similar to: a bug with Student t-value??

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Hello, I am trying to calculate and plot mean and confidence intervall for a set of data. This is the code that I am currently using: means <- sapply(data, mean, na.rm=TRUE) n <- sapply(data,length) stdev <- sqrt(sapply(data, var, na.rm=TRUE)) ciw <- qt(0.98, n) * stdev / sqrt(n) par(mgp=c(2,0.6,0), las=2, fin=c(7,3), mai=c(1,0.5,0.2,0.2), cex=0.8) plotCI(x=means, uiw=ciw,

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i have converted my data into date format like below: > day=as.Date(originaldate,"%m/%d/%Y") > day[1:5] [1] "2008-04-12" "2011-07-02" "2011-09-02" "2008-04-12" "2008-04-12" I wish to select only those observations from 2007 to 2009, how can I select from this list? [[alternative HTML version deleted]]

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Dear all, I am a relative novice with R, so please forgive any terrible errors... I am working with a GLM that describes a response variable as a function of a categorical variable with three levels and a continuous variable. These two predictor variables are believed to interact. An example of such a model follows at the bottom of this message, but here is a section of its summary table:

Dear R users. I have zoo object "size_june" containing market-capital values: > dim(size_june) # market-cap data of 625 firms for 20 years [1] 20 625 > class(size_june) [1] "zoo" > size_june # colnames = "size.firmcode" size.34020 size.4710 size.11050 size.10660 size.9540 size.8060 size.16160 size.8080 size.9280 1988-06-30 NA

it takes 5 seconds to copy 20M files from one directory to another.However it only takes no more than 1 second in the ext2 filesystem. --http://www.eyou.com --Îȶ¨¿É¿¿µÄÃâ·Ñµç×ÓÐÅÏä ÓïÒôÓʼþ Òƶ¯ÊéÇ© ÈÕÀú·þÎñ ÍøÂç´æ´¢...ÒÚÓÊδ¾¡

Hello, I want to arrange data from a table to perform a simple regression. All the examples I saw deal with paired data, e.g. 'x' and 'y' have the same dimensions (e.g. 5 values for x and 5 for y). But I have more than one 'y' for each 'x' value, e.g. the data file has a x = 0, 30, 60, and 120 columns. And for each of them I have several replicate responses (e.g.

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Dear R-helpers, I want to smooth a scatter plot (or 2d histogram) to generate the density map using a squared Euclidean kernel function, with each data point contributing a density of 1/(r*r + k) to each cell on the heatmap, where r*r?was the squared Euclidean distance between the coordinates of the cell and the coordinates of the point, and k was a constant smoothing factor. There is figure to

Hi,Dear all R experts, As far as I know, fitdistr() is only to estimate the parameters in univariate distributions. I have a set of data (x,y) and I assume it follows a bivariate weibull distribution. Could someone tell me a function in R that is suitable for parameter estimation in multivariate cases? Thanks in advance! Cheers, YAN

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I have a txt file (attached) that defines equivalents among characters in latin1 (or iso-8859-1), numeric &#xxx; codes, HTML entities and latex equivalents. A portion of the file is shown inline below, but may not be rendered well in this email. I'd like to read this into R to use as a character translation table, but am stuck on two things: - The 5 fields in the file are

Consider a matrix like > ma = matrix(10:15, nr = 3) > ma [,1] [,2] [1,] 10 13 [2,] 11 14 [3,] 12 15 I want to rearrange each column according to row indexes (1 to 3) given in another matrix, as in > idx = matrix(c(1,3,2, 2,3,1), nr = 3) > idx [,1] [,2] [1,] 1 2 [2,] 3 3 [3,] 2 1 The new matrix mb will have for each column the

Dear R-help, I am having trouble with your scatterplot3d program. For help with this problem I was directed to your address by Martin Maechler at " r-core-bounces at r-project.org." I'm also sending a CC to " r-core-owner at r-project.org" as I'm not yet certain of the proper address to use for this. I have R version 2.8.1 and have downloaded 'scatterplot3d.'

Ever since xen-unstable cset 14308 ("pci back: Fix registration of of filters on subsections of config space") I''ve been getting an MCA on the *2nd* boot of a driver domain using an e1000 NIC. Cset 14308 allowed the proper setup of the PM control registers, so the NIC is put in the D3 power state when the driver domain shuts down. Unfortunately, pci_set_power_state()

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 list, I don''t trust theoretical benchmarks that much and prefer "real-life benchs" on the occasion, so here''s mine: Given 4 laptops, the most powerful of which was running BTRFS and the others ext3 or ext4, all machines running Ubuntu 11.04 Natty 32-bit with a stock Ubuntu 2.6.38-11 kernel, all machines were given the following FS-intensive task : - Upgrade