similar to: Merging two data sets

Hello, I have a couple questions about removing rows from a data frame and creating a new data frame with the removed values. I provided an example data frame (d) below. Questions: 1) How can I search for "-999.000" and remove the entire row from data frame "d"? (all -999 values will be in sd_diff) 2) Can I create a new data frame "d.new" that only contains the

R-Helpers, I'm sorry to have to ask this -- I've not used R very much in the last 8 or 10 months, and I've gotten rusty. I have the following (ff2 is a subset of a much, much larger dataset): > ff2 hostName user sys idle obsTime 10142 fred 0.4 0.5 98.0 2007-11-01 02:02:18 16886 barney 0.5 0.2 94.6 2007-10-25 19:12:12 8795 fred 0.0 0.1 99.8

Hi all, Hope someone could help me. I am trying to run automatically the conversion of an Rwn file to a tex file. I am using windows 7, and cygwin. I tried to run automatically the Sweave.sh script, in its the most recent version available at R webpage: http://cran.r-project.org/contrib/extra/scripts/Sweave.sh Unfortunately, I got this error message: =========================== Raquel at

maybe it's in the data? So here it comes. > sv.growth Grouped Data: length ~ meas | box_id meas spec comp water box_id sprouts leaves length long.sprout 1 1 Sv control moist 1 8.800000 37.80 211.2000 60.6 2 1 Sv xfull moist 2 7.000000 8.00 174.8000 62.8 3 1 Sv control moist 3 9.000000

I'm using R on Windows v2.0.1 with the nlme package (v3.1-53) and am finding some unexpected discrepancies in the output of intervals.lme and coef.lme. I've included a toy dataset at the end, but briefly, the data are longitudinal data from couples in marital therapy. Each spouse's relationship satisfaction is measured 4 times; I've fit both linear and quadratic models to the

All, I'm pleased to announce release 0.8.0 of Oz. Oz is a program for doing automated installation of guest operating systems with limited input from the user. Release 0.8.0 is a (long overdue) bugfix and feature release for Oz. Some of the highlights between Oz 0.7.0 and 0.8.0 are: - Optional virtualenv make target - Conversion of unittests to py.test - Replace

Hi All, Thanks to your previous assistance, I'm able to compile virt-v2v 1.42.0 on Debian testing. However, when I run `make check` tests/test-v2v-oa-option.sh fails with the following log: -8<------------------------------------------------------------------ test-v2v-oa-option.sh: info: you can skip this test by setting SKIP_TEST_V2V_OA_OPTION_SH=1 [ 0.0] Opening the source -i libvirt

Hi, I am trying to plot the Case-Shiller index found at: http://www2.standardandpoors.com/spf/pdf/index/CSHomePrice_History_022445.xls The way I'm importing it into R is as follows: library(gdata) W <- read.xls("http://www2.standardandpoors.com/spf/pdf/index/CSHomePrice_History_022445.xls ", header=TRUE) attach(W) To give you and idea of what the data looks like: >

Hi everyone, I wonder if there already exists any R packages containing all the data sets for the book "The Statistical Sleuth" (http://www.proaxis.com/~panorama/home.htm; also available at StatLib http://lib.stat.cmu.edu/datasets/sleuth). I'm writing an R package with a friend for one of our stat courses where SAS is the main tool being used. As the time is limited and half of the

Hi, Thanks for reading. I am running a process in R for microarray data analysis. RedHat Enterprise Linux 4, dual AMD CPU, 6G memory. However, the R process use only a total of <200M memory. And the CPU usage is total to ~110% for two. The program takes at least 2 weeks to run at the current speed. Is there some way we can increase the usage of CPUs and memories and speed up? Any

Hi all, I'm working with a bunch of large graphs, and stumbled across something useful. Probably many of you know this, but I didn't and so others might benefit. Using pch="." speeds up plotting considerably over using symbols. > x <- runif(1000000) > y <- runif(1000000) > system.time(plot(x, y, pch=".")) user system elapsed 1.042 0.030 1.077

Hi I am using R65.1 in Windows 95 I have a CSV file from Excell > a<-read.table("c:/heberto/mgc/tst.csv",header=T,sep=",") > attach(a) > a manolo fvcpp fevpp fvvcpp tlcpp rvpp rvtlpp plmaxpp 1 1 99.28 97.67 98.38 91.14 102.9 111.25 117.64 2 1 86.97 68.56 78.89 94.60 112.34 118.53 159.20 3 1 81.12 71.76 88.37 89.16

Hello lmer() - users, A call to the lmer() function causes my installation of R (2.11.1 on Mac OS X 10.5.8) to crash and I am trying to figure out the problem. I have a data set with longitudinal data of four subsequent performance measures of 1133 individuals nested in 88 groups. The data is in long format. I hypothesize a performance increase for each individual over time and intend to

Hello All, I would like to select records with identical IDs then sum an attribute then and return them to the data frame as a single record. Please consider Acres<-c(100,101,100,130,156,.5,293,300,.09) Bldgid<-c(1,2,3,4,5,5,6,7,7) DF=cbind(Acres,Bldgid) DF<-as.data.frame(DF) So that: Acres Bldgid 1 100.00 1 2 101.00 2 3 100.00 3 4 130.00 4 5 156.00 5

Dear List, Shouldn't result1 and result2 be equal in the following case? Note that log$RequestID is a factor. That is, is.factor(log$RequestID) yields TRUE. result1 <- tapply(log$Flag,factor(log$RequestID),sum) result2 <- tapply(log$Flag,log$RequestID,sum) Yet, when I summarize the output, I get the following: summary(result1) Min. 1st Qu. Median Mean 3rd Qu.

I?ve posted this on the forums at https://www.centos.org/forums/viewtopic.php?f=47&t=57926&p=244614#p244614 - posting to the list in the hopes of getting more eyeballs on it. We have a cluster of 23 HP DL380p Gen8 hosts running Kafka. Basic specs: 2x E5-2650 128 GB RAM 12 x 4 TB 7200 RPM SATA drives connected to an HP H220 HBA Dual port 10 GB NIC The drives are configured as one large

I'm trying to create a function which will allow me to subset a data set based on values of various specified variables. I also want to then apply some other function(s) (e.g., summary). This is what I've tried so far.... > test.fx <- function(dta, expvar, expval) { + newdta <- subset(dta, eval(expvar)>expval) + summary(newdta$eval(expvar)) + } > >

I'm struggling to find any help on this seemingly simple question - how does one read data with percentage (%) or currency (?,$ etc.) signs? When I try to read a data file which has any of those symbols in the data fields, they are read as characters rather than values. Is there a function or library which can deal with such values? As an example, I use this sample from one of chinna's

rucker222 wrote: > The drop down layer selection menu at the top left of the screen directly above where the drawing 1 tab is opens upwards off of the screen once the drawing has a few layers on it. jjmckenzie wrote: > Log file please. I loaded a drawing with plenty of layers and then clicked on the layer drop down menu a couple of times before exiting ProgeCAD. Log file below. (sorry

All of our Kafka clusters are fairly write-heavy. The cluster in question is our second-heaviest ? we haven?t yet upgraded the heaviest, due to the issues we?ve been experiencing in this one. Here is an iostat example from a host within the same cluster, but without the RAID check running: [root at r2k1 ~] # iostat -xdmc 1 10 Linux 3.10.0-327.13.1.el7.x86_64 (r2k1) 05/27/16 _x86_64_ (32 CPU)