similar to: Title splitting function

Introduction: We would like to add new keyword to 'sdiv'\'udiv' instructions i.e. 'no-overflow'. This is the updated solution devised in the discussion: http://lists.llvm.org/pipermail/llvm-dev/2017-October/118257.html The proposed keywords: "nof" stands for 'no-overflow' Syntax: <result> = sdiv nof <ty> <op1>,

Hi All, Newbie question for you all but i have been looking at the archieves and the help dtuff to get a rough idea of what i want to do I would like to merge two dataframes together based on a keyed variable in one dataframe linking to the other dataframe. Only some of the cases will match but i would like to keep the others as well. My dataframes have 67 and 28 cases respectively and i would

Another newbie question. I've written a function and saved the file as Xtabs.R, in a central place on a network so others will be able ot use the function, My question is how do i call this function? I've tried to chance the working directory, and tried to load it via; > library(Xtabs, lib.loc="//filer/common/technical/surveys/R_test") but neither seem to work? the function

Dear all, Suppose I have a dataset like below, then I take for example, 100 random sample "class" variable where contains "yes" and "no" respectively, 70% and 30%. I need a new 100 random sample from mydat dataset, but I can't get the result. Thanks you very much for any helps. Best, Muhammad Subianto mydat <- data.frame(size=c(30,12,15,10,12,12,25,30,20,14),

Hi All, I'm trying to split my dataset, into multiple datasets that i'll analyse later, i wanted to do this dynamically as i might need to rerun the code later. I was looking at doing this via a loop, (Are other methods more appropriate? Would a function be better?) However i'm not sure in R how do do string replacement within the loop in order to create unique dataset names based on

Hi All, I'm trying to run nls on the data from the study by Marske (Biochemical Oxygen Demand Interpretation Using Sum of Squares Surface. M.S. thesis, University of Wisconsin, Madison, 1967) and was reported in Bates and Watts (1988). Data is as follows, (stored as mydata) time bod 1 1 0.47 2 2 0.74 3 3 1.17 4 4 1.42 5 5 1.60 6 7 1.84 7 9 2.19 8 11 2.17 I then

Hi All, I've been having a little trouble using R2HTML and a loop, but can't figure out where the problem lies, any hints gratefully received. My code at the minute, (Which does work) is in the following: library(R2HTML) HTMLStart(outdir = file.path("C://Example_work","R_projects","Dynamic_creative"),filename = "RMDC_mockup",Title="Mock up for

Hi All, i have a dataset that i want to dynamically inspect for the number of variables that start with "Exposure_" and then for these count the entries across each case i.e ID Exposure_1 Exposure_2 Exposure_3 1 y y y 2 y y - 3 y - - So the corresponding new variables

Hi All, I'd like to see the function code behind the barplots2() function in the gplots package, however i come across a bit of a stumbling block of a hidden function, can anyone help? > library(gplots) > methods(barplot2) [1] barplot2.default* Non-visible functions are asterisked > barplot2 function (height, ...) UseMethod("barplot2") <environment:

I'm having trouble creating a looping variable and i can't see wher ethe problem arises from any hep gratfully appreciated First create a table x<-table(SURVEY$n_0,exposed) > x exposed False True Under 16 24 1 16-19 68 9 20-24 190 37 25-34 555 204 35-44 330 87 45-54 198 65 55-64 67 35 65+

Hi All, I've been trying to compare if the previous value in a variable is equal to a binary value..(i.e i want to check if the last event was a yes or no) i've been trying to write some code for this, but it seems overly elaborate, can anyone suggest a better / shorter / neater way? The below doesn't quite work but shows my idea of splitting by the factor id, then creating a new

Quick question - if i want to separate a long string of text, separated by single carriage returns, into an array of paragraphs, I can use the following code: paragraphs = article.content.split("\n") The "\n" means a carriage return, as far as I can tell. If I wanted to take text, that had been written using the more common double carriage returns, into an array of

With a has_one/belongs_to relationship, what''s the best way to guarantee that the belongs_to object gets created and is accessible alongside the has_one object? I *think* the after_create callback is a good choice, but I discovered an oddity while trying it. F''rinstance, if every horse has a carriage: ============ ActiveRecord::Schema.define do create_table(:horses) {|t|

Hi All, I've a couple of questions i've been struggling with using the time features, can anyone help? sample data Timestamp user_id 27/05/08 22:57 763830873067 27/05/08 23:00 763830873067 27/05/08 23:01 763830873067 27/05/08 23:01 763830873067 05/06/08 11:34 763830873067 29/05/08 23:08 765253440317 29/05/08 23:06 765253440317 29/05/08 22:52 765253440317

Hi, I'm hoping someone has a suggestion for handling a simple problem. A client gave me a comma separated value file (call it x.csv) that has an id and name and address for about 25,000 people (25,000 records). I used read.table to read it, but then discovered that there are stray carriage returns on several records. This plays havoc with read.table since it starts a

Colleagues, I am using R 2.4.0 on both a Mac (10.4.8) and Linux (RedHat 9). To read data from an Excel spreadsheet, I do "save as" in Excel, then select the "Text (tab-delimited)" format. The resulting file uses a tab separator and I can usually read the file using read.delim. Sometimes, the header row contains embedded carriage returns. When I view the file,

Hope this is not too trivial I am reading a large file using scan. In one part of this file there is a chunk of text within which i need to know the positions of line breaks. But scan seems only An example of the file is: " a 0 1 0 bftt 020 cftt T 1 R a 0 1 2 1 2 b 0 1 2 2 2 c 0 10 00 " so precisely i need in the scanned file in R to know where each carriage return is in the file

Hi All, I have a problem trying to forecast using the dlm package, can anyone offer any advise? I setup my problem as follows, (following the manual as much as possible) data for example to run code CostUSD <- c(27.24031,32.97051, 38.72474, 22.78394, 28.58938, 49.85973, 42.93949, 35.92468) library(dlm) buildFun <- function(x) { dlmModPoly(1, dV = exp(x[1]), dW = exp(x[2])) } fit <-

Hi All, Newbie question that i'm sure is easy, but i can't seem to apply properly I read in a datafram from a CSV file and i want to tell R that from coloum "n_0" to "n_32" the value "-1" is missing data i was looking at the is.na(xx) <- c(..,...,) idea but i can't seem to apply it properly, can anyone offer advice? On a side issue while i'm

From: Christian Hesse <mail at eworm.de> Logging to stderr results in line endings being terminated with carriage return (\r) and new line (\n). While this is fine for terminals it may have undesired effects when running from crond and logging to syslog or similar. I run ssh from cron on an recent linux host. Viewing logs with journalctl I see: Sep 06 16:50:01 linux CROND[152575]: [96B