similar to: Newbie woes with par:mar

Dataframe cust has Date-type column open.date. I wish to set up another column, with (first day of) the quarter of open.date. To be comprehensive (of course, improvement suggestions are welcome), month = function(date) { return(as.numeric(format(date,"%m"))) } first.day.of.month = function(date) { return(date + 1 - as.numeric(format(date,"%d"))) } first.day.of.quarter =

Hi, I am trying to create a loess smooth from hydrologic data. My goal is to create a smooth line that describes discharge at a certain point in time. I have done this using the 'lowess' function and had no problem, but I'm having some difficulty with loess. I am inputting the date ('date') and discharge ('q') values using the 'scan' function, then inputting

Hi I am trying to save some plots in a postscript file. When I generate the plots in the main window, they appear correctly - their orientation is landscape (i.e., horizontal). However, when I open the .ps file with GSview, the whole page appears vertically, and the plot appears horizontally, which means that the plot is only partially visible (example here

I am using hclust and plot to produce dendrograms. Using my input data I am able to complete an analysis and obtain a vertical plot. I want to be able to plot the dendrogram horizontally.I am using version 2.6 of R and have updated my packages recently. Using the sample script for dendrograms I can produce a horizontal plot using the instruction horiz = TRUE in plot(). When I use the same

The first column in my Excel sheet has mostly numbers but I need to treat it as character data: > library(RODBC) > channel <- odbcConnectExcel("U:/efg/lab/R/Plasmid/construct list.xls") > plasmid <- sqlFetch(channel,"Sheet1", as.is=TRUE) > odbcClose(channel) > names(plasmid) [1] "Plasmid Number" "Plasmid"

Hi all, I improved a function drawing horizontal histograms (code below) which uses barplot and works fine. It does,however, need to assign a function to the global environment to later find the actual location on the vertical axis, and not the number of bars used by barplot. Hopefully, running the examples below will illustrate that. As said, it works perfectly fine and does exactly what I

I want to get some "simple" logic regression examples to work before exploring a hard problem. I can get results, but I'm having some problems using "cat" to save the logic regression equation to a disk file. Consider this: # Simple Logic Regression Example # efg, 23 Feb 2005 library(LogicReg) # Create simulated data with known logic equation: # "noise"

Full_Name: Fran Rizzardi Version: 0.90.0 OS: Solaris, NT 4.0 Submission from: (NULL) (128.32.135.223) If you use the horiz= option with hist() you get the message: Warning: parameter "horiz" couldn't be set in high-level plot() function. and the plot comes out vertical. The documentation says this option comes from barplot() and it does work correctly in barplot(). This

Dear all, I have the following data, which has \\n in place of \n. I introduced \n's in the csv file so that I could use it in barchart in lattice. When I did that and read it into R using read.csv, it read it as \\n. My question is how do I introduce "\n" in the middle of a long string of quoted text so that lattice can make multiline strips. Hitting Enter which is supposed to

Hello, I want to use pearson's correlation as distance between observations and then use any centroid based linkage distance (ex. Ward's distance) When linkage distances are formed as the Lance-Williams recursive formulation, they just require the initial distance between observations. See here: http://en.wikipedia.org/wiki/Ward%27s_method It is said that you have to use euclidean

I've always been frustrated that R never puts a label on the column name for a column of row names. This is usually the "key" in a database table, and it sure would be nice to carry a "key" name along with the data instead of the field being blank. So, why is it a good idea for it to be blank? ?write.csv says this: CSV files By default there is no column

Does R have a dir.choose function? I can use file.choose like this as a kludge to get something like a dir.choose, but a real dir.choose would be better: cat("Select one of files in directory to process:\n") filename <- gsub("\\\\", "/", file.choose()) basepath <- dirname(filename) Windows provides a lower-level SHBrowseForFolder function to create such

I need to process some datasets where the configuration information was stored in .INI-like files, i.e., text files with sections like this: [Section1] var1=value1 var2=value2 [Section2] A=value3 B=value4 ... >From Google and other searches I haven't found any package, or function within a package, that reads .INI files into an R list, or other data structure. Any suggestions, or

# This works fine: > a <- 1 > b <- 2 > c <- 3 > E <- expression(a * exp(b*X) + c) > X <- c(0.5, 1.0, 2.0) > eval(E) [1] 5.718282 10.389056 57.598150 > D(E, "b") a * (exp(b * X) * X) > eval(D(E, "b")) [1] 1.359141 7.389056 109.196300 # But if (a,b,c) are replaced with (A[1], A[2], A[3]), how can I get a derivative

There seems to be a problem with partial matching of argument names in boxplot(), in respect of the "horizontal" argument. I don't recall seeing this issue discussed previously. My apologies if I am being redundant. (A scan of CRAN revealed that someone had experienced problems with the "horizontal" argument, but he was spelling it out in full, so that was a different

Hi, how can I convert the unit "lines" of par("mar") into inches? par("mai") could help, but does not (see code below). I want to plot a curve in a predefined size in pdf (I add some margin space to the plot width&height, everything is in cm): pdf("test.pdf",width=(20+2+4)/2.54,height=(10+3+1)/2.54) plot(10:30,

Hi, I have the following problem: library(playwith) x<-ts(rnorm(100)) y<-ts(cumsum(x)) playwith({ par(mfrow=c(2,1)) plot(x) plot(y)}) I can't make playwith identify (using the button top left) datapoints on multiple graph plots (eg. par(mfrow=c(2,2) for a 2 x 2 frame of plots). Is it possible any other way? Many thanks in advance, Costas P Think

Hi, I'm trying to recreate a sensitivity-specificity graph using the histbackback function. The only problem is that these graphs are typically drawn with vertical rather than horizontal bar plots (and the histbackback function only seems to work with horiz=TRUE argument, using "horiz=FALSE" doesn't work). Does anyone know if: 1) there's a different graphing function that

Hello, Is it possible to remove those extra margins on the "sample" axis from plot.dendrogram: par(oma=c(0,0,0,0),mar=c(0,0,0,0)) ddr<-as.dendrogram(hclust(dist(matrix(sample(1:1000,200),nrow=100)))) stats:::plot.dendrogram(ddr,horiz=F,axes=F,yaxs="i",leaflab="none") vs. stats:::plot.dendrogram(ddr,horiz=T,axes=F,yaxs="i",leaflab="none")

I'm trying to load Affy Annotation data from an Access database into R using RODBC. This has worked fine for quite some time. The bug seems to be correlated to RODBC versions 1.1-7 and later. Works fine: R 2.2.0 with RODBC 1.1-4; R 2.3.0 or R 2.4.1 with RODBC 1.1-6 Fails: R 2.3.1 with RDOBC 1.1-7; R 2.4.1 with RODC 1.1-7 or 1.1-8 Details ===== This works fine: Version 2.2.0