similar to: rnorm() converted to daily

#this is a daily series of precipitation data. I would like to condense it into weekly means. How can I do this #as a side note I would like to do this same thing to two years worth of fifteen minute interval data and make it into #a series of daily averages (there are 96 readings per day) #is aggregate the right function? or... y <- c(1.23, 0, 0, 0, 0, 0, 0, 0, 0, 0.27, 0, 0.29, 0, 0, 0,

Dear Experts, I have a data object named "data.char". When I use cbind(data.char) in SPlus, I got the following results: > cbind(data.char) data.char data matrix, 2700 excluded list, 3 cluster.var character, 2 strata list, 3 xlog CT link logit gpcorr 1 missing.row numeric, 0 zero.row numeric, 22 infile perc.csv attr(,

Dear R users, I am using v2.0.1 on Windows 2000. I have read a ".dat" file with several vectors, including 2 factors (2 levels x 3 levels), and a vector of responses, into R. There are no unique row names. When I try plot(x,y) or lm(y~x) the following error is returned: Error in model.frame(formula, rownames,...extranames: variable lengths differ What am I doing wrong? I am a

Hi R users This looks a simple question Is there any difference between between rnorm(1000,0,1) and running rnorm(500,0,1) twice in terms of outcome ? TM

First: R core: (Thank You!)^HUGE_VAL Now, down to business: In a loop or in repeated command lines: system.time(lm(rnorm(1000)~rnorm(1000))) ( or lm(rnorm(1000)~rnorm(1000))$coef ) fails after several iterations with the Windows message 'This program has performed an illegal operation and will be shut down. If the problem persists, please contact the vendor'. clicking on DETAILS

I've been trying to generate a series of random normal distributions using the rnorm function. After I generated the first set: set1<-rnorm(150, 505.5, 15.2) I checked the mean and standard deviation of set1. I was surprised to find the mean at 502.37 (rounded) and the standard deviation at 13.3 (again, rounded). While I know that it is unrealistic to expect the distribution of the

Thanks to all who replied to my query about the "normality" of rnorm. I am using R 1.1.1 (the version released last week) under Windows 98. It has been unusually hot here and I noticed that the CPU fan seemed to be running at high speed for a long time. The CPU probe that I use to monitor the temperature emitted a warning shortly after I sent off the email. After shutting my

Hello everyone! I want to create a data vector using the "rnorm" command. Let's say /x <- rnorm(100, 1, 2)/. This gives me 100 values from the specific normal distribution. However, I want to generate a variable that has a certain range of values, e.g. values can't exceed the interval /[-3.7; 3.7]/. How can I implement such an interval? Thanks for your help and sorry if

How can a random result be reproducible? You could have told us the seed in use! I've tried this ten times without a crash, on two separate machines, one XP and one 2000. On Fri, 26 Jul 2002 Mike.Prager@noaa.gov wrote: > I am experiencing a reproducible crash from the following statement: > > plot(density(rnorm(1000))) > > on R 1.5.1 on Windows 2000. > > This is a

Full_Name: Josh McNutt Version: 2.2.1 OS: Win XP Submission from: (NULL) (192.88.209.232) > which(is.na(rnorm(20000000))) [1] 15242377 > which(is.na(rnorm(10000000))) [1] 3692029 > which(is.na(rnorm(40000000))) [1] 5560337 5938719 33888822 > which(is.na(rnorm(50000000))) [1] 25231754 42397181 45085564 45363557

Hi, I couldn't get the rnorm() work right in C, for example, the following code produce strange results. #include <stdio.h> #include <Rmath.h> int main(void){ double x[3]; for(int i=0;i<3;i++) x[i]=rnorm(0,1); printf("%lf,%lf,%lf",x[0],x[1],x[2]); return 0; } output : -8.773321,-8.773321,-8.773321 compiling script: gcc -std=gnu99 -Wall

I need to generate good quality of random numbers from univariate normal distribution for further transformation. I tried rnorm in R but it was not good sometimes. Someone said C++ standard library or Fortran's built-in functions for that are good. I found that there is double norm_rand() in R-extension. Does this function, norm_rand() use the same algorithm as rnorm in R or something similar

On Fri, Oct 5, 2018 at 2:07 PM hmh <hugomh at gmx.fr> wrote: > > On 05/10/2018 10:28, Annaert Jan wrote: > > you discard any time series structure; > But that is PRECISELY what a call a bug: > There should not be any "time series structure" in the output or rnorm, > runif and so on but there is one. > > rnorm(N,0,1) > should give on average the same

> Nope. > This IS a bug: > The negative auto-correlation mostly disappear when I randomize small samples using the R function 'sample'. > Please check thoroughly the code of the 1st mail I sent, there should be no difference between the two R functions I wrote to illustrate the bug. > The two functions that should produce the same output if there would be no bug are

How many distinct values can rnorm return? I assume that rnorm manipulates runif in some way, runif uses the Mersenne Twister, which has a period of 2^19937 - 1. Given that runif returns a 64 bit precision floating point number in [0,1], the actual period of the Mersenne Twister in a finite precision world must be significantly less. One of the arguments for Monte Carlo over the bootstrap is

Dear colleagues I found duplicate coordinates trying to convert a dataframe object (see the attached file) into a geodata one ('geoR' package is needed). My dataframe object consists of 2 columns with UTM geographical coordinates and a 3rd column with fish densities . To overcome the handicap I must add a tiny value generated by rnorm() to each geographical coordinate. And it must be in

Hi I want to simulate random numbers normal distributed with this size (2000,10000). I tried this but my computer exhaust there is a fast way to make it? randz<-matrix(rnorm(2000000),2000,10000) [[alternative HTML version deleted]]

Dear Sir/Madam: I am sorry if this is a simple question. I have downloaded the source code for R but could not find the source file that has the rnorm function definition. Could you please let me know which file has the function? Also, in general, how do I find the source file of a given function? Thanks. Yue Zhang, CFA Cohen & Steers Capital Management, Inc. 280 Park Ave., 10th Floor New

Hello, I use the command rnorm, and I feed these results into a lmer command. Since I am using the rnorm command I expect to get different results for each iteration, yet for each iteration I am getting the same answer. If someone understands why I am getting the same answer every time with a random number generator, I would appreciate help in understanding why this is happening. Is the lmer

Dear colleague, unfortunately 'rnorm' does not create normal distributed numbers as you can see with following histogramm: > hist(rnorm(1000000),breaks=100) and > hist(pnorm(rnorm(1000000)),breaks=100) I have done several chi^2-tests which have all failed: > chi2unif<- function(x,N) > { > anz=length(x) > f0<-rep(anz/N,times=N) >