similar to: Newbie: Selecting data

There must be a better way to select the rows after 22-Apr-2004 and before 01-Sep-2004 with a temperature below 65 than this: > before2sw1 <- subset(energy.data, as.Date(start, format="%d-%b-%y") < as.Date("01-Sep-04", format = "%d-%b-%y")) > before2sw2 <- subset(before2sw1, as.Date(start, format="%d-%b-%y") >=

I received a private request for my complete dataset from my previous questions. In gratitude to the developers of R, and especially to the helpful members of r-help, I'm happy to attach it. Anyone is free to use this dataset in any manner they wish, including published books. Attribution is not required, or even desired. Explanatory notes on dataset: This data is collected from monthly

I am getting a difference in results when running some analysis using by and tapply compare to using a for loop. I've tried searching the web but had no luck with the keywords I used. I've attached a simple example below to illustrates my problem. I get a difference in the mean of yvar, diff and the p-value using tapply & by compared to a for loop. I cannot see what I am doing wrong.

How can I reproduce this graph in ggplot2 (regression lines and data point superimposed). Thanks, Juliet filename="http://personality-project.org/r/datasets/heating.txt" heating=read.table(filename,header=TRUE) symb=c(19,25,3,23) colors=c("black","red","green","blue")

Dear colleagues, I have the following code. This code is to 'filter' the data set. It works on the data frame 'whole' with four numeric columns: a,b,d, and c. Every row in the data frame is considered as a point in 3-D space. Variables a,b, and d are the point's coordinates, and c is its value. This code looks at every point, builds a cube 'centered' at this

sent this to the list yesterday but didn't see it listed in the daily summary ... apologies if you receive it twice ... ________________________________ From: Afshartous, David Sent: Tuesday, June 27, 2006 10:02 AM To: 'r-help@stat.math.ethz.ch' Subject: sapply question All: I'm trying to use sapply to break up data within another function. (tapply doens't seem to work

i am having problem running my own data. yesterday it was working just fine. today it is not. this is the code i was using as an example to follow. this code ALSO worked just fine yesterday, and is no longer working at all. i suspect it is a problem with either my computer or the software, at this point. if THIS won't even run.... something is wrong. i can assure you this isn't

Hi all, First I dont have much experience with R so be gentle. OK, I am dealing with a dataset (~ tens of thousand lines, each line ~ 10 columns of data). I have to create some subset of this data based on some certain conditions (for example, same first column with another dataset etc...). Here is how I did it: # import data dat <- read.table( "test.txt", header=TRUE,

is there a way to use the actual index value for plotting zoo objects this is the way that the index is set up and a sample range of what I would like to plot 01/01/06 00:00:00 - 01/01/06 23:45:00 { library(zoo) # chron library(chron) fmt.chron <- function(x) { chron(sub(" .*", "", x), gsub(".* (.*)", "\\1:00", x)) }} x <- structure(c(15.57, 15.5,

Hello, many linux SW is starting to implement new lzma compresson instrad of old zlib (gzip) od bzip2. lzma is default comrpession in very good compression SW 7-zip, which is faster and have higher compression ratio then bzip2 or rar. Currently its probalby the best compressor in therms of compression and decompression speed / compression ratio. In linux there is GNU lzma SW which implements

R Help - I'm trying to run a correlation matrix with a covariate of "age" and will at some point will also want to covary other variables concurrently. I'm using the "psych" package and have tried other methods such as writing a loop to extract semi-partial correlations, but it does not seem to be working. How can I accomplish this? library(psych) > set.cor(y =

Hi everybody, I'm a beginner R user and I'm trying to use the package "sapa" to estimate the spectral density function of several time series using the SDF function. For each time series, I want to calculate the density function at two temporal resolutions (daily and monthly). The monthly values calculated as a mean of the daily values. I first create a ts object for both series

Hello, I am new to R and am having difficulty formatting numerical output from a regression analysis. My code iteratively performs linear regression on a dataset while excluding certain data ranges. My code: rm(list = ls(all = TRUE)) sink("outfile") dat <- read.table("testdat", sep="\t", header=TRUE) int = 0.2 for (x in c(0:20)) { subdat <- subset(dat, time

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Dear R Help, I am attempting to make a plot of longitudinal data, a sample data frame of which is shown below. I'd like to show all of the subjects in the same plot, with a set of connecting line segments for each subject. 'age' would be the x-axis and 'score' would be the y-axis. subject age score 1 10123 12 51.06 2 10123 14 50.00 3 10123 15 62.22 4

Is the only option for responding to posts in this group to receive ALL of the messages posted in this group by email?

Dear all, As I am new to the R community - although eager to advance- I would like to pose a question to the community. I have an SPSS file which I have imported it in R (with the read.spss command) which conists of scale (continuous) variable "adiponectin" and the corresponding categorical value "death" (0=No, 1=Yes). In all there are 60 observations (among which

Hi: I am practicing with the attached shapefile and was wondering if I can get some help. Haven't used 'rgdal' and 'maptools' much but it appears to be a great way bring map data into R. Please take a look at the comments and let me know if I need to explain better what I am trying to accomplish. library(rgdal) library(maptools) library(ggplot2) dsn="C:/Documents and

I have a set of 52 weekly values, one is the desired high lake stage for a week, and the other is the desired low lake stage for each week. It looks like this: week High Low 1 16 14.5 2 16 14.5 3 15.95 14.45 4 15.84 14.34 5 15.73 14.23 6 15.61 14.11 7 15.5 14 8 15.38 13.88 9 15.25 13.75 10 15.13 13.63 .... 52 15 13.5 I can plot out two nice curves

I am fighting this issue: Bug 1540376 ? Tiered volume performance degrades badly after a volume stop/start or system restart. https://bugzilla.redhat.com/show_bug.cgi?id=1540376 Does anyone have any ideas on what might be causing this, and what a fix or work-around might be? Thanks! ~ Jeff Byers ~ Tiered volume performance degrades badly after a volume stop/start or system restart. The