similar to: Hmisc binconf function value interpretation during narrow confidence intervals

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

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 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

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.

Ok, Thanks foe the answer, Ken: *1L, 2L etc are integers. (That is, identical to as.integer(1) , as.integer(2) etc) Using integers (instead of "numeric" type) is more efficient as here they're used as indexes and would be converted to integer anyway. Compare > is(1) ... and > is(1L) 1L:p is the sequence 1, 2, 3, ..., p (just like 1:p) Just for curiosity, what is

Hello, I've come across a problem in developing a set of custom functions to calculate the number of hours of daylight at a given latitude, and the number of days a date precedes or secedes the summer solstice. I discovered an inconsistency concerning leap years between my derived values and those from the US naval databases. It seems as far as I can figure that my inconsistency arises either

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

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!

Dear R users this may be a simple question - but i would appreciate any thoughts does anyone know how you would get one lower and one upper confidence interval for a set of data that consists of proportions. i.e. taking a usual confidence interval for normal data would result in the lower confidence interval being negative - which is not possible given the data (which is constrained between

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",

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

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

Dear All, I am actually on R-devel using shell consol. When I run RStudio, it can't find libR.so in the new /lib folder where is libRblas.so libRlapack.so. At first step I configure R-devel to share library with ./configure --enable-R-shlib. when I copied libR.so from /usr/lib/R/lib/libR.so (stable version R 3.1) to /usr/local/R-devel/lib/libR.so (R-devel version), That doesn't work.

Dear All, I am actually on R-devel using shell consol. When I run RStudio, it can't find libR.so in the new /lib folder where is libRblas.so libRlapack.so. At first step I configure R-devel to share library with ./configure --enable-R-shlib. when I copied libR.so from /usr/lib/R/lib/libR.so (stable version R 3.1) to /usr/local/R-devel/lib/libR.so (R-devel version), That doesn't work.

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

Hello all, I'm struggling to grasp how I might use lapply() instead of looping to run approx() on a list consisting of multiple arrays - each of equal dimension. But simpler than that, I haven't been able to successfully apply approx() to an array, unless I loop through the third dimension and extract the matrix. See example code below... Any suggestions will be gratefully received. Thanks

Dear All, I have the following data coming out from s <- with(final, summarize(norm, llist(gtt,fdiab), function(norm) { n <- sum(!is.na(norm)) s <- sum(norm, na.rm=T) binconf(s, n) }, type='matrix') ) ie gtt fdiab norm.norm norm.norm2 norm.norm3 18

Hello all, I'm trying to grasp a way to order a matrix by giving order() only a vector of the columns it can look to for sorting. The approach has to be generic such that I can feed order() a vector of variable length (ie varying # of columns to sort by). x<-rep(1,9) y<-c(1, 1, 2, 2, 2, 1, 2, 2, 2) z<-c(10, 11, 10, 13, 15,1000,1000, 1001,1002) results<-cbind(x,y,z) #pseudocode: