similar to: what is this warnings ?

Hi My code is as following: #include <R.h> #include <Rinternals.h> //* the Projector part *// void Projector(double *L, int *dimL, double *G, int *dimG, double *W, int *dimW, int *xymod, int *dimxy, double *modif, int *dimif, double *Lsum) { ...} //* the interface part *// #define getDim(A) INTEGER(coerceVector(getAttrib(A,R_DimSymbol), INTSXP)) SEXP Projector5(SEXP L, SEXP G,

Hi I've written the following program: #include <R.h> #include <Rdefines.h> #include "Projector.h" SEXP Projector2(SEXP L, SEXP G, SEXP W, SEXP xymod, SEXP modif){ int nprot=0; PROTECT(L=AS_NUMERIC(L));nprot++; PROTECT(G=AS_NUMERIC(G));nprot++; PROTECT(W=AS_NUMERIC(W));nprot++; PROTECT(xymod=AS_INTEGER(xymod));nprot++; PROTECT(modif=AS_NUMERIC(modif));nprot++;

Suppose I have an n-diml array A and I want to extract the first "row" -- ie all elements A[1, ...] Interactively if I know 'n' I can write A[1,,,,,] with (n-1) commas. How do I do the same more generally, eg in a script? (I can think of doing this by converting A to a vector then extracting the approp elements then reshaping it to an array, but I wonder if there isn't a

Why the warning messages (2:4)? > x <- rexp(1000,0.2) > fitdistr(x,"exponential",list(rate=1)) rate 0.219824219 (0.006951308) Warning messages: 1: one-diml optimization by Nelder-Mead is unreliable: use optimize in: optim(start, mylogfn, x = x, hessian = TRUE, ...) 2: NaNs produced in: dexp(x, 1/rate, log) 3: NaNs produced in: dexp(x, 1/rate, log) 4: NaNs

Hi dear, I want to estimate d.f for Chi-squared distribution: est.chi[i,]<-c( fitdistr(as.numeric(data2[,i]),"chi-squared",start=list(df=1))$estimate)Warning message:In optim(x = c(7.86755, 7.50852, 7.86342, 7.70589, 7.70153, 7.58272, : one-diml optimization by Nelder-Mead is unreliable: use "Brent" or optimize() directly Who can help me to solve this problem? Best

Full_Name: Christina Merz Version: R version 2.5.0 (2007-04-23) OS: mingw32 Submission from: (NULL) (213.70.209.132) R> version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status

i am new to time series,whatever i know up till now,from that i have uploaded time series file & what to build arma model,but for that i want p & q values(orders) tell me how to calculate best p & q values to find best AIC values for model i am doing but giving error >bhavar<-read.table(file.choose()) #taking time series file > decompose(bhavar$V1) Error in

> h<-array() > h [1] NA > append(h,9) [1] NA 9 but what it append......... > h [1] NA -- View this message in context: http://r.789695.n4.nabble.com/how-to-append-element-at-last-position-in-array-dynamically-tp4427893p4427893.html Sent from the R help mailing list archive at Nabble.com.

how to avoid writing index of variable in write.table command, e.g. output---> index,character,state "1" "M" "2" "2" "K" "3" "3" "R" "1" "4" "E" "1" "5" "S" "1" "6" "H" "1" "7" "K" "1"

i m searching on net,material related to R, whenever i get ppt presentation of some topic ,i found it in speical format white backgroud & blue bars,having links for further topics see link 1) https://www.rmetrics.org/files/Meielisalp2007/Presentations/Pfaff.pdf 2)http://grapevine.com.au/~yanchang/docs/Time-Series-Mining-slides.pdf If this is format,how can i made it,if i want to give my R

i have following numbers 0.889046409368551 1.22726162946495 1.22726162946495 1.35785109728356 1.35785109728356 1.10704609982913 1.4424189950435 1.2277843378837 1.35785109728356 0.970883941918588 0.822170913920467 1.35785109728356 0.358815782262543 0.774234247460432 0.822170913920467 0.822170913920467 0.72599976881814 0.671583894425946

Goodday, First my network layout: dsl router (10.0.0.99) | server (eth0 10.0.0.1, eth1 10.0.1.10) | 3 times windows machine (10.0.1.2, 10.0.1.3, 10.0.1.4) (all with proxy settings 10.0.1.10:8080) Now on the server is mandrake 10 installed with shorewall as firewall. And a apache webserver (and no ftp server). When i turned internet sharing on it started squid which added a line in the

i can see source code of function > cor function (x, y = NULL, use = "everything", method = c("pearson", "kendall", "spearman")) { na.method <- pmatch(use, c("all.obs", "complete.obs", "pairwise.complete.obs", "everything", "na.or.complete"))

i have > x [1] 1 2 3 4 5 6 > y [1] 34 5 6 > z<-cbind(x,y) > z x y [1,] 1 34 [2,] 2 5 [3,] 3 6 [4,] 4 34 [5,] 5 5 [6,] 6 6 i don't want recycling, instead can we put NA /0 like below> z x y [1,] 1 34 [2,] 2 5 [3,] 3 6 [4,] 4 NA [5,] 5 NA [6,] 6 NA & want distance matrix -- View this message in context:

i have uploaded file,but when i am opening it in R,using > u<-file(file.choose(),"r") >k<-readLines(u) >k > k[1:120] is has all /t (tabs)& newlines, how to avoid it, can i take first 3 columns only in table form (lines starts with # not important for me) uploaded file:- http://r.789695.n4.nabble.com/file/n4577757/rabata.txt rabata.txt -- View this message in

i have data in one file below like & (i have such type of file =200,each file have below type of data) >t -0.15264004 0.056076439 -0.07276116 -0.00917326 -0.02069089 -0.00416232 -0.07225855 -0.02654577 -0.06131410 -0.09380202 0.057414014 -0.05239976 0.014397612 0.016145161 -0.00670587 0.018696335 0.036943654 -0.02450233 0.031161705 0.006513503 -0.02892329 -0.00831519 -0.00877744

i want to compare two variables (having numbers) serially for matching/dismatching both having equal length > x [1] 2 2 1 2 3 2 2 2 2 3 3 2 2 2 2 2 2 3 2 2 2 2 2 2 2 2 2 2 3 2 3 2 2 2 1 2 2 [38] 2 2 2 3 2 3 2 2 1 2 2 2 2 1 1 1 3 2 2 2 2 1 1 3 1 1 1 2 2 2 3 2 3 3 3 2 2 [75] 2 2 3 2 2 1 1 1 2 3 2 2 2 2 2 2 2 2 2 1 1 3 2 2 2 2 2 2 2 2 2 2 2 1 3 > y [1] 2 2 2 1 3 1 3 2 1 3 3 3 3 2 2 1 2 3

i am new to time series i found in help about arima arima(x = data, order = c(p, d, q)) what is exactly p,d,q? if i not changed them,what effects will happens? -- View this message in context: http://r.789695.n4.nabble.com/what-is-p-d-q-in-arima-function-of-time-series-tp4484368p4484368.html Sent from the R help mailing list archive at Nabble.com.

i want hash like A : 1.2, 3.4, 4.5 B : 9.7, 5.6, 4.8 C : 3.4 ,5.7, 4.6 where A key contain all three value at right sight how to append single keys & values if i have predefined hash with known length -- View this message in context: http://r.789695.n4.nabble.com/how-to-make-hash-append-element-if-i-want-following-condition-tp4409761p4409761.html Sent from the R help mailing list

when i am installing Rmysql packages i get error like Warning in install.packages : package ?RMySQL? is not available (for R version 2.15.0) which is earliest version should i used ?how should i know the specific version -- View this message in context: http://r.789695.n4.nabble.com/problem-in-downloading-RMySQL-pkg-tp4645967.html Sent from the R help mailing list archive at Nabble.com.