similar to: opus-tools doesn't compile on x86-32 Linux

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

Dear all, I have a question about the 'sdev' value returned by the princomp function (which does principal components analysis). On the help page for princomp it says 'sdev' is 'the standard deviations of the principal components'. However, when I calculate the principal components for the USArrests data set, I don't find this to be the case: Here is how I

Hi folks, I have a dataframe df.vars with the follwing structure: var1 var2 var3 group Group is a factor. Now I want to standardize the vars 1-3 (actually - there are many more) by class, so I define z.mean.sd <- function(data){ return.values <- (data - mean(data)) / (sd(data)) return(return.values) } now I can call for each var z.var1 <- by(df.vars$var1, group,

Can someone tell me what an object of class lm returned by lm means? I assumed it mean the regression model - but I'm not sure how to enter this in. I have tried y~a+b but this is not working. I have also tried saving the regression results and entering these, but again this is incorrect. This language is from the following: lm.LMtests(model, listw, zero.policy=FALSE,

ComRades: I have a glm where interest lies in the estimated mean levels of the response Y for every level of factor Year (regardeless of statistical significance of the factor), when the effect of other factors have been accounted for. The model is of the form: fit<-glm(Y~Year+Mo+Area+Ship+Eff,family=gaussian(link="log"),data=data) where Year is categorical and has T levels

Hi, Although my doubt is pretty,as i m not from stats background i am not sure how to proceed on this. Currently i am doing a forecasting.I used ARIMA to forecast and time series was volatile i used garchFit for residuals. How to use the output of Garch to correct the forecasted values from ARIMA. Here is my code: ###delta is the data fit<-arima(delta,order=c(2,,0,1)) fit.res <-

Hi I know how to referenc R in a scientific paper - but is there a standardised way to reference packages? Thanks Rainer -- NEW EMAIL ADDRESS AND ADDRESS: Rainer.Krug at uct.ac.za RKrug at sun.ac.za WILL BE DISCONTINUED END OF MARCH Rainer M. Krug, Dipl. Phys. (Germany), MSc Conservation Biology (UCT) Plant Conservation Unit Department of Botany University of Cape Town Rondebosch 7701

Hi all, This came up in a recent review. There is currently no documented style for how to write error messages. For example, should they start with a capital letter or end in a full stop? Consequently, there's quite a bit of inconsistency in our diagnostics throughout the code base. clang typically emits error messages with no leading capital letter and no trailing full stop. For example:

The biggest problem with Vorbis comments are too loose specifications and too little standardisation. Another problem is attribution of involved parties. Currently only the ARTIST field name is supported in software. More standardised field names need to be worked out for organisations and persons involved in the production of the recording. See:

Update: I looked through VirtIO 1.0 and 1.1 specs, data format their, including byte order, is defined on a per-device type basis. RPMsg is indeed included in the spec as device type 7, but that's the only mention of it in both versions. It seems RPMsg over VirtIO isn't standardised yet. Also it looks like newer interface definitions specify using "guest native endianness"

Update: I looked through VirtIO 1.0 and 1.1 specs, data format their, including byte order, is defined on a per-device type basis. RPMsg is indeed included in the spec as device type 7, but that's the only mention of it in both versions. It seems RPMsg over VirtIO isn't standardised yet. Also it looks like newer interface definitions specify using "guest native endianness"

Hi, I have what might be a silly question but is there any way to put some of the database configuration information into a separate file? For instance, in config/database.yml I have: developer_database: &developer_database adapter: mysql username: me password: something host: 127.0.0.1 development: <<: *developer_database database: foobar_development test: <<:

Hello folks. I''ve got a problem that I can''t work out the solution to. My base workstation node definition says essentially: node base-workstation { file { etc-sudoers: name => "/etc/sudoers", ... } } This works fine, all of our workstations get a standardised sudoers file. However, I have one user on a workstation who needs a specialised sudoers file.

On Mon, Jun 08, 2020 at 05:19:06AM -0400, Michael S. Tsirkin wrote: > On Mon, Jun 08, 2020 at 11:11:00AM +0200, Guennadi Liakhovetski wrote: > > Update: I looked through VirtIO 1.0 and 1.1 specs, data format their, > > including byte order, is defined on a per-device type basis. RPMsg is > > indeed included in the spec as device type 7, but that's the only > >

On Mon, Jun 08, 2020 at 05:19:06AM -0400, Michael S. Tsirkin wrote: > On Mon, Jun 08, 2020 at 11:11:00AM +0200, Guennadi Liakhovetski wrote: > > Update: I looked through VirtIO 1.0 and 1.1 specs, data format their, > > including byte order, is defined on a per-device type basis. RPMsg is > > indeed included in the spec as device type 7, but that's the only > >

I contacted John Fox about this first, because parts of the file are attributed to him. He says that he didn't write rstandard.glm(), and suggests asking r-devel. As it stands, rstandard.glm() has summary(model)$dispersion outside the sqrt(), while in rstandard.lm(), the sd is already sqrt()ed. This seems to follow stdres() in VR/MASS/R/stdres.R. Of course for the c("poisson",

Hi, I have a question regarding data importing into R. When I import my data into R and review the summary, some of my explanatory variables are being reported as if instead of being one variable, they are two with the same name. See below for an example; Behav person Behav dog Position **combination : 38 combination : 4** Bank :372 **combination : 7

On my lex mainboard with a Via C3 cpu, xen 2.0(.1) reboots (nearly) immediately without any outputs. The same setup/version boots without problems on a via epia M board with a Via C3-2 cpu (Nehemia), having a rather different chipset. Starting with option noreboot, nobiostables doesn''t change anything visible. Is this a known problem? Or just a knowingly unsupported chipset? Have you

Dear All, I am a undergraduate using R for the first time. It seems like an excellent program and one that I look forward to using a lot over the next few years, but I have hit a very basic problem that I can't solve. I want to produce a standardised histogram, i.e. one where the area under the graph is equal to 1. I look at the manual for the histogram function and find this: freq:

Is there a way to retrieve the client's password in plain text from memory ? I don't store the password in plain text in my postgreSQL but I need it when the client is connected to make crypto computation. If I write a plugin to do the job, how could I retrieve the plain text password from master ? Thank you for your help, Regards, Stan.