similar to: Reading data in R-metrics

Hi all, I have 2 questions: 1)How do I calculate the mean on an imported txt file? I've imported the file below and that's what it looks like imported. How do I then calcuate the mean, median, or mode on the column LeafArea using the desktop R package? Any help would be greatly appreciated!! Thanks, Nat LeafType Leaflets LeafArea ShapeRatio LeafWeight LeafThickness 1 1

I am having difficulty understanding how I would constrain a data set by filtering out 'records' based on certain criteria. Using SQL I could query using 'select * from my.data where LithClass in ('sand', 'clay')' or some such. Using subset, there seem to be ghosts left behind (that is, all of the LithClass *.Labels* remain after subset) > dput(tcc)

Hi r-users,   I would like to extract the data that match.  Attached is my data: I'm interested in matchind the value in column 'intg' with value in column 'rand_no' > cbind(z=z,intg=dd,rand_no = rr)             z  intg rand_no    [1,]  0.00 0.000   0.001    [2,]  0.01 0.000   0.002    [3,]  0.02 0.000   0.002    [4,]  0.03 0.000   0.003    [5,]  0.04 0.000   0.003    [6,] 

I WROTE THIS FUNCTION BELOW test <- function(x, ...) UseMethod('test', x) test.data.frame = function(x, model, which, error, ...) { av <- aov(formula(model), data = x) res <- test.aovlist(av, which = which, error = error) return(res) } test.aovlist <- function(x, which, error, ...) { mm <- model.tables(x, "means") tabs <- mm$tables[-1]

Hi Folks! I seem to be having a problem with alignDailySeries in Rmetrics: DTB6<-fredSeries("DTB6",frequency = "daily",from = "1980-01-01") trying URL ' http://research.stlouisfed.org/fred2/series/DTB6/downloaddata/DTB6.txt' Content type 'text/plain; charset=UTF-8' length 248392 bytes (242 Kb) opened URL downloaded 242 Kb Read 13060 items

How to add trendline (i.e. straight line passing through maximum points) in graph. I have worked on the data given below. Please tell me how to add trendline in the graph. The script is as follows =================================== start ==================================================== # The data is as follows data <- c( 0.01, 0.02, 0.04, 0.13, 0.17 , 0.19 , 0.21 , 0.27 , 0.27 ,

Hi Folks! I'm reading in some data from a .csv file that has a date column. How do I use colClasses to get read.csv to recognize the date column? The documentation on this seems to be nil - And yes, I've read help and R Data Import/Export and can't figure out what the colClasses syntax is. Thanks, john [[alternative HTML version deleted]]

All: How do I obtain one step ahead out-of-sample forecasts from a model using "dyn" or "dynlm" ? Thanks! Best, John [[alternative HTML version deleted]]

I have a problem with R. I try to compute the confidence interval for my df. When I want to create the plot I have this problem: Error in xy.coords(x, y, xlabel, ylabel, log) : 'x' and 'y' lengths differ. I try this code: library(dplR) df.rwi <- detrend(rwl = df, method = "Spline",nyrs=NULL) write.table(df.rwi,file="rwi.txt",quote=FALSE,row.names=TRUE)

I am a new user of R so please bear with me. I have reviewed some R books, FAQs and such but the volume of material is great. I am in the process of porting my current SAS and SVS Script code to Lotus Approach, R and WordPerfect. My question is, can you help me determine the best R method to implement the Hoaglin Outlier Method? It is used in the Appendix A and B of the fo llowing link.

I posted this to the group last year, but the problem was not fixed so I will give it another try. I use 3Com's PXE server to deploy the Fedora Core boot disk to my clients for an ftp install. I also have ghost boot disks, bios update disks, and a video bios repair disk all using the 3Com PXE server. The problem is when I try to boot a Linux kernel. With all versions of syslinux since 1.72

I have data as below.Please let me know how the ACF and Pacf used to determine the order od arima model. Is there any rules need to be followed to determine order.Please advise > turkey.price.ts Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 1.58 1.75 1.63 1.45 1.56 2.07 1.81 1.74 1.54 1.45 0.57 1.15 2002 1.50 1.66 1.34 1.67 1.81 1.60 1.70 1.87 1.47 1.59 0.74 0.82

Hi Folks! I'm struggling with dates - but enough about my personal life..... I have two daily time series files. In one (x) the date format is Y/m/d and the other (y) is d/m/y. I used read.zoo on both and they read into R with no problem. Then I use: weekdays(as.Date(x$DATE)) and get what I expect - all the days of the week in my data set. When I use:

Hi folks! How do I extract lags from a formula? An example: mod.eq<-formula(x~lag(x,-1)+lag(x,-2)) > mod.eq x ~ lag(x, -1) + lag(x, -2) > mod.eq[1] "~"() > mod.eq[2] x() > mod.eq[3] lag(x, -1) + lag(x, -2)() I'm trying to extract the lags into a vector that would be simply [1,2]. How do I do this? I'm using the dyn package to do dynamic

I'm building a custom bootdisk that I would like to boot linux or boot memtest86 (www.memtest86.com). And I'm running into some difficulties with recent versions of syslinux. All I'm doing is making a new label in syslinux.cfg called memtest and giving it kernel memtest.bin. This has worked on and off for several recent versions of memtest. It worked in 1.67, broke in 1.70(loads

Hi, Recently I've done some experiments on the LLVM/Clang code and discovered that many of our source files often include unnecessary header files. I wrote a simple tool that eliminates redundant includes and estimates benefits of doing it, and the results were quite nice: for some files we were able to save 90% of compile time! I think we want to apply some of the cleanups I found, but

Hi folks! Does anyone know why I might see something like this after running system.time? system.time(svd(Mean_svd_data)) user system elapsed 0 0 0 The data set is tiny and the function returns results instantly, but shouldn't it still give me a time? Thanks, John [[alternative HTML version deleted]]

Are these 225 compile time regressions real? It sure looks bad! Ciao, Duncan. On 01/12/11 09:39, llvm-testresults at cs.uiuc.edu wrote: > > bwilson__llvm-gcc_PROD__i386 nightly tester results > > URL http://llvm.org/perf/db_default/simple/nts/380/ > Nickname bwilson__llvm-gcc_PROD__i386:4 > Name curlew.apple.com > > Run ID Order Start Time End Time > Current 380

Dear all,I am a new user of WinBUGS and need your help. After running the following code, I got parameters of beta0 through beta4 (stats, density), but I don't know how to get the prediction of the last value of h, the variable I set to NA and want to model it using the following code.Does anyone can given me a hint? Any advice would be greatly appreciated.Best

It's also likely that a lot of '#include "foo.h"' can be replaced with 'class foo;' Especially in the transitive inclusion case, instead of removing the #include entirely. On Wed, Dec 6, 2017 at 8:38 AM, Chris Lattner via llvm-dev < llvm-dev at lists.llvm.org> wrote: > I, for one, want faster builds. > > Beyond that though, this seems like obvious