similar to: Better way of Grouping?

I am running R version 2.15.1 in Windows XP I am having problems with a function I'm trying to create to: 1. subset a data.frame based on function arguments (colname & parmname) 2. rename the PARMVALUE column in the data.frame based on function argument (xvar) 3. generate charts plotvar <- function(parentdf,colname, parmname,xvar,yvar ){ subdf <-

When reshaping a dataframe in which there are unused factor levels in the id variable, I get the following error: Error in if (!all(really.constant)) warning(gettextf("some constant variables (%s) are really varying", : missing value where TRUE/FALSE needed For example, > df <- data.frame(i = factor(rep(1:5, each = 2)), t = factor(rep(1:2, 5)), x = rep(rbinom(5, 1,

Hi, I have a data frame df with column names a,b and c. Now I want to get a subset of df that satified the condition a == 1 and b == 2, how do I specify this. For one condition like a == 1 I can use subdf = df[,df$a==1] to get the right answer, but subdf = df[,df$a==1 && df$b ==2] does not return the right answer. Some quick tips please.

Greetings R users, My interest in the Q2cum score comes my endeavor to replicate SIMCAP PLS-DA analysis in R. I use the exact same dataset. After doing the analysis in R, I can get the exact same R2Ycum. However, the Q2cum is significantly off. Adding the Q2cum of the 1st and 2nd component comes close but that seems unconvincing and I don't understand why the 3rd component Q2cum would be

Greetings R users, My interest in the Q2cum score comes my endeavor to replicate SIMCAP PLS-DA analysis in R.? I use the exact same dataset.? After doing the analysis in R, I can get the exact same R2Ycum.? However, the Q2cum is significantly off.? Adding the Q2cum of the 1st and 2nd component comes close but that seems unconvincing and I don't understand why the 3rd component Q2cum would be

Hi, I am trying to read the "credit.lisp" file of the Japanese credit database in UCI repository, but it is in lisp format which I do not know how to read. I have not found how to do that in the foreign library http://archive.ics.uci.edu/ml/datasets/Japanese+Credit+Screening <http://archive.ics.uci.edu/ml/datasets/Japanese+Credit+Screening> Could anyone help me? Best

I tried to define a function using another function I defined before, and the previous function has a vector as an argument, when I tried to get the graph of the new function, there was something going wrong. Here is a simple example to explain how it happend: fr1 <- function(x,y){ x^2+x*y+1 } fr2 <- function(x){ fr1(x,3) } plot(fr2) In this case, it worked just fine. But when I

I have an external HP SureStore DLT VS80 with a SCSI LVD 68 pin interface and an external HP SureStore DAT24 with a SCSI Centronics 50 pin Narrow SE interface. The cable for the DAT has a Centronics connector at one end and a 68 Pin Wide to Narrow terminated connector at the other. The cable for the DLT has a LVD/SE 68 pin connector at both ends. I have terminator blocks for both devices.

S-PLUS ESSENTIALS 24-27th April 2006 Venue : Insightful UK Office, Network House, Basing View, Basingstoke, Hants RG21 4HG We are pleased to be taking registrations for the next scheduled S-PLUS Essentials course being held in Basingstoke 24-27th April 2006. If you are unfamiliar with S-PLUS or have been meaning to upgrade your S-PLUS skills, this is the course for you. This course will be

Thank you Dan but it isn't my tests that are failing (all of them pass without problem) but one of the examples from the inst/examples directory. I did try, however, to start R with the environmental variables as you suggest but it had no effect on my tests. Charles On Wed, May 13, 2015 at 1:51 PM, Dan Tenenbaum <dtenenba at fredhutch.org> wrote: > > > ----- Original Message

Greetings, I have been exploring the use of the caret package to conduct some plsda modeling. Previously, I have come across methods that result in a R2 and Q2 for the model. Using the 'iris' data set, I wanted to see if I could accomplish this with the caret package. I use the following code: library(caret) data(iris) #needed to convert to numeric in order to do regression #I

Greetings, I am familiar with the function cite('packageName') which provides the output generated from the DESCRIPTION file. In most cases this is sufficient but I was wondering if there are contributing authors (in addition to the primary) also listed on the CRAN page. Is there a proper way to account for them or are they generally not listed? Regards, -- Charles Determan

On 4/28/20 1:58 PM, David Zomaya wrote: > snmpwalk -l authpriv -v 3 -u user -a MD5 -x DES -A authpassphrase -X > privpassphrase Evidently, even with argument identifiers order matters. That worked just fine and dandy. Now I guess I need to play with the order of the nut-scanner arguments to see if I get a similar result. thanks, nomad

Hi there. I got myself a pair of old Intel Xeon blades, which I plan to repurpose with CentOS. The model is : HP bl20p-g3 server blade Manual http://h18004.www1.hp.com/products/quickspecs/12322_ca/12322_ca.pdf Now, the main problem with this hardware is that LVD UW SCSI HDDs are hard to find and hella expensive if you find em (and of reduced capacity). Any of you know: 1. If there's any

Hi, Using FOP, I've met a situation which makes me ask this simple question : Are both A and B commands bellow equivalent ? A. CLI: originate SIP/9122 application dial Local/9123 at local B. AMI/FOP: 192.168.64.5 -> Action: Originate 192.168.64.5 -> Channel: SIP/9122 192.168.64.5 -> Async: True 192.168.64.5 -> Callerid: 9122 Guest2 <9122> 192.168.64.5 -> Exten: 9123

Dear R users, I used to "OPTIM" to minimize the obj. function below. Even though I used the true parameter values as initial values, the results are not very good. How could I improve my results? Any suggestion will be greatly appreciated. Regards, Kathryn Lord #------------------------------------------------------------------------------------------ x = c(0.35938587,

Dear R users, I used to "OPTIM" to minimize the obj. function below. Even though I used the true parameter values as initial values, the results are not very good. How could I improve my results? Any suggestion will be greatly appreciated. Regards, Kathryn Lord #------------------------------------------------------------------------------------------ x = c(0.35938587,

Hello, Simple question that I am stuck on and can't seem to find an answer in the help files currently. I have a list which contains repeated ID's. I would like to have R count the number of ID's. For example: ID=c(1,1,1,1,2,2,2,2,3,3,3,3) as.data.frame(ID) Clearly, there are 3 groups. How would I have R give me the summary: ID 3 Many thanks, Charles [[alternative HTML

This is strictly a curiosity question. I am aware the R doesn't possess a float data type. I also don't mean to request that such functionality be implemented as I'm sure it would require a large amount of work with potential back compatibility conflicts. But I wanted to know why R has never had a float data type available? Regards, Charles [[alternative HTML version deleted]]

I have a large dataset similar to this: ID time result A 1 5 A 2 2 A 3 1 A 4 1 A 5 1 A 6 2 A 7 3 A 8 4 B 1 3 B 2 2 B 3 4 B 4 6 B 5 8 I need to extract a number of features for each individual in it (identified by "ID"). These are: * The lowest result (the nadir) * The time of the nadir - but if the nadir level is present at >1 time point, I need the minimum and maximum time of nadir