similar to: Estimating the variability of a population by one sample?

Hi All, is there Levene' test in R ? If not ,Could you give me some advice about Levene test with R? Thanks a lot! I am waiting for yours.

Hi all, I am a freshman of R,but I am interested in it! Those days,I am learning pages on NIST,with url http://www.itl.nist.gov/div898/handbook/eda/section3/probplot.htm, I am meeting a problem about probability plot and I don't know how to plot a data set with R. Could somebody tell me the answer,and a example is the best! I will look forward to your answer. Thank you very much.

Hi all, I want to visit MySQL in R use RMySQL package on Windows 2k.I got RMySQL and DBI packages from a cran,but only the package RMySQL is built on MasOS.I extracted both and put them under the folder of "library",started R and typed string as , >require(RMySQL); R told me DBI was loaded,but RMySQL was't loaded because R not found it. Thank very much! along

thanks to all for the 2d scatter plot. i have one more. how do i plot 'hist(y1, col="red") and hist(y2,col="blue") in the same window? thanks again.

It sounds as thought you are interested in Hoyt's Anova which is a form of generalizability theory. This is usually estimated using by getting the variance components from ANOVA. > -----Original Message----- > From: r-help-bounces at stat.math.ethz.ch > [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Karl Knoblick > Sent: Tuesday, May 16, 2006 6:10 AM > To: r-help at

Dear list members; The code given below corresponds to the PCA-NIPALS (principal component analysis) algorithm adapted from the nipals function in the package chemometrics. The reason for using NIPALS instead of SVD is the ability of this algorithm to handle missing values, but that's a different story. I've been trying to find a way to improve (if possible) the efficiency of the code,

Modification from V2 to V3: Use a more pefect code suggested by Joel. Thank Joel for it. In ocfs2/xattr, we must make sure the xattrs which have the same hash value exist in the same bucket so that the search schema can work. But in the old implementation, when we want to extend a bucket, we just move half number of xattrs to the new bucket. This works in most cases, but if we are lucky enough we

Dear All, I would like to plot text with a box around it. I used strwidth and strheight to compute the size of the box which is plotted with rect: z <- rnorm(10) # horizontal text works plot(rnorm(10)) x1 <- 5 y1 <- 0 label <- "Label" cha <- paste(" ", label, " ", sep = "") xh <- strwidth(cha, cex = par("cex")) yh <-

When the extended attribute namespace grows to a b-tree, the leaf clusters are organized by means of 'buckets'. Each bucket is 4K in size, regardless of blocksize. Thus, a bucket may be made of more than one block. fs/ocfs2/xattr.c has a nice little abstraction to wrap this, struct ocfs2_xattr_bucket. It contains a list of buffer_heads representing these blocks, and there is even an

Hi, This is a late announcement for a package that has been up on CRAN since Feb 2006. The package is called ssanv and it calculates sample sizes for two group tests with adjustments for nonadherence and variability of the input parameters. As an example, suppose you want a sample size for a two group difference in normal means but you get your estimate of your variance from a previous study.

Hi, This is a late announcement for a package that has been up on CRAN since Feb 2006. The package is called ssanv and it calculates sample sizes for two group tests with adjustments for nonadherence and variability of the input parameters. As an example, suppose you want a sample size for a two group difference in normal means but you get your estimate of your variance from a previous study.

Tristan, could you please run your xattr test against it? xs->base used to be allocated a 4K size and all the contents in the bucket are copied to the it. So in ocfs2_xattr_bucket_set_value_outside, we are safe to use xs->base + offset. Now we use ocfs2_xattr_bucket to abstract xattr bucket and xs->base is initialized to the start of the bu_bhs[0]. So xs->base + offset will overflow

Hi, I have fixed the problems in version 1 patches. These two patches based on the latest main line kernel. Thanks, tiger > For EAs data structure in inode/block are little different from them in > bucket. These two patches try to make them same for the most part. > > The first patch set xh_free_start and xh_name_value_len when EAs in > inode/block. xh_free_start is useful to

I just discovered the great piece of software that is available with the survey package. Many thanks and 'Hats off' to Thomas Lumley. While package survey covers analysis of features of objects sampled (in clusters, strata) I could not find analysis of features of repeated relationsships between sampled objects (in clusters, strata). My understanding is that it is not adequate to treat

I am trying to confirm that the sample is not different from the population with respect to geographical respresentation for the following data: region population sample n_total s_total 1 north 1244 232 9077 1032 2 south 4333 100 9077 1032 3 east 1500 200 9077 1032 4

Hi, For EAs data structure in inode/block are little different from them in bucket. These two patches try to make them same for the most part. The first patch set xh_free_start and xh_name_value_len when EAs in inode/block. xh_free_start is useful to keep the minimum offset of the xattr name/value. But xh_name_value_len is not very useful because we don't have "hole" when EAs in

Basically, we have a population of 4,392 documents and we want to find out the number of patents per document. We don?t want to go through all 4,392 documents, but want a reliable sample size from which to draw inferences. I feel like this count data will not follow a normal distribution, but more like a Poisson (skewed right.) The problem is we don?t have much similar data to this data set, so

This seems like it should be obvious, but searches I've tried all come up with rnorm etc. Is there a way of generating normally-distributed 'population' data with known parameters? Cheers, CB.

Hi, In Splus7 this statement xlrmN1 <- sample(c(0,1,2),400 ,prob=c(0.02 ,0.93 ,0.05 )) worked fine, but in R the interpreter reports that the length of the vector to chose c(0,1,2) is shorter than the size of many times I want to be selected from the vector c(0,1,2). Any good reason? See below the error. > xlrmN1 <- sample(c(0,1,2),400 ,prob=c(0.02 ,0.93 ,0.05 )) Error in

This patch set a gap (4 bytes) between xattr entry and name/value when xattr in bucket. This gap use to seperate entry and name/value when a bucket is full. It had already been set when xattr in inode/block. Signed-off-by: Tiger Yang <tiger.yang at oracle.com> --- fs/ocfs2/xattr.c | 18 ++++++++++-------- 1 files changed, 10 insertions(+), 8 deletions(-) diff --git a/fs/ocfs2/xattr.c