similar to: Apply approx() to an array and eventually a list of arrays

Hello all, I was under the (false?) assumption that an object that is class logical, would take up less memory than an object with class integer. Below am I correctly showing this is not the case? This was an attempt to reduce memory usage. I'm dealing with two large arrays (could be integers). Their contents are the exact same, but one has NA's in random locations. I thought instead

hi all, It's not clear to me how (or if) I can pass multiple values for lty to a key in xyplot? I've tried: lines=list(lty=1:3), to no avail. Do I need to use something other than auto.key? (Deepayan, if you're out there, I have your book and must admit the answer isn't jumping out at me.) thanks in advance! Michael Folkes example code: #____________________________

Perhaps somebody could clarify for me if the following is a floating point matter or otherwise, and how am I to correct for it? > floor(100*.1) [1] 10 > 100*(1.0-.9) [1] 10 > floor(100*(1-0.9)) [1] 9 Thanks! Michael _______________________________________________________ Michael Folkes Salmon Stock Assessment Canadian Dept. of Fisheries & Oceans Pacific Biological Station

I'm using RODBC to read an excel file (not mine!). But I'm struggling to find a way to preserve the column names that have a numeric value. sqlFetch() drops the value and calls them f1, f2, f3,... (ie field number). this is a different approach from read.csv, which will append "V" prior to the numeric column name. sqlFetch isn't so helpful. Is there a way to get the

Hello all, After beating my head against the wall for a few hours, I give up. I have two problems. 1. If I use seq() to generate a POSIXct series that crosses a daylight savings to stardard time change I get two values for the first day of change. The time change is Nov 6,2011. The value for Nov 7 turns into 23:00 on Nov 6, thus two values for Nov 6. (see below) So I put a time value (noon)

Hello all, I'm hoping to convert a decimal value for week of the year back to a date object. Eg: strptime(paste(2010,1:52,sep=" "),format="%Y %W") I expected (hoped?) this would give me the date for Monday of each week. Instead, it's giving me 52 values of today's date. Where am I erring? Thanks Michael _______________________________________________________

I'm running windows xp, R 2.3.1 with maptools 0.6-6, I guess. When plotting from a large SpatialLinesDataFrame and using xlim & ylim to reduce the area, the plot axes automatically have the same scale size, even if xlim and ylim ranges differ. E.g.: tmp <- readShapeLines(filepath) plot(tmp,xlim=c(-126,-119),ylim=c(50,51)) The y-axis range is actually 47-54, same range as the x-axis.

Hello all, I'm struggling with POSIXt objects. I've read the refman, the Rnews from 2001 and hopefully all the pertinent help pages. I'm running windows xp. It appears my time zone variable isn't set, which hopefully is fine for this exercise. > Sys.getenv("TZ") TZ "" help(as.POSIXct) states: "Dates without times are treated as being at midnight

Hi all, I've got R for windows 2.3.1 I'm trying to modify my lattice histograms. The following does reset the y-label to blue, but I cannot turn off the label (alpha=0), nor shift label position (I'm assuming that is what lineheight is for). Is 'lineheight' the equivalent of 'line' in mtext? Am I erring somehow? Thanks!

I'm having trouble making contour lines for this attached, sparse dataset (low data:NA ratio!). Is it the high number of NA's, or funny layout of the densities, or something else that's causing this? This is a subsample of the dataset, and I get the same problem when using the full data. The only reason I get any contours is because I'm forcing specific levels. If no levels are

Hello all, In order to get the desired order of panels within lattice I realized I needed to define my factor levels. I now see how to properly do it (attached code), but: 1. I don't understand why I have to use factor() on a variable that is already a factor, and why levels() alone doesn't work to readjust the level order. 2. I just noticed that if I do use levels(xx$v1), it's

Hello all, I've been using binconf (package Hmisc) at a range of alpha values and noticed that using the 'Wilson' method when alpha is larger (i.e. narrow CI), results in the upper value being smaller than the lower value. The 'exact' and 'asymptotic' methods give results in the realm I'd expect. But the help file suggests: "Following Agresti and Coull, the

Hello, I can build packages with R-2.8.0 but I cannot run the code: R CMD Rd2dvi --pdf --no-clean <pkg_name> =20 Error message: .: Can't open C:/Apps/R/R280/share/sh/dcf.sh: No such file or directory The system cannot find the path specified. =20 The above code works fine in R-2.7.2. =20 Comparing the bash script Rd2dvi.sh between R-2.7.2 and R-2.8.0 makes me think that the script is

I'm trying to fathom how to answer two example problems (3.3.2 & 3.3.3) in: Krishnamoorthy. 2006. "handbook of statistical distributions with applications" The first requires calculating single trial probability of success for a binomial distribution when we know: trial size=20, successes k=4, P(x<=k)=0.7 Appreciably all the binomial functions are requiring "prob",

I have now committed a version "fulfilling" your wish, partly at least, to R-devel . In the new approx(*, na.rm=FALSE) cases, the result of how NA's are treated does depend on the 4 different extrapolation rules {1, 2, 1:2, 2:1} The main reason was that I kept the low level code in C to do +- what it did before which automatically was using 'rule' to determine these

Readers, Am trying to use the function 'approx' to interpolate time series data sets: data1: 01:23:40 5 01:23:45 10 01:23:50 12 01:23:55 7 data2: 01:23:42 01:23:47 01:23:51 01:23:54 The objective is to obtain interpolated values of 'data1' column 2 (5, 10, 12, 7) for the times shown in data2. Tried the following command but received the error shown:

This is R1.9.0, windows XP I run across the following: It is admittedly silly, but it shouldn't segfault: test <- list(y=1:100, x=rep(NaN, 100)) approx(test, xout=rep(NaN, 10)) Bombs! Kjetil Halvorsen

Hello, I am looking for a highly efficient matrix version of linear interpolation (like approx). As an example I have data like follows: x<-data.frame(time=1:20, x=(1:20)/10, y=runif(20)) t <- seq(1.5, 15.5 ,by=0.5) # and I found the following solution: nam <- names(x) app <- lapply(x[2:3],approx,x=x$time, xout=t) r <- c(1, 2*(1:(ncol(x)-1))) x.new <-

Full_Name: joerg van den hoff Version: 1.9.1 OS: MacOS and SunOS Submission from: (NULL) (149.220.4.88) follow up to ID 7166. something like approx(c(1,2),c(NA,NA),1.5,rule=2) crashes 1.9.1 on both systems (MacOS 10.3.5.: bus error, SunOS 5.9: segmentation fault) even if xout is within given x range (as in example above) where rule=2 seems not be relevant anyway.

Dear all; I have a dataframe with several columns. The columns are the elevation, volume and the area of the cells (which were placed inside a polygon). I have extracted them from DEM raster to calculate the volume under polygon and the elevation for a specific volume of the reservoir. > head(x6,2) Elevation Vol Area V_sum A_sum 1 2145 13990.38 85.83053 13990.38