similar to: hist function: freq=FALSE for standardised histograms

Hello Every one I have data on Stock prices and I want to calculate the return on all the stocks and then replace all the stock prices with the returns can any one tell me how to do My data is in the format given below Date Stock1 Stock2 Stock3 01/01/2000 1 2 3 01/02/2000 5 6 7 01/03/2000 1 2 3 01/04/2000

Hi I have a data comprised of repeated measures of growth (5-15 records per individual) for 580 fish (similar to Orange dataset from nlme library). I would like to standardise these growth measures (yi – ŷ/sd) using mean and standard deviation unique to each fish. Can someone suggest a function that would help me do this? I’ve had a look at scale and sweep but can’t find a worked example that does

Dear R-users, I need to standardize residuals using standard deviation. Is the 'stdres' the proper function? Beside other methods (for standardization and normalization), are there some approaches how to standardize using standard deviation? Here is the sample of my residuals: Zres040 Zres0820 Sres040 Sres0820 PCres040 -2.101740 -2.0682900 1.6328500 0.5046730

Dear R experts---I am struggling with memory and speed issues. Advice would be appreciated. I have a long data set (of financial stock returns, with stock name and trading day). All three variables, stock return, id and day, are irregular. About 1.3GB in object.size (200MB on disk). now, I need to merge the main data set with some aggregate data (e.g., the S&P500 market rate of return,

I imported a spreadsheet into a variable sh e.g. sh$aaaa, sh$bbbb, etc... doing the following: tsSource <- ts(paste("sh$",NAMEVARIABLE,sep="") ... ) fails. The paste isn't evaluating properly. What is the proper way to concatenate a data source with a member name such that they evaluate properly. actual code below: doEnv <-

I am reading regressors from an excel file (I have no control over the file) and some of the element names have spaces: i.e. "Small Bank Aquired" but I have found that lm(SourceData ~ . - "Small Bank Aquired", mcReg) doesn't work (mcReg = modelCurrentRegressors) As they are toggles I have ran them through factor() to be treated propertly as 0 or 1 but due to the fact I

Hi, my name is Julio, I'm trying to run a script, specifically with the siar package on R (I have attached the script) but the program collapses on during the run. The error message says: *** caught segfault *** address 0xb31941cc, cause 'memory not mapped' Traceback: 1: .C("siarmcmcv4", as.integer(numdata), as.integer(numsources), as.integer(numiso),

Hello, I have a statistical problem that I am using R for, but I am not making sense of the results. I am trying to use multiple regression to explore which variables (weather conditions) have the greater effect on a local atmospheric variable. The data is taken from a database that has 20391 data points (Z1). A simplified version of the data I'm looking at is given below, but I have a

I am working on a script that takes numeric performance indicators and runs them against a series of regressors (dummy regressors, yes\no stuff via 0 and 1, e.g. Was is Christmas this week 0=no, 1=yes). The script is as follows (Written as a function): -- Begin Script -- doEnv <- function(HOUR,ENVNAME,REPORTNAME) { library(RODBC) library(forecast) library("geneplotter")

After one minute of connection the stream from our icecast 1.3.10 server (debian package 1.3.10-2) starts stuttering. And after some stuttering the client is disconnected by the server. The usual client is a windows winamp. The icecast logs shows that the the client is not receiving data fast enough. A small part out the logs is shown below. That the data is not received fast enough is rediculous

I have been sucessfully streaming with liveice/icecast. Now I want to add a second broadcast with differanct music. I thought I could just create a new dir, plop in a new liveice config file in the dir, with a diff mountpoint in the second config file and be on my way. But when i try this, the the second instance of liveice is kill instantly. Is this the correct way to stream two differant

Dear Rusers, I want to standardise the values of x/y coordinates to the unit square, i.e. make the x-values all lie within [0,1] and all the y-values lie within [0,1] in the bottom example. I had thought to use scale() function to do it, but it seems that it's used to standardise a variable and the scaled value was not within [0,1]. OR, i can divide x/y-values by their maximum value to get

Nothing special, just my first plugin. it came out of a request I saw on the list from someone who wanted to be able to tell if a model''s attributes had changed prior to being saved. Well, this plugin does just that (at least I hope it does). http://rubyforge.org/projects/actsasmodified/ Please see the README for details. Constructive comments and criticisms are appreciated. Chris

Howdy! I've been doing a lot of troubleshooting, and haven't arrived at a solution yet. Kernel log attached. VBIOS also attached. Ubuntu 19.10 $ uname -a Linux joyful 5.3.0-26-generic #28-Ubuntu SMP Wed Dec 18 05:37:46 UTC 2019 x86_64 x86_64 x86_64 GNU/Linux $ dpkg -l|grep nouveau ii libdrm-nouveau2:amd64 2.4.99-1ubuntu1 amd64