similar to: Blom's approximation to rankits?

Hello, Could somebody point me, is there any function in R which returns expected values of order statistics for normal distribution? I have been looking and couldn't find it. Thanks! Anna

Dear all, I am using R 2.9.2 on Windows XP. I am undertaking a simulation study to consider methods of external validation in the context of missing covariates in the validation data set. I would like to use Royston's measure of prognostic separation as a method of external validation. Although there is no R code for this, the author informs me that it should be easy: 1. Calculate the

cor.test and SuppDists give me different P-values for the same Spearman's rho. Which is correct, or am I doing something wrong? > x <- c(44.4, 45.9, 41.9, 53.3, 44.7, 44.1, 50.7, 45.2, 60.1) > y <- c( 2.6, 3.1, 2.5, 5.0, 3.6, 4.0, 5.2, 2.8, 3.8) > cor.test(x,y,method="spearman") Spearman's rank correlation rho data: x and y S = 48, p-value =

Hello I am searching ghyper package (generalized hypergeometric distributions). Does anyone can send it to me? Regards from Mexico Lizbeth Román [[alternative HTML version deleted]]

Hi list, I am building a regression model with categorical predictor variable coded by treatment contrasts. The summary of the regression model shows that some levels are significant while others are not. The significant ones show that they are statistically significant from the basis factor (at level 0). How do we generally deal with those insignificant levels? If they are used for

Hello, I'm Carla, an italian student, I'm looking for a package to transform non normal data to normality. I tried to use Box Cox, but it's not ok. There is a package to use Johnson families' transormation? Can you give me any suggestions to find free software as R that use this trasform? Thank yuo very much Carla ____________________________________________________________ 6X

Hi All. I have R code whose functionality is being replicated within a C+ program. The outputs are to be compared to validate the conversion somewhat - however (as is always the case) I have stuffed my code with random number calls. Random uniform numbers in C+ are being produced using the (Boost) mersenne-twister generators (mt11213b & mt19937) - which is the default type of generator

Hi, i need to create a fractional factorial design sufficient to estimate the main effects. The factors may have any number of levels, let's say any number from 2 to 6. I've tried to use the library conf.design , but i cannot figure out how to write the code. For example, what is the code for a design with 5 factors (2x3x3x5x2) and only main effects not confounded? thanks in advance!

Hello, I've been searching for a method of converting Lat/Lon decimal coordinates into actual distances between points, and taking into account the curvature of the earth. Is there such a package in R? I've looked at the GeoR package, but this does not seem to contain what I am looking for. Ideally the output would be a triangular matrix of distances. Thanks in advance, Paul Brewin

This question will probably get me in trouble on theoretical grounds, but I will pose it anyway. The situation: I recently ran a field study looking for differences in sugarbeet cultivar tolerance to a specific herbicide. The study was set up so that 37 cultivars were treated with 4 different applications of the herbicide (37*4 factorial). In doing so, we found that the interaction effect was

Hi there, Sorry if this is a rather loing post. I have a simple list of single feature data points from which I would like to generate a probability that an unseen point comes from the same distribution. To do this I am trying to estimate the probability density of the list of points and use this to generate a probability for the new unseen points. I have managed to use the R density function to

I wonder if anyone knows any package enabling the transformation of Blom (data not normal) in R. Thank you! Anselmo [[alternative HTML version deleted]]

To all moderators i guess, my question was probably not clear this is not a homework, i am trying to understand R by doing some exercise in my book. I will however participate a course in R in august and thought it could be good to have some knowledge before. I hoped for help from you since i have no instructor to ask, that would have been my first choice. thanks anyway Lotta

Hello R friends, I'm wondering why I get funny qqnorm() results. It seems that they should all be reflected in the normal qqline(). For instance: if I qqnorm() bimodal or uniform data I get a sigmoidal in which the qqnorm() points lie above the qqline() at -ve theoretical quantiles, and the qqnorm() points lie below the qqline() at +ve theoretical quantiles. Yet I expect such platykurtic

Hi, I have a small Linux server PC at home (Intel Core2 Q9300, 4 GB RAM), and I''m seriously considering switching to OpenSolaris (Indiana, 2008.11) in the near future, mainly because of ZFS. The idea is to run the existing CentOS 4.7 system inside a VM and let it NFS mount home directories and other filesystems from OpenSolaris. I might migrate more services from Linux over time, but for

Dear NUT users, New ViB package version 1.3.0 for VMware 5.x has been released. What's new : - Nut upgraded to 2.7.2 - Multiple ups support. You can provide an UPS at NUT_server list in the NutUpsName vmware UserVars. Use space as a separator. NUT client will initiate a shutdown when that last standing UPS goes low batt. All UPS at NUT_server have to use the same user/password. Description

1. Emma is performing an experiment that requires individual handling of some animals. The sizes of the animals are lognormally distributed: The natural logarithms of their sizes has a normal distribution with mean 3 and standard deviation 0.4. The time (in minutes) it takes to handle each animal is given by 10 + s · 1.5 + eε for animals with s ≤ 20 20 + s · 0.8 + eε for animals with s > 20

Hi, VMware nut client package has been updated to version 1.1.0 Change are : - upsmon and upsc updated to nut-2.6.5 - ups events are now on sent to vmware syslog New URL for package is : http://rene.margar.fr/downloads/NutClient-ESXi500-1.1.0.tar.gz Link on package from NUT website should be changed. Previous version (1.0.2) was downloaded 1334 times since 28/05/2012. Best regards, Ren?

Hi, I have an Asterisk behind an OpenSIPS proxy. The proxy handles registrations and also SIP SUBSCRIBE for MWI. The Asterisk are configured to send NOTIFY to the proxy even when the SUBSCRIBE haven't been received. I can configure a user in sip.conf that works: [az5134939706] type=friend host=xxx.xxx.xxx.xxx (IP of proxy) port=5060 nat=no mailbox=1234 at customer subscribemwi=no

I am interested in a model diagnostic for logistic regression which is normally distributed (much like the residuals in linear regression with are ~ N(0,variance unknown). My understanding is that most (all?) of the residuals returned by residuals.lrm {design} either don't have a well defined distribution or are distributed as Chi-Square. Have I overlooked a residual measure or would it be