search for: statitical

I would like to buy a basic statistics book (experimental design, sampling, ANOVA, regression, etc.) with examples in R. Or download it in PDF or html format. I went to the CRAN contributed documentation, but there were only R textbooks, that is, textbooks where R is the focus, not the statistics. And I would like to find the opposite. Other text I am trying to find is multivariate data

Hi ! mu name is Paolo and I teach statistic in a small college in Brazil and we use Linux. We started to use R as our statitical software. I,ve been trying to use some commands I see in the documentation online but i doesn not work. Commands like simple.hist.and.boxplot and others related with graphing. Do I need a special ppackage ? how do I load it ? Thanks

Hi, I am running the following example which can be found on page 12 of the pdf file of COIN package wt<-wilcox_test(pd~age,data=water_transfer,distribution="exact", conf.int=TRUE) "wt" actually contains the estimate of difference in location and the confidence interval of it. I am just wondering how can I extract these values? From the examples, I understand that the

Dear All, I am economist and working on poverty / income inequality. I need descriptive statitics like the ratio of education expentitures between different income quintiles where each household has a different weight. After a bit of google search I found 'Hmisc' and 'quantreg' libraries for weighted quantiles. The problem is that these packages give me only weighted quintiles;

Hi All I have to run multiple stimations and to compute Likelihhod ratio. If I compute ls function with coef and summary I can extract "outputs" that I need. I am not able to find something similar to log liklihood.... Can you pease tell me running a ls function x on y how to extract if posible LR statitic or Likelihood or Log likelihood. Many thanks in advance. If you send me

hello all, for my diploma-thesis i want to statitically analyze near-infrared-spectra. a spectrum is given by the y-values of 1038 equi-distant x-points. in nature, a spectrum is a continuous curve. for analysis, every x-point is seen as a statistical variable. now my problem: first, i read a csv-table in a data.frame called sTable via read.table. b...

(There really doesn't seem to be a dedicated e2fsprogs list, so this was the next-best place I could find. I don't place much faith in the sourceforge forums..) The filesystem in question is a 480 gig ext3 partition, on a hardware RAID5 controller. It's approximately 90% full, with something like 115K files. Kernel 2.4.20-pre4, on a Duron 900. As I type this, e2fsck has used up

On 17/11/2014 07:23, Ron Leach wrote: > On 16/11/2014 07:24, Robert Schetterer wrote (re-ordered): >> Am 16.11.2014 um 02:24 schrieb Reindl Harald: >> >>> * if you find a security issue in postfix running >>> on 587 over TLS cry out loud > > I'm thinking beyond that; I want to get to the position that when > there is an issue in the MTA, our

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 On Wed, 26 Nov 2014, Mark Homoky wrote: > On 17/11/2014 07:23, Ron Leach wrote: >> On 16/11/2014 07:24, Robert Schetterer wrote (re-ordered): >>> Am 16.11.2014 um 02:24 schrieb Reindl Harald: >> >> Off topic for Dovecot list, but I might think instead about separate >> inbound and outbound MTAs to achieve

Hi, I am having some trouble to find the correct syntax in R for analysing my results. I am running a experiment in which we measure the force exerted by the subjects (the independent variable) under two different fixed factors. Each factor has two levels, so that each subject participated to several repetitions of those four kinds of trials. I think that I should consider the subjects here as

Does anyone have any log analysis tools? I'm currently configured with "log file = /usr/local/samba/var/log.%m", which makes identifying issues with any one client easy, but doesn't provide me with an overall picture of what has been happening. What I'd like to be able to produce is a report showing, for a given unit time, the total number of clients that have connected,

Dear UseRs, Suppose I have data regarding smoking habits of a prospective cohort and wish to determine the risk ratio of colorectal cancer in the smokers compared to the non-smokers. What do I do at the end of the study with people who die of heart disease? Can I just censor them exactly the same as people who become uncontactable or who die in a plane crash? If not, why not? I'm thinking

my teachers doesnt understand R and I don't know how to use SAS. Anyone interested in translating my codes to test whether your SAS codes are as good as R??? I can test it on SAS codes once you have translated it .... regards:working: -- View this message in context: http://old.nabble.com/Translation-from-R-codes-to-SAS.-tp26486117p26486117.html Sent from the R help mailing list

Hello. We''re currently using a Sun Blade1000 (2x750MHz, 1G ram, 2x160MB/s mpt scsi buses, skge GigE network) as a NFS backend with ZFS for distribution of free software like Debian (cdimage.debian.org, ftp.se.debian.org) and have run into some performance issues. We are running SX snv_48 and have run with a raidz2 with 7x300G for a while now, just added another 7x300G raidz2 today but

Hi This is a question regarding classification performance using different methods. So far I've tried NaiveBayes (klaR package), svm (e1071) package and randomForest (randomForest). What has puzzled me is that randomForest seems to perform far better (32% classification error) than svm and NaiveBayes, which have similar classification errors (45%, 48% respectively). A similar difference in

Guys (and girls), I\'ve been testing Ogg Vorbis quality at home, and I thought I\'d share the results with you. For those who want the conclusion, Vorbis 1.0 RC3 sounds better than LAME 3.70 vbr/cbr (which I\'m told now that it\'s broken for VBR), at less bitrate, however, it\'s not perfect (and probably never will, since it\'s a lossy audio codec) and could use some