similar to: Linear regression and stand deviation at the Linux command line

? Thu, 22 Aug 2024 13:07:37 -0600 Keith Christian <keith1christian at gmail.com> ?????: > I'm interested in R construct(s) to be entered at the command > line that would output slope, y-intercept, and r-squared values read > from a csv or other filename entered at the command line, and the same > for standard deviation calculations, namely the standard deviation, >

Dear R users, Is there the possibitily in R under X11 to get (after typing help(...) command) separate help window, as it is in Windows version? Best wishes, ================================= Dr. Alexey B. Shipunov Section of Molecular Systematics Jodrell Laboratory Royal Botanic Gardens, Kew, Richmond, Surrey, TW9 3DS, U.K. e-mail: a.shipunov at rbgkew.org.uk

Dear R experts, I have a matrix (from some sort of classification) like this: object group [1,] 1 1 [2,] 2 2 [3,] 3 1 [4,] 4 1 [5,] 5 3 And I need something like this: [,1] [,2] [,3] [,4] [,5] [1,] 1 0 1 1 0 [2,] 0 1 0 0 0 [3,] 1 0 1 1 0 [4,] 1 0 1 1 0 [5,] 0 0 0 0 1 where all

Dear list, I just made a very simple mistake, but it was hard to spot. And I think that I should warn other people, because it is probably so simple to make... === R code === # Let us create a matrix: (a <- cbind(c(0,1,1), rep(1,3))) # [,1] [,2] # [1,] 0 1 # [2,] 1 1 # [3,] 1 1 # That is a MISTAKE: a/colSums(a) # [,1] [,2] # [1,] 0.0000000 0.3333333

? Wed, 29 Nov 2023 00:29:49 +0000 Livio Beqiri <liviob at live.com> ?????: > how can i create a vertical barplot that displays brands in x-axis > and Revenue in Y-axis What have you tried? If you're not currently studying R with an instructor (who should be contacted with basic questions like this instead; see the posting guide at [1]), I can recommend a free book by A. Shipunov

I have a dataframe df <- df <- data.frame (Revenue = c("100", "300", "500"), Brand = c("Apple", "HP", "Lenovo") ) how can i create a vertical barplot that displays brands in x-axis and Revenue in Y-axis [[alternative HTML version deleted]]

I have experience block DDoS atacks. Contac White me in prived. If you have intereses. El mi?., 8 ene. 2020 8:45 p. m., Keith Christian <keith1christian at gmail.com> escribi?: > On Wed, Jan 8, 2020 at 5:37 PM H <agents at meddatainc.com> wrote: > > > I am being attacked by an entire subnet where the first two parts of the > > IP address remain identical but the

Dear all, I am highly disappointed of the following decision: === ... Starting with R 2.3.0, CRAN binaries support Mac OS X 10.4 (Tiger) and higher only. === Of course, === It is, however, possible to compile binaries for earlied OS X versions from sources. === But the process, described on http://cran.r-project.org/bin/macosx/RMacOSX-FAQ.html#Building-R-from-sources consists of more than

What is the meaning of the "4:", "2:", "30:" and "1:" prefixes for the following entries in yum.log? Most entries in yum.log don't have them. grep "Installed: [0-9]*:" /var/log/yum.log May 07 16:45:53 Installed: 4:perl-5.8.8-27.el5.i386 May 07 16:58:21 Installed: 2:xinetd-2.3.14-10.el5.i386 May 07 17:03:43 Installed:

Dear R wizards: [a] I believe that the pdf device does not yet fully support TeXencoding. (under R-2.2.0, the pdf file created with Textext as font encoding still dies when post-processed by ghostscript.) are there any workarounds, or are there utilities that would allow a TeXencoded font to be re-encoded/converted into ISOLatin, perhaps, which R could then handle beautifully? [b] is there a

A small number of columns in the data I need to work with are strings, the rest numbers. I'm using read_excel() from the readxl package to get the data ; right after it, the string columns are of type chr and the rest num. I'm tasked with finding out which columns are integers. From an advice, I tried saving the spreadsheet content into a CSV then loading that, which works like a charm ;

I am being attacked by an entire subnet where the first two parts of the IP address remain identical but the last two parts vary sufficiently that it is not caught by fail2ban since the attempts do not meet the cut-off of a certain number of attempts within the given time. Has anyone created a fail2ban filter for this type of attack? As of right now, I have manually banned a range of IP addresses

An update: Running this block of code: # Load libraries library(tcltk) library(tidyverse) library(officer) filepath <- setwd(tk_choose.dir()) filename <- "Now they want us to charge our electric cars from litter bins.docx" #full_filename <- paste0(filepath, filename) full_filename <- paste(filepath, filename, sep="/") if (!file.exists(full_filename)) { ?

Hi R friends, I havent asked a silly question in a long time so here it is: Reading the last issue of Stat Can J. there is an article in a single degree of freedom test for non aditivity of interactions in anova tables with 1 obs per cell. The authors claim it is more powerfull than Tukey but for the case of multiplicative interaction, which is the alternative studied by Tukey. I tried to

Dear all, is there an implemented function to compute a weighted standard deviation (-like weighted.mean-) in R ? Thank's a lot in advance Johannes Schnitzler

Hello, I am using urca package to run cointegration. I would like to find the standard error in the (normalized, Johansen) cointegration relationship. How can I do it? As far as I know, The function "cajorls" in the "urca" package provides the normalized cointegrating relationships. Nevertheless, it does not provide the standard deviation of the coefficient for each

Dear R-users, I have a data set where each observation consists of a number of trials (n.trials) that varies between 5 and 7, 6 being most common. Each trial can take either of two outcomes, success or failure. A dummy data set: n.trials <- sample(5:7, 50, replace=T, prob=c(0.2, 0.6, 0.2)) success <- rbinom(50, n.trials, p=0.5) failure <- n.trials - success I know I could test for a

Hi, Could anyone give suggestions how to plot a scatter plot with 1 standard deviation for each point. To make it clearer, here is a simple example: the scatterplot is plot(X, Y), but I want to add 1 standard deviation according to the value of Z for each Y. X Y Z 1 3.5 1.1 . . . . . . . . . Thanks a lot in advance. FD [[alternative HTML

I am trying to do logistic regression with a categorical predictor variable with the glm() function, family=binomial. Using glm() I would like to be able to calculate the confidence intervals of all three possible odds ratios for a factor (the factor has three categories). Three categories imply two columns of 0's and 1's in the design matrix, and two parameter estimates with their

Hi, I have a dataset of 78.903 news articles pertaining to 340 corporate takeovers. Mean 231.3871 [articles per takeover] Std. Dev. 673.6395 I would like to calculate the probability of a certain number of news articles if I had more takeovers available. How likely is it to have X articles if I had Y takeovers? How can I do that? Thank you very much, Michael