similar to: data format issue

Dear All- I am trying to merge two data files - they have different date formats and different times zones. I need to match up the date/time of the datasets and then invoke a conditional statement, such as: if dataC$mph is >= 12 then keep dataM$co23 for the corresponding time/date stamp. snippets of data files: *dataC.txt* LST in mph Deg DegF DegF2 % volts Deg

Hi, my question is really precise. I'm interested in drops of stomacal temperature (of seal pups) following milk ingestion. Temperature starts at an average of 37.8oC (sd=0.2) and drops rapidly to around 36.0oC and then stabilizes slowly to a temperature silimar to the previous one. It looks a bit like an inverse skewed bell curve. I want to find different points on that curve, and I have a

How can I tell if this is normal behaviour? Oracle imports are horribly slow, an order of magnitude slower than on the same hardware with a slower disk array and Solaris 9. What I can look for to see where the problem lies? The server is 99% idle right now, with one database running. Each sample is about 5 seconds. I''ve tried setting kernel parameters despite the docs saying that

I'm completely new at R... I have sinkhole survey data (lat, long, and elevation) and have been trying to plot a rotatable 3d plot for several hours... cannot get it right. Examples I see tend to be grid data (one elevation value per grid cell); however, my data are more random (known elevations at known (but random) x-y positions). Data format is tab separated, i.e.: lat long

I've got a list of 5 matrices that are each 5 x 6. I'd like to end up with a 5 x 6 matrix that contains the mean value of the 5 original matrices. I can do this by brute force, but there must be a better way than making each matrix into a vector and then remaking a matrix thanks very much for any help david freedman ll=list(structure(c(9.7, 17.6, 20.8, 24.1, 33.8, 14.5, 25.7, 29.8,

I have timstamped data like this: > sd[1:10,] Tstamp Density Mesh50 Mesh70 Mesh100 Mesh150 Mesh200 2 2009/02/27 07:00 30.5 0.7 10.7 21.4 32.8 41.6 3 2009/02/27 08:00 32.2 1.6 12.4 23.3 34.5 43.0 4 2009/02/27 09:00 32.7 4.8 13.0 24.0 35.1 43.5 5 2009/02/27 10:00 26.7 0.3 6.5 17.6 28.1 36.9 6 2009/02/27 11:00

Estimados Al dirigir la lectura de un folder tYA1.csv me da este error y no me percato del motivo, adjunto archivo. Espero su ayuda Saludos Jos? > setwd("D:/Public/Documents/R/bioimpedancia") > a<-read.csv("tYA1.csv",header=TRUE, sep=",", dec=".") Error in read.table(file = file, header = header, sep = sep, quote = quote, : more

Hi, I spotted an inconsistency between the output of funfits under R, more specifically "nnreg", and the one obtained under S-plus. Notice the difference in the "Root MSE", "GVC" and "GVC cost=2". As a check mark, I am also including the data summaries, confirming that I was in fact using the same data set. Here's my output from both systems:

? stato filtrato un testo allegato il cui set di caratteri non era indicato... Nome: non disponibile Url: https://stat.ethz.ch/pipermail/r-help/attachments/20071014/8b7a455c/attachment.pl

Hi I have a dataset which is like this: ID X1 Y1 Z1 X2 Y2 Z2 1 32 127 85 31.7 121 85 2 37.9 153 88 34.6 137 90 3 36.8 134 88 36.1 155 97 4 31.4 136 87 29 113 70 I would like draw the arrow or segment line for each ID from (x1, y1, z1) to (x2, y2, z2) Is there a way to do this kind of 3-D graph. Thank you -- View this message in context:

Dear R-user: After the fitting the Tobit model using zelig, if I use the following command then I can get the regression coefficents: beta=coefficients(il6.out) > beta (Intercept) apache 4.7826 0.9655 How may I extract the "Naive SE" from the following output please? > summary(il6w.out) Call: zelig(formula = il6.data$il6 ~ il6.data$apache, model =

Hello. I am new R user, so this question is probably quite stupid, but for the life of me I cannot figure out how to get predications using multivariate linear regression analysis. Single variable predictions work fine. I am trying the following: -- Known y's for known x's1 and x's2 ys <- c(133890, 135000, 135790, 137300, 138130, 139100, 139900, 141120, 141890, 143230, 144000,

Dear group members, I want to compare response variables ("logAUC") of two groups (treatment "Test", "Reference") of a subset ("period == 1") in dataframe "resp" (below): sequence subject period treatment AUC logAUC 1 RT 1 1 Reference 44.1 3.786460 2 RT 1 2 Test 39.1 3.666122 3 RT 2

Hello, It's an alternative to use SAS by function in R? I want to plot d histograms by plot.from example bellow: Thank you! plot d 1 1 16.3 2 1 25.0 3 1 57.8 4 1 17.0 5 2 10.8 13 2 96.4 17 3 76.0 18 3 32.0 19 3 11.0 20 3 11.0 24 3 106.0 25 3 12.5 21 4 19.3 22 4 12.0 26 4 15.0 27 5 99.3 32 7 11.0 36

Hi friends. Package: nut Version: 2.4.1-1 Depends: libusb, openssl, neon, libgd, net-snmp Status: install user installed Section: admin Architecture: mipsel maintainer: NSLU2 Linux <nslu2-linux at yahoogroups.com> MD5Sum: c8c55a6021fea2b5f194ce4623eb2dfe Size: 1246363 Filename: nut_2.4.1-1_mipsel.ipk Source: http://eu1.networkupstools.org/source/2.4/nut-2.4.1.tar.gz Description: Network UPS

Dear useRs, i want to split a matrix having 1116rows and 12 columns. i want to split that matrix into 36 small matrices each having 12 columns and 31 rows. The big matrix should be splitted row wise. which means that the first small matrix should copy values which are in first 31 rows and 12 columns of the big matrix. similarly 2nd small matrix should contain values from 32nd to 63rd row of the

dear useRs, i have a list containing 16 matrices. i want to calculate the column mean of each of them. i tried >sr <- lapply(s,function(x) colMeans(x, na.rm=TRUE)) but i am getting the following error >Error in colMeans(x, na.rm = TRUE) : 'x' must be numeric can it be done in any other way? and why i am getting this error?? thanks in advance.. elisa [[alternative

I'm trying to understand the residuevqtrain program, and I have some questions for Monty, Erik, or anyone that understands how it's supposed to work. I captured TRAIN_RES data from an encoding of a single track (about 4:43), producing two files, residue_0.vqd (3727 lines, = 3727 points?) and residue_1.vqd (huge). I then did a run with the parameters from the usage message

I appear to be seeing the performance of a local ZFS file system degrading over a short period of time. My system configuration: 32 bit Athlon 1800+ CPU 1 Gbyte of RAM Solaris 10 U6 SunOS filer 5.10 Generic_137138-09 i86pc i386 i86pc 2x250 GByte Western Digital WD2500JB IDE hard drives 1 zfs pool (striped with the two drives, 449 GBytes total) 1 hard drive has

v1 was here: https://www.redhat.com/archives/libguestfs/2016-March/thread.html#00157 Not running the 'hwclock' command reduces boot times considerably. However I'm not sure if it is safe. See the question I posted on qemu-devel: http://thread.gmane.org/gmane.comp.emulators.qemu/402194 At the moment, about 50% of the time is consumed by SeaBIOS. Of this, about ⅓rd is SGABIOS