similar to: negatively skewed data; reflecting

Hello, I?ve got a statistical problem that I hope you can help me with. It doesn?t have to do directly with R, so if there?s another forum which would suit better, please tell me! Now here?s the problem: I want to derive confidence intervals for a variable X, which is - given the descriptive statistics - obviously negatively skewed and leptokurtic (i.e. peaked). My aim is to make a statement

Hi all: I have a question on sample size calculation of 2 groups of data. If 2 groups of data are all normal distribution, then I can use the function "n.indep.t.test.eq" from samplesize package.But if 2 groups of data are all skewed distribution, but not normal distribution,how can I calculate the sample size then? I've tried many transformation (e.g. log arcsin…) in order to

All, Can someone help me create a skewed distribution, mean = 30, with probability of selecting a random number from the distribution greater than or equal 60 equal to 10%? I need the probability density function to equal zero at zero, and have a maximum height at or near 30. Is this possible? And if it is possible, how can I adjust the distribution so that the probability of selecting a

Hi guys Is there a way in R to simulate/generate random numbers from a negative skewed and fat tailed distribution ? I would like to simulate a set of (discrete) data. Regards, Carlos Carlos http://www.nabble.com/file/p25783889/graph.png graph.png -- View this message in context: http://www.nabble.com/Simulate-negative-skewed%2C-fat-tailed-distribution-tp25783889p25783889.html Sent from the

Hi, I need to create a plot (type = "h") and then overlay a skewed-normal curve on this distribution, but I'm not finding a procedure to accomplish this. I want to use the plot function here in order to control the bin distributions. I have explored the sn library and found the dsn function. dsn uses known location, scaling and shape parameters associated with a given input

Hi, I am working on some longitudinal data in wide format and I am having a problem ordering the data columns. To expand, a subset of what I am working on is as follows; >s L.qol.0 L.qol.0.08 L.qol.0.17 L.qol.0.25 L.qol.0.5 L.qol.0.42 L.qol.0.34 1 83 86 89 92 91 87 90 >names(s) [1] "L.qol.0" "L.qol.0.08"

Hello all: Is there a way to detect in R if a dataset is normally distributed or skewed without graphically seeing it? The reason I want to be able to do this is because I have developed and application with Visual Basic where Word,Access and Excel "talk" to each other and I want to integrate R to this application to estimate confidence intervals on fish sizes (mm). I basically want to

Hi all: I have a question about the sample size calculation. It's a pilot study,which includes 2 groups(low,high),3 time point(3,6,9 monthes).Each person has 3 results which according to the 3 time points.So it's a longitudinal study. I want to calculate the minimum sample size from the pilot study, but can't find the solution since the data is highly skewed and it's a

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Dear All, I am working with skewed-t copula in my research recently, so I needed to write an mle procedure instead of using a standard fit one; I stick to the sn package. On subsamples of the entire population that I deal with, everything is fine. However, on the total sample (difference in cross-sectional dimension: 30 vs 240) things go wrong - the objective function diverges to infinity. I

Hi! I am a psychologist who suspects that the only sensible way to analyse a particular data set is to use generalised linear mixed models. I am hoping that someone might be able to point me in the right direction to find some very practical hands on documentation that might be able to talk me through actually doing such an analysis? So far in my searches the most useful document I have turned

When `length( skewed.probs ) > 200' uniform samples are generated in R-devel. R-3.5.1 behaves as expected. `epsilon` can be a lot bigger than illustrated and still the uniform distribution is produced. Chuck > set.seed(123) > > epsilon <- 1e-10 > > ## uniform to 200 then small > p200 <- prop.table( rep( c(1, epsilon), c(200, 999-200))) > ## uniform to 201

Full_Name: Peter Fischer Hallin Version: Version 1.8.1 OS: Irix64 Submission from: (NULL) (130.225.67.236) I've made a script look like this: exp <- read.table("graph/1933672048.cluster.data") exp <- as.matrix(exp) postscript("graph/1933672048.cluster.data.ps") heatmap(exp,scale="none",cexCol=0.4,cexRow=0.2,col=custom,margins=c(5,5)) The row labels

Dear R'ers, I would like to use barplot or a similar function to plot data demonstrating the distribution of the length of a kind of conservation in about 25000 DNA sequences. My data look like this: #Total sequences: 23873 0 19936 1 218 2 391 3 477 4 360 5 431 6 294 7 215 8 320 9 209 10 160 (.....) 99 0 100 1 101 0 102 0 103 1 104 0 105 0 106 0 107 0 108 0 109 1 Therefore, I would like

not sure if i misunderstood the documentation but my understanding is the -a option preserves ownership and permissions on transfer. i did a remote test and i see ownership changed is that becuase user does not exist in the remote box 4.0K drwxr-xr-x 14 zoe zoe 4.0K 2007-07-15 08:08 zoe but in the remote system they changed to 4.0K drwxr-x--- 8 boricua users 4.0K 2007-05-02 11:07

I have asked a similar question before but this time the problem is somewhat more involved. I have the following data: case;name;x 1;Joe;1 1;Mike;1 1;Zoe;1 2;Joe;1 2;Mike;0 2;Zoe;1 2;John;1 3;Mike;1 3;Zoe;0 3;Karl;0 I would like to count the number of "case" in which any two "name" a. both have "x=1", b. the first has "x=0" - the second has

As you all have undoubtedly noticed, I recently did Yet Another Merge to Apple's GCC top-of-tree. This merge was prompted by several important fixes in the "blocks" implementation. There are still many testcases that need to be moved over, but those can come at our leisure. I compiled both the "Apple way" and the "FSF way". It also passed the tests in

I''d like to use ferret to build an imap indexer and search utility, but want to check first to see if anyone else is working on this and offer my help. Anyone? Also, if you could provide any helpful pointers on indexing directories via ferret, it''ll be very much appreciated. I''m a lucene nuby. Thanks! John -- Posted via http://www.ruby-forum.com/.

I'm getting the error below on Ubuntu Hardy on ia32 on r55688. John make[3]: Entering directory `/home/regehr/llvm-gcc/build/gcc' gcc -c -g -DIN_GCC -W -Wall -Wwrite-strings -Wstrict-prototypes -Wmissing-prototypes -pedantic -Wno-long-long -Wno-variadic-macros -Wno-overlength-strings -Wold-style-definition -Wmissing-format-attribute -DHAVE_CONFIG_H -I. -I. -I../../gcc

Hi Zoe, Unfortunately, I don't have access to a x64 machine anymore, so I can't test that architecture on vmkit. Could you install a virtual machine on your machine that is x86_32? I know it has been successfully built and ran on x86_32 on different systems. Cheers, Nicolas On Wed, Jun 30, 2010 at 7:49 AM, Zoe Wolk <zoewolk at gmail.com> wrote: > Hi again Nicolas, > >