode :"list" I want to change it in numeric otherwise I can't do my analysis. This is what i get: mode (data) <- "double" Error in eval(expr, envir, enclos) : (list) object cannot be coerced to type 'double' > Thanks a lot!!! Alessandra -- View this message in

Hi all, When trying to better understand the way LPC exactly works, I stumbled upon something which, after some digging, was already reported and (partly) fixed: https://sourceforge.net/p/flac/bugs/424/ Apparently, the FLAC specification has a LPC shift that can be both positive and negative, but the encoder specifically makes sure that only positive shifts are encoded and the decoder only

Refs http://sourceforge.net/p/flac/bugs/424/ --- doc/html/format.html | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/html/format.html b/doc/html/format.html index 8598941..2ce82c2 100644 --- a/doc/html/format.html +++ b/doc/html/format.html @@ -1578,7 +1578,7 @@ &lt;5&gt; </td> <td> - Quantized linear predictor coefficient shift needed

Hi, I'd like plot a bar graphic of a array. I'd like to have the values of the single columns as juxtaposed bars (like in "barplot" with beside=TRUE) and I'd like to have the values of the single columns expressed like percentage of the sum of the coloumn. In this way all the bars are composed by the sum of the percentage of the values of a coloumn (with different colors)

  Hello list, i have a very simple question about matrix assignment. i did like this. res<-1:30 dim(res)<-c(5,6) ind<-1:6 now i want to assign the value of this variable ind to first coloumn in matrix res. like res[,1]<-ind but this code is giving error , Actualy i have a for loop and value of ind variable is changing every time ,,total 6 times,,i want to assign every vlaue

To my knowledge, this has not been reported previously, and doesn't seem to have been changed in R-devel or R-patched. If M is a matrix with coloumn names, and mod <- prcomp(M) # or princomp then predicting a single observation (row) with predict() gives the error Error in scale.default(newdata, object$center, object$scale) : length of 'center' must equal the number of

I am having a similar problem understanding the data structure of the "yarn" dataset described in the "[R] data structure for plsr" posts. I have spectroscopic data I'd like to run through a PLSR and have read the tutorial series, but still do not understand the data format required for the code to process my data. My current data structure consists of a .csv file read into

Dear all, I started a large run this afternoon, and when I came back after dinner, three of five processes had stopped with the error message: Error in matrix(nullprofile, length(nullprofile), nprofiles) : Unimplemented feature in copyVector I have seen anything about this anywhere (and I don't know where to look...). As you might guess, I'm trying to make a matrix where the

Yes, this is such a case. However, implementing this in a future encoder/decoder would break compatibility with most (likely all) existing decoders, and only in some very, very rare cases where the material is such that the encoder chooses to use negative shifts, which makes it even harder to troubleshoot. Furthermore, as this can only be used in very rare cases, there is no benefit from allowing

Dear all, I'm writing a lgrind definition for R. Lgrind is a program to produce pretty program listings for inclusion in LaTeX documents. Does anybody here have any experience with lgrindefs? My definition now looks like this: R:\ :pb=^\d?\p\d<-\dfunction\(\a\):\ :bb={:be=}:cb=\d#:ce=$sb=":se=\e":lb=':le=\e':id=.:\ :zb=@:ze=@:tb=%%:te=%%:mb=%\$:me=\$%:vb=%\|:ve=\|%:\

Dear all, I'm writing a lgrind definition for R. Lgrind is a program to produce pretty program listings for inclusion in LaTeX documents. Does anybody here have any experience with lgrindefs? My definition now looks like this: R:\ :pb=^\d?\p\d<-\dfunction\(\a\):\ :bb={:be=}:cb=\d#:ce=$sb=":se=\e":lb=':le=\e':id=.:\ :zb=@:ze=@:tb=%%:te=%%:mb=%\$:me=\$%:vb=%\|:ve=\|%:\