similar to: Loading in Large Dataset + variables via loop

Hi, We have several APC Smart UPSes (serial port/apcsmart) with the APC Temp/Humidity sensor cards (AP9612TH). The sensor cards have 2 plugs for 2 separate sensors. So far, we have only used one of the sensors in conjunction with the apcsmart module from nut. This has been working great. Example output: [nut at nut]# upsc APC11 ambient.humidity: 037.2 ambient.humidity.alarm.maximum: NO,NO

Dear R-devel, I've made some potential extensions to writeForeignSAS in 'foreign' that I wanted to pass along if anyone is interested. I've attached the diff -u output against the version found in foreign_0.8-15 and an .R file with my changes. (In this .R file, the function is named writeForeignSAS7 to simplify testing/comparisons.) I've tried to alter the current

Hola! I have data in the form of a symmetric distance matrix, in the file I have recorded only the upper triangular part, with diagonal. The matrix is 21x21, and the file have row and col names, and some other information. I am trying to read with the following code (I tried many variations on it, but all give the same error). The items in the data file is delimited by white space. (Part

I'm learning how to use ggplot in a programming approach where I supply variable names on the fly. Using aes_ doesn't work as I expected when x = factor(x). Is this a bug or am I not understanding something? # toy dataset df <- data.frame(LogicalVar = c(FALSE, TRUE, FALSE, TRUE, FALSE, TRUE), Var1 = c(0.01, 0.01, 1, 1, 30, 30), pct1 = c(12, 88, 60,

Dear all, I have two probably very easy questions: (1) Is there a way to access certain variables by their string-based name representation? Example: numbers <- c("one", "two", "three") varname <- "numbers" print(varname[2]) (2) I need this functionality for a customized na.exclude() function that I am building, which should only exclude rows

# Two test for a class like this: setClass("XXX", representation=representation( "matrix" ) ) i<-new("XXX"); m=matrix(); colnames(m)<-c("colA"); i at .Data=m; # >i # An object of class ?XXX? # colA #[1,] NA #________________________________________________________________________ #First Test "varnames<-" <- function(x,value){

Hello * i have to rename a lot of variables, and, given that they have regular name constructs, I would like to use regexps. Here's a dump of my head(names(df)) varnames <- c("id.quest", "txt.1.3", "col1.1.3", "col2.1.3", "col3.1.3", "col4.1.3", "col5.1.3", "txt.2.3", "col1.2.3",

Hi list, I am unsuccessfully trying to produce a serious of trellis barcharts from within a for-loop. The barcharts work outside the loop. What am I missing? Example attached. Thanks Herry #XXXXXXXXXXXXXXXXXXXXXX trellis.device(bg="white") trellis.par.get("fontsize")->fontsize fontsize$default<-16 trellis.par.set("fontsize",fontsize)

Estimados miembros de la lista. Estoy trabajando con la función mosaic del paquete vcd. Cómo puedo hacer para ver el contenido fe la función y modificar algunos de sus argumentos? Muchas gracias, Manuel -- *Manuel Spínola, Ph.D.* Instituto Internacional en Conservación y Manejo de Vida Silvestre Universidad Nacional Apartado 1350-3000 Heredia COSTA RICA mspinola@una.ac.cr

Hi, I'm currently using the R package e1071 to train naive bayes classifiers and came across a bug: When the posterior probabilities of all classes are small, the result from the predict.naiveBayes function become NaNs. This is an issue with the treatment of the log-transformed probabilities inside the predict.naiveBayes function. Here is an example to demonstrate the problem (you might need

Hi Folks, I'm wondering if there's a secret trick to achieve the following. I have some big code for analysis related to a named variable, which will be one of several in the columns of a dataframe, and I would like to be able to choose between a run for just one of these variables, or a run which loops over them all. So, for a single run, I could have the following kind of thing in a

Hi ! I am new to R, and using the MAC version onto Mac OS 9.1. My question concerns the problem I encounter when I try to read some data I have using the read.table function. I always get an error of type : Error in scan(file = file, what = what, sep = sep, quote = quote, dec = dec, : line 1 did not have 9 elements Here is my code: varnames <- c("names", "symbol",

I am trying to write a 10000x8 matrix into a text file so I can read it into SAS. When I tried using write.table I could not get just 8 columns and 10000 rows it would just write all the data in a line until it hit the end and went to the next line. I tried instead using write.foreign and I got an error message: Error in if (varnames[v] != names(varnames)[v]) cat("LABEL ", varnames[v],

Dear listers, I am trying to fit a model using nlsList() using alternately a SSfol() selfstart function or its developped equivalent formulae. This preliminary trial works well mydata<-groupedData(Conc~Tps|Organ,data=mydata) mymod1<-nls(Conc~SSfol(Dose,Tps,lKe,lKa,lCl),data=mydata) as well as a developped form: mymod2<-nls(Conc~Dose * exp(lKe+lKa-lCl) *

How can I insert mathematical expressions for variable names in a lattice parallel plot? I tried to implement mathematical expressions in varnames, however, without success. For example, neither parallel(~iris[1:4] | Species, iris, varnames=c("P[Width]", "Petal[length]", "alpha[Width]", "Sepal[Length]")) nor parallel(~iris[1:4] | Species,

Dear list, I may have found a bug in model.frame.default (called by the lm function). The problem arises in my R dev version but not in my R 2.4.0. Here is my config : > version _ platform x86_64-unknown-linux-gnu arch x86_64

Hi Justin, my class is a visitor pattern and I use accept method to go recursive in suboject in my AST. In locals I store AllocaInst pointer. void *visit(var1_init_decl_c *symbol) { llvm::Type *lType; varNames.clear(); varType = ""; symbol->var1_list->accept(*this); /* get a vector contains variable names */ symbol->spec_init->accept(*this); /* Store in

Hi, running the following code by itself runs as expected. ---------------------------------------------------------------------------- k <- 1 i <- 2 j <- 3 NumName <- varnames[num.cols[k]] FacNames <- varnames[fac.cols[c(i,j)]] tmp <- paste(FacNames[1],NumName,sep="~") fml <- formula(paste(tmp,FacNames[2],sep="|")) bwplot(fml, data

I could use some help understanding how nls parses the formula argument to a model.frame and estimates the model. I am trying to utilize the functionality of the nls formula argument to modify garchFit() to handle other variables in the mean equation besides just an arma(u,v) specification. My nonlinear model is y<-nls(t~a*sin(w*2*pi/365*id+p)+b*id+int,data=t1,

... and is there also such a nice tool (like spss.get) for exporting data frames to SPSS? write.table does not keep the data frame labels - neither did the other exporting tools that I found. Thanks! Michael [[alternative HTML version deleted]]