search for: tmrsg11

Hi everyone, I am using package knitr, FIRST TIME. I don't have access to RStudio. Read through Yihui's page, didn't find it helpful. Stuck on terms Rnw, GFM (GitHub Flavored Markdown). Never used Sweave, so the reference is not helping. Is there a simple step-by-step example WITHOUT RStudio? My question: What is the procedure? The documentation explains the functions, but does

Dear list, I was curious how to subtract a vector from matrix? Say, I have mat <- matrix(1:40, nrow=20, ncol=2) x <-c(1,2) I want, x-mat[1,] and x-mat[2,], and so on... Basically, subtract column elements of x against column elements in mat. But x-mat won't do it. Thanks, Mike [[alternative HTML version deleted]]

.... 1 cap-shape=flat cap-shape=knobbed [1,] . . [2,] . . [3,] . . [4,] . . [5,] . . On Fri, Oct 20, 2017 at 3:51 PM, C W <tmrsg11 at gmail.com> wrote: > Thank you for your responses. > > I guess I don't feel alone. I don't find the documentation go into any > detail. > > I also find it surprising that, > > > object.size(train$data) > 1730904 bytes > > > object.size(as.matrix(...

...0904 bytes > object.size(as.matrix(train$data)) 6575016 bytes the dgCMatrix actually takes less memory, though it *looks* like the opposite. Cheers! On Fri, Oct 20, 2017 at 3:22 PM, David Winsemius <dwinsemius at comcast.net> wrote: > > > On Oct 20, 2017, at 11:11 AM, C W <tmrsg11 at gmail.com> wrote: > > > > Dear R list, > > > > I came across dgCMatrix. I believe this class is associated with sparse > > matrix. > > Yes. See: > > help('dgCMatrix-class', pack=Matrix) > > If Martin Maechler happens to respond to this...

Hi list, I am writing a for loop that looks like this: samples<-rep(NA,10) x <- rep(c(111, 225), 5) for(i in 1:10){ If(x[i]<200){ samples[i] <- x[i] }else{ i=i-1 } } The problem is that the returning vector still contains NA, I think the i in "else" is not getting subtracted. How should I get it to work? Thanks, Mike [[alternative HTML version

>>>>> C W <tmrsg11 at gmail.com> >>>>> on Fri, 20 Oct 2017 15:51:16 -0400 writes: > Thank you for your responses. I guess I don't feel > alone. I don't find the documentation go into any detail. > I also find it surprising that, >> object.size(train$dat...

Dear R list, I came across dgCMatrix. I believe this class is associated with sparse matrix. I see there are 8 attributes to train$data, I am confused why are there so many, some are vectors, what do they do? Here's the R code: library(xgboost) data(agaricus.train, package='xgboost') data(agaricus.test, package='xgboost') train <- agaricus.train test <- agaricus.test

Dear list, I am trying to look at the function inside a package. I know that methods() would do the trick, but what if the function is hidden? I have a problem displaying the hidden function. Say, for example the MCMC package. How do you view the code of that function? something like this: > which function (x, arr.ind = FALSE, useNames = TRUE) { wh <- .Internal(which(x)) if

Dear list, I am trying to plot histogram of a 10 by 5 matrix by columns. What is a good way to paste the column names? dput(a) structure(c(0.891856482875103, 0.249593821948295, 0.0385066520473322, 0.109098868876336, 0.238035894186719, 0.971470380855763, 0.168018536530906, 0.941457062296419, -0.285381460315397, -0.0229335863796271, -20138.175683257, 28190.7238887329, 8521.44473371867,

> On Oct 21, 2017, at 7:50 AM, Martin Maechler <maechler at stat.math.ethz.ch> wrote: > >>>>>> C W <tmrsg11 at gmail.com> >>>>>> on Fri, 20 Oct 2017 15:51:16 -0400 writes: > >> Thank you for your responses. I guess I don't feel >> alone. I don't find the documentation go into any detail. > >> I also find it surprising that, > >>> obj...

Dear list, I want the 1st, 2nd, 5th, and 6th columns of mtcars. After copying them, the columns become numeric class rather than data frame. But, when I copy rows, they data frame retains its class. Why is this? I don't see why copying rows vs columns is so different. > class(mtcars) [1] "data.frame" > head(mtcars) mpg cyl disp hp drat wt qsec vs

Hi list, I am looking at the data yarn in package, I don't understand what is dimension of this data set. I did the following: > library(pls) > data(yarn) > dim(yarn) [1] 28 3 > head(yarn) NIR.1 NIR.2 NIR.3 NIR.4 NIR.5 NIR.6 NIR.7 NIR.8 NIR.9 NIR.10 NIR.11 1 3.06630 3.08610 3.10790 3.09720 2.99790 2.82730 2.62330 2.40390 2.19310 2.00580 1.83790 2

> On Oct 20, 2017, at 11:11 AM, C W <tmrsg11 at gmail.com> wrote: > > Dear R list, > > I came across dgCMatrix. I believe this class is associated with sparse > matrix. Yes. See: help('dgCMatrix-class', pack=Matrix) If Martin Maechler happens to respond to this you should listen to him rather than anything I wr...

Dear all, I get an error using the return function. The following is a simpler version. for (j in 1:10) { samples = 5*j return(samples) } Error: no function to return from, jumping to top level Similar warning happens with if statement. Why do I get an error? print() works fine. I don't see anywhere in the documentation says that return() is not allowed inside for loop. I know

Hi List, I have one column of beginning dates and one column of ending dates, I want to find their difference. And I want to ignore the trailing zeros, basically everything after the first colon mark. Begin_date End_date 01JAN2000:00:00:00:000 02FEB2002:00:00:00:000 24MAR2012:00:00:00:000 18MAY2012:00:00:00:000 01OCT2003:00:00:00:000

Hi list, Could anyone recommend some good website for formatting R code? For example, when you copy paste R code to gmail and back to R, it loses its format, the dash symbol causes errors. I've had someone used it to format my code here on the list, but can't find it anymore. Mike [[alternative HTML version deleted]]

Hi list, I am trying to calculate the sensitivity, specificity, and odds ratio(and confidence interval). Say, my data looks like this 42.53, 37.56, 40.51, 32.67, 38.19, 81.74, 41.55, 68.94, 59, 63, 54.13, 48.85, 50.46, 51.78 Is there any packages in R that does this? Espeically the odds ratio confidence interval. Mike [[alternative HTML version deleted]]

Hi, list I am doing 100,000 iterations of Bayesian simulations. What I did is I split it into 4 different R sessions, each one runs 25,000 iteration. But two of the sessions gave the simulation result. I did not use any set.seed(). What is going on here? Thanks, Mike [[alternative HTML version deleted]]

Hi R list, I imported values from Excel, there is a column with numbers like 45%, 65%, 12%. I want to find its mean. What should I use? strisplit() split() parse() Data from dput(), structure(c(78L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("", "-0.15%", "-0.34%", "-1.3%", "-10.77%", "-100.00%", "-11.45%",

Hi list, I am writing several functions and running out variable names. I am using words such as "t", "c", "matrix" to keep the notation same as formulas I am using. For example I have, unnormalized <- function(t, x, y){ val <- rnorm(t, mean=x, var=y) return(val) } metropolis <- function(t, c, x, y){ den1 <- unnormalized(t, mean=x, sd=y)