search for: grubbs

...9;t know much about statistics, but now I have to analize some data and I've got some first queries yet: I have 5 sets of area mesures and each set has 5 repetitions. My first step is to check data looking for outliers. I've used the outliers package. I have to use the cochran test and the grubbs test in case I find any outlier. The problem is that I don't know how to interpret the results. Cochran test finds an outlier among variances. Grubbs test finds an outlier within the set of measures wich corresponds to the variance that is an outlier. I repeat the Cochran test discarding that m...

Hi! I'm trying to implement an outlier test once/row in a large dataframe. Ideally, I'd do this then add the Pvalue results and the number flagged as an outlier as two new separate columns to the dataframe. Grubbs outlier test requires a vector and I'm confused how to make each row of my dataframe a vector, followed by doing a Grubbs test for each row containing the vector of numbers I want to perform the outlier test on. I'm new to R and no doubt this is a simple problem. Any help you might provide...

I have a statistical question. The data sets I am working with are right-skewed so I have been plotting the log transformations of my data. I am using a Grubbs Test to detect outliers in the data, but I get different outcomes depending on whether I run the test on the original data or the log(data). Here is one of the problematic sets: fgf2p50=c(1.563,2.161,2.529,2.726,2.442,5.047) stripchart(fgf2p50,vertical=TRUE) #This next step requires you have the...

...en test whether there are any ouliers. If so, remove the outliers, and wait until I have at least 6 data points or when the sample size increases and test again whether there are any outliers. This process is repeated until there are no more data points to add to the sample. Is it valid to use the grubbs.test in this way? If not, are there any tests out there that might be appropriate for this situation? Rosner's test required that I have at least 25 data points which I don't have. Thank you in advance for any help. Dave

Hi, I am a new user of R. This is a conceptual doubt regarding screeing out outliers from the dataset in regression. I read up that Cook's distance can be used and if we want to remove influential observations, we can use the metric (>4/n) (n=no of observations) to remove any outliers. I also came across Grubb's test to identify outliers in univariate distns. (assumed normal) but i

I have been learning about some outlier tests -- Dixon and Grubb, specifically -- for small data sets. When I try help.start() and search for outlier tests, the only response I manage to find is the Bonferroni test avaiable from the CAR package... are there any other packages the offer outlier tests? Are the Dixon and Grubb tests "good" for small samples or are others more

Hello all, I would like to rigorously test whether observations in my dataset are outliers. I guess all the main tests in R (Grubbs) impose the assumption of normality. My data is surely not normal, so I would like to use something else. As far as I can tell from wikipedia, Peirce's criterion is just that. The data I am interested in testing is: 1) Continuous on the unit interval 2) Discrete 3) Ordinal on 0 6. If you ne...

The R translation teams have done a great job in making R usable for people who do not have English as their mother tongue. However, even within English speaking countries, there are groups which have trouble with the language, and it may be valuable to support the Sociolects of these groups too. Thanks to a generous contribution from Lars Polifo, these features will be made available in an

Full_Name: Richard L. Grubb Version: 1.7.0 OS: AIX 4.3.3 Submission from: (NULL) (130.76.96.17) src/modules/lapack/Makefile executes the tools/ldAIX4 script and supplies, as arguments to ldAIX4, several object file names with filename extensions of .lo. The ldAIX4 script did not generate the file etc/Rlapack.exp until I changed ldAIX4 as follows: Original context: # Check for object or archive

...but simply to the performance of the subject (possibly related to his medical history, but I have no way to determine that with certainty). This subject is signaled to be an outlier within its group: averaging the pre and post values for the performance of the subjects in his group, the Grubbs test yields a probability of 0.002 for the subject to be an outlier (the subject is marked as a significant outlier also if I perform the test separately on the pre and the post data). If I remove this subject from its group, I get significant effects of Group and Group X Age (not using the...

Hello, I pulled the latest from cvs today and ran several tests and added more options to the CFLAGS in the Makefile. To start with, I ran valgrind against sshd & it comes up with this: ==24959== 112 bytes in 1 blocks are definitely lost in loss record 297 of 310 ==24959== at 0x40164650: malloc (vg_clientfuncs.c:100) ==24959== by 0x807A0D1: compat_init_setproctitle (setproctitle.c:236)

...ng R – Kloke & McKean · Numerical Methods in Science and Engineering Using R – Bloomfield · Extended Rasch Modeling in R: Theory and Practice – Maier, Mair & Hatzinger We look forward to hearing from you. Best regards, Rob Calver (rob.calver@informa.com) David Grubbs (david.grubbs@taylorandfrancis.com) John Kimmel (john.kimmel@taylorandfrancis.com) -------------------------------------------------------------------------------------------------------------------------------------------- The information contained in this email message may be confidential....

I just submitted a PR for this (haven't even gotten the confirmation email), but since not everyone tracks the GNATS CVS distribution, I figured that I'd send it here as well. -----Forwarded Message----- > From: Steve Grubb <linux_4ever@yahoo.com> > To: bugtraq@securityfocus.com > Subject: Xinetd 2.3.10 Memory Leaks > Date: 18 Apr 2003 16:18:36 +0000 > > >

Hello, On Thursday, September 20, 2018 11:15:04 AM EDT Duncan Murdoch wrote: > On 20/09/2018 6:59 AM, Ralf Stubner wrote: > > On 9/20/18 1:43 AM, Carl Boettiger wrote: > >> For a well-tested C algorithm, based on my reading of Lemire, the > >> unbiased "algorithm 3" in https://arxiv.org/abs/1805.10941 is part > >> already of the C standard library in

Hi Rers, W/o trying to make a long story short (I hope you read that correctly), I have been working on a nice little R function ... Somewhere along the line I got an error that refers to a max function in my function (I think this is a vector vs. scalar issue): Error in max(..., na.rm = na.rm) : invalid "mode" of argument If that's not bad enough, even when I q() R and say

Remove the db and log of sssd. Signed-off-by: Wanlong Gao <gaowanlong at cn.fujitsu.com> --- sysprep/Makefile.am | 2 ++ sysprep/sysprep_operation_sssd_db_log.ml | 50 ++++++++++++++++++++++++++++++ 2 files changed, 52 insertions(+) create mode 100644 sysprep/sysprep_operation_sssd_db_log.ml diff --git a/sysprep/Makefile.am b/sysprep/Makefile.am index

...inc, and sample output is included icecast_stats.txt (simply a print_r of the returned result). You will only need to set the value of $iceroot to allow the function to find the stats log. My icecast server is not public, so don't worry about unmodified URLs in the sample output! -Gregory J. Grubbs <p> -------------- next part -------------- A non-text attachment was scrubbed... Name: icecastlog.inc Type: application/octet-stream Size: 3438 bytes Desc: icecastlog.inc Url : http://lists.xiph.org/pipermail/icecast/attachments/20021030/b2f082e1/icecastlog.obj -------------- next part ----...

Hello, everyone, I want to ask a simple question. If I have a set of data,and I want to identify how many outliers there are in the data.Which packages and functions can I use? Thanks. Shao chunxuan. [[alternative HTML version deleted]]

...tionality was inside the openssh server so that chrooted accounts wouldn't require sftp-server to be located in their directory. In some ways it would seem that ftp over SSL would be more suitable, but there are a lot more ssh clients that support sftp than ftp clients that support ssl. -Edwin Grubbs

Hello, I have been doing some looking at openssl 0.9.7 and openssh3.5p1 and found a minor descrepancy. RAND_bytes() is called around line 69 of openbsd-compat/bsd-arc4random.c. It checks to see if the return is not zero. The RAND_bytes function can also return -1, too. All the code in openssl uses <=0 for the test rather than !. Best Regards, Steve Grubb