similar to: help.search and indexing

Dear expeRt, I would like to know whether a function similar to str_replace() in php exists in R. Looking forward to hearing from you. Best, ========================================================= Center of Excellence for Science and Innovation Studies, Royal Institute of Technology Drottning Kristinas v?g 30 100 44 Stockholm, Sweden e-mail: donghoh at infra.kth.se, doriaba2 at

Dear UseRs, I would like to know the way to find classes of each column of data.frame(). Thank you in advance. ========================================================= Dong-hyun Oh Center of Excellence for Science and Innovation Studies Royal Institute or Technology, Sweden e-mail: oh.dongh at gmail.com cel: +46 73 563 45 22

Dear UseRs, I would like to know the way to create a new column by naming it simultaneously. For example, in for() loop I want to create columns named as paste("test", i, sep = ""), as shown below. ---------------------------- dt <- data.frame(a = c(1, 2, 3), b = c(3, 2, 2), c = c(1, 3, 5)) for(i in 1:2){ dt$as.name(paste("test", i, sep = ""))

Dear expeRts, I would simplify following code. --------------------------------------------- youtput <- function(x1, x2){ n <- length(x1) y <- vector(mode="numeric", length=n) for(i in 1:n){ if(x1[i] >=5 & x1[i] <= 10 & x2[i] >=5 & x2[i] <=10) y[i] <- 0.631 * x1[i]^0.55 * x2[i]^0.65 if(x1[i] >=10 & x1[i] <= 15 &

Dear useRs, I would like to know the way of deleting NA in list(). Following is a example. lt <- list(a = 1:3, b = NA, c = letters[1:3], d = NA) for(i in length(lt):1) { if(is.na(lt[[i]])) lt[[i]] <- NULL } How to simplify for() loop by using (l)apply family? Thank you in advance. ========================================================= Dong-hyun Oh Center of Excellence for

Dear useRs, I am trying to build my package (nonpareff) which deals with some models of data envelopment analysis. The building worked well, but checking complains when it tests examples. Zipped nonparaeff.Rcheck is attached. Following is the log. --------------------------------------------- arecibo:tmp arecibo$ R CMD build nonparaeff/ * checking for file 'nonparaeff/DESCRIPTION' ...

Dear useRs, I am trying to build my package (nonpareff) which deals with some models of data envelopment analysis. The building worked well, but checking complains when it tests examples. Zipped nonparaeff.Rcheck is attached. Following is the log. --------------------------------------------- arecibo:tmp arecibo$ R CMD build nonparaeff/ * checking for file 'nonparaeff/DESCRIPTION' ...

Hi useRs! I would like to know how to make aggregated data.frame with aggregate() tabulated. For example, I run the following command to aggregate re with respect to group1 and group2. > (aggr <- with(final, aggregate(re, group1, group2, mean))) Group.1 Group.2 x 1 1992 15 0.16392 2 1993 15 0.15467 3 1994 15 0.15456 4 1995 15 0.15391

Hi, my data set is data.frame(id, yr, y, l, e, k). I would like to estimate Lee and Schmidts (1993, OUP) model in R. My colleague wrote SAS code as follows: ** procedures for creating dummy variables are omitted ** ** di# and dt# are dummy variables for industry and time ** data a2; merge a1 a2 a; by id yr; proc sysnlin maxit=100 outest=beta2; endogenous y; exogenous l e k

Dear UseRs, I would like to know the created time and date of specific object. Is there any function for it? Thank you in advance. Sincerely,

Dear UseRs, I wrote the following function to use MLE. --------------------------------------------- mlog <- function(theta, nx = 1, nz = 1, dt){ beta <- matrix(theta[1:(nx+1)], ncol = 1) delta <- matrix(theta[(nx+2):(nx+nz+1)], ncol = 1) sigma2 <- theta[nx+nz+2] gamma <- theta[nx+nz+3] y <- as.matrix(dt[, 1], ncol = 1) x <- as.matrix(data.frame(1,

Dear UserRs, I draw filled contour plot with filled.contour function. By default, colors of filled.contour is terrain.colors which alters from green (the lowest level) to white (the highest level). I want the colors to alter from white (the lowest level) to green (the highest level). How can I set this color levels? Thanks in advance.

Hi, my data set is data.frame(id, yr, y, l, e, k). I would like to estimate Lee and Schmidts (1993, OUP) model in R. My colleague wrote SAS code as follows: ** procedures for creating dummy variables are omitted ** ** di# and dt# are dummy variables for industry and time ** data a2; merge a1 a2 a; by id yr; proc sysnlin maxit=100 outest=beta2; endogenous y; exogenous l e k

Dear UseRs, I wrote following function in order to solve Data Envelopment Analysis. Reason for posting is that the function is slow when nrow(dat) is large. I wonder if other functions could substitute the for() loop in the code, such as mapply(). Can anybody help to rewrite the dea() function as efficiently as possible? The code is as follows:

Hi there, As you know, $HOME is generally located at "/home/$username" by default. I would like to re-locate all users' $HOME directories to something like "/export/home/$username" without having a hassle/trouble. Initially, I've thought of just copying them to the new directory (under /export/home/xxx), but guessed it might trouble for the normal use (I'm pretty

On Thu, 24 Aug 2023 08:36:45 +0100, Lee Jones wrote: > This set is part of a larger effort attempting to clean-up W=1 > kernel builds, which are currently overwhelmingly riddled with > niggly little warnings. > > Cc: Alex Deucher <alexander.deucher at amd.com> > Cc: amd-gfx at lists.freedesktop.org > Cc: Ben Skeggs <bskeggs at redhat.com> > Cc: "Christian

Hi, On Thu, Aug 24, 2023 at 10:59:54AM +0200, Maxime Ripard wrote: > On Thu, 24 Aug 2023 08:36:45 +0100, Lee Jones wrote: > > This set is part of a larger effort attempting to clean-up W=1 > > kernel builds, which are currently overwhelmingly riddled with > > niggly little warnings. > > > > Cc: Alex Deucher <alexander.deucher at amd.com> > > Cc:

Dear UseRs, I would like to know which function is the most efficient in finding convex hull of points in 3(or 2)-dimensional case? Functions for finding convex hull is the following: convex.hull (tripack), chull (grDevices), in.chull (sgeostat), convhulln (geometry), convexhull.xy (spatstat), calcConvexHull (PBSmapping). I also would like to know if there is a function that can be used

how to realize the following SQL command in R? select distinct A, B, count(C) from TABLE group by A, B ; quit; Best Regards --------------------------------- Sponsored Link Get a free Motorola Razr! Today Only! Choose Cingular, Sprint, Verizon, Alltel, or T-Mobile. [[alternative HTML version deleted]]

Hello all and thanks in advance for any help or direction. I have co-authorship data that looks like: Paper Author Year 1 SmithKK JonesSD 2008 2 WallaceAR DarwinCA 1999 3 HawkingS 2003 I would like: Paper Author Year 1 SmithKK 2008 1 JonesSD 2008 2