similar to: vector name

Hi, I encountered a problem when I am trying to write my own function which contains another function. To simplify a problem, I tried the following simplified function, hope someone can idenfity the problem for me. I have a simple data frame called "testdata" as following: >

Hi All, I am trying to make a loop for a function and I am using the following codes. "p" and "var" are some matrix obtained before. I would like to apply the function "gpdlow" for i in 1:12 and get the "returnlow" for i in 1:12. But when I ask for "returnlow" there are warnings and it turns out some strange result. for (i in 1:12){ gpdlow

Hello, I would like to fit a linear regression and when I use summary(), I got the following result: Call: lm(formula = weight ~ group - 1) Residuals: Min 1Q Median 3Q Max -1.0710 -0.4938 0.0685 0.2462 1.3690 Coefficients: Estimate Std. Error t value Pr(>|t|) groupCtl 5.0320 0.2202 22.85 9.55e-15 *** groupTrt 4.6610 0.2202 21.16 3.62e-14

Hello, I have programmed in PHP a lot, and wanted to know if anyone figured out Variable variables using R. For example, I have several dataframes of unequal sizes that relate to L treatments (1, 2, 3, 4, 5,6, L) ... in this case L=7 fData.1 unique.1 fit.nls.1 summary.nls.1 fit.var.1 summary.var.1 ..... fData.2 unique.2 fit.nls.2 summary.nls.2 fit.var.2 summary.var.2 ..... fData.L unique.L

Hi everyone, I understand the process of obtaining the internal integer codes for the raw values of a factor (using as.numeric() as below), but what is the best way to obtain these codes for the levels() of a factor (since the as.numeric() results don't really make clear which code maps to which level)?

Hi, I would like to generate a series in the following form (0.8^1, 0.8^2, ..., 0.8^600) Could anyone tell me how can I achieve that? I am really new to R. -- View this message in context: http://www.nabble.com/sequences-tf4019146.html#a11414836 Sent from the R help mailing list archive at Nabble.com.

hello all i am having a problem in compiling openh323. [root@kamran openh323]# ./configure checking for g++... g++ checking for C++ compiler default output... a.out checking whether the C++ compiler works... yes checking whether we are cross compiling... no checking for suffix of executables... checking for suffix of object files... o checking whether we are using the GNU C++ compiler... yes

Hello, I am using the following codes to plot a histogram and density line for x. For the density line, I just want it to show the two tails, eg, for x larger than 0.05 ans smaller than -0.05 hist (x, seq(-0.1,0.1,0.01),freq = FALSE) lines (density(x,bw="SJ"), x> 0.05 & x< (-0.05), col = "red") But is does not work, can anyone give me some advice? -- View this

Hello, I would like to perform a linear regression and the data is a list.e.g lm(list$abc~., data=list) or lm(abc~., data=list), which would give the same result. The problem is I would like to call the response variable in a more general form. What I try to achieve is sth like lm(list$(paste("a","b","c"))~., data=list), but it does not work. Could anyone give me

Hi, I am running simulations that does multiple comparisons to control. For each simulation, I need to model 7 nls functions. I loop over 7 to do the nls using try if try fails, I break out of that loop, and go to next simulation. I get warnings on nls failures, but the simulation continues to run, except when the internal call (internal to nls) of the chol2inv fails.

Hi Guys, I would like to weight column entries in a data frame by the population of each state. For example, here is some data: state statenum year income popul ALABAMA 1 1 9.703193 3973.00 ALABAMA 1 2 9.745950 3992.00 ALABAMA 1 3 9.762092 4015.00 ALASKA 2 1 10.221640 532.00 ALASKA 2 2 10.169600

Hello all, I would like to plot the emperical CDF, normal CDF and pareto CDF in the same graph and I amusing the following codes. "z" is a vector and I just need the part when z between 1.6 and 3. plot(ecdf(z), do.points=FALSE, verticals=TRUE, xlim=c(1.6,3),ylim=c(1-sum(z>1.6)/length(z), 1)) x <- seq(1.6, 3, 0.1) lines(x,pgpd(x, 1.544,0.4373,-0.2398), col="red") y

Hi All, I have a problem with rbind. I have data that consist of weight height .. etc of 1000 patients. I would like to find the mean and the standard deviation ( for the weight , height etc) for each gender. data<-read.table("data.txt", header=T, sep='\t') fdata=NULL for (i in 1:50){ nn<-names(X)[i] m<-tapply(X[,i],data$gender,mean,na.rm=T) s<-tapply(X[,i],

Hello I am trying to compile asterisk-oh323-0.7.0 with pwlib-Janus_patch4 and openh323-Janus_patch4 downloaded from inaccessnetworks so I did this: tar -zxvf openh323-Janus_patch4-src-tar.gz cd openh323 patch -p1 < /root/asterisk-oh323-0.7.0/openh323_1.13.5-make.patch ./configure make opt cd asterisk-oh323-0.7.0 vi Makefile (to set the paths and options according to my system...) NOW I

Hi there, When I compile my code with -fdata-sections and -ffunction-sections, I still see some unused string in my shared library (Android). Actually, the strings appear together inside a .rodata.str1.1 section instead of getting their own section. It seems that the C-string literal are considered differently than other constant and the -fdata-sections is not respected in

Hi, I am trying to write a function with the following codes and I would like it to return the values for "alpha beta para parab " seperately. Then I would like to use this funstion for "variable" with factor "a" and "b". But the result turns out to be a matrix with element like "Numeric,2" ... I guess they are just the values for

On 2020-09-16 00:18, Fangrui Song wrote: > Usually it is because nobody has noticed the problem or nobody is > motivated enough to fix the problems, not that they intentionally leave > a problem open:) I took some time to look at the problem and conclude > that clang should do nothing on this. Actually, with the clang behavior, > you can discard "Unused" if you use LLD.

Hi, I have a series of return data, a and b are factors. I would like to build a matrix which contains each vector of "returns". I am thinking about something as following, but I guess there should be a sensible way of doing this. returns <- split(return, list(regimef, assetf)) cbind(returns[[1]], returns[[2]],...,returns[[n]]) Could anyone give me some advice? Many thanks. --

Hello, I would like to use the cbind() function to construct a matrix used in the middle of a function as following for (i in 1:1000) { b[i] <- function(cbind(a[[1]][[i]], a[[2]][[i]],a[[3]][[i]],...a[[67]][[i]])) } Is there an easy way of achieving this rather than "cbind" every column? -- View this message in context: http://www.nabble.com/cbind%28%29-tf4724534.html#a13507633

Hello everyone, I would like to a linear regression with the following code. lm(a[,"fquamsci"]~., data=a) a is a list with class "mts" "ts" , and "fquamsci" is the name of the response variable in a. I would like to do a linear regression of "fquamsci" to the rest of the variables. But it turns out the "fquamsci" is also included in