search for: characterizes

Hi, I am using wine 0.9 in Debian Sarge and I have got a big problem with characteres: None character can't be read. This is the image: http://www.kadmiel.com.br/personal/wts/wine.png I hope someone help me. Thanks

Dear R users, I was wondering if someone could suggest a few lines of code for my problem. I want to count the number and the length of strings of NA in a vector. For example: vec <- c(1, 2, 1, NA, NA, 1, 2, NA, NA, NA, 3, 4, NA, NA) has 2 strings of NA's of length 2 and 1 string of NA' of length 3. I can easily count the number of NA's per vector, but I am having a hard time

Hey all - Time for my silly question of the day, and before I bust out vi and dtrace... If there a simple, existing way I can observe the read / write / IOPS on a per-zvol basis? If not, is there interest in having one? Cheers! Nathan.

Hi, We have a Linux server with samba (v. 2,2,7) as PDC in a local network, configured and functioning OK with logins scripts and everything, however, when having access archives of the M$ Access in directories with more than 8 characters (sample: x:\cpdadm\desenvolvimento) appear the following message of error on screen: "Microsoft access The mechanism of database Microsoft Jet

Dear R users, I am pleased to announce that the package mfe (Meta-Feature Extractor) is now available on CRAN (https://cran.r-project.org/package=mfe). The mfe package extracts meta-features from datasets to support the design of recommendation systems based on Meta-Learning. The meta-features, also called characterization measures, are able to characterize the complexity of datasets and to

Hi, I am building a regression tree (method=anova) by using rpart package and as a final result I get the final leaves characterized by different means and standard deviations for the dependent variable. However, differently from the classification tree for categorical variables I cannot find a way to assign each observation to a leaf, i.e. I can find no frame whcih contains the observation id

Dear R users, I am pleased to announce that the package mfe (Meta-Feature Extractor) is now available on CRAN (https://cran.r-project.org/package=mfe). The mfe package extracts meta-features from datasets to support the design of recommendation systems based on Meta-Learning. The meta-features, also called characterization measures, are able to characterize the complexity of datasets and to

Good afternoon all - While making a steady progress in learning R after Matlab I encountered a problem which seems to require some extra help to move over. Basically I want to merge a data from biological statistical dataset with annotation data extracted from another dataset using an 'id' crossreference and write it to report file. The first part goes absolutely fine, I have merged both

Dear lmer users, The experiment includes 15 groups of (3 males and 1 female). The female is characterized by its quality Q1 and Q2. Each male of a group is characterized by the number of MatingAttempts (with Poisson distribution). I want to examine if male mating attempts depend on female quality. I can see from graphic exploration that the within-group heterogeneity of male attempts increases

...range of ordinate and abscissae is so different: while the theoretical quantiles range from [-2, 2] the sample quantiles on the ordinate do extent from [-20, 50]. Quite obviously some kind of transformation is done. Although i intensively RTFM i could not find, what is done here. What exactly characterizes the range of the ordinate in QQ-Plots ? cheers, Fred -- Fred Jopp | fjopp at zedat.fu-berlin.de Lab.f. Soil Zoology & Ecology | www.biologie.fu-berlin.de/bodenzoo/ Grunewaldstr. 34 | Tel. +49.30.8385.5946 D-12165 Berlin | FAX +49.30.8385.3886

On 11/21/18 12:41 PM, Nicolai Hähnle wrote: > On 20.11.18 16:38, Stephen Canon via llvm-dev wrote: >> Distribution doesn’t seem to be used by many transforms at present. >> My vague recollection is that the fast math flags didn’t do a great >> job of characterizing when it would be allowed, and using it >> aggressively broke a lot of code in practice (code which was

In the future could you please do some sort of visualization of your data, or at least provide the raw data in a machine-readable format so that others can do so? It is incredibly easy to come to incorrect conclusions when looking at lists of numbers because at any given moment you have a very localized view of the dataset and are prone to locally pattern-match and form a selection bias that

Your characterization may be true but Skype works much better than SIP when it comes to sound quality. I have SIP softphone with Asterisk server and Skype on the same workstation. Skype just works better over the same network. Ron On 12/03/2015 9:26 AM, A J Stiles wrote: > On Thursday 12 Mar 2015, Thufir wrote: >> I'm testing Asterisk at home, crummy connection. Skype works fine

Michael Felt <michael at felt.demon.nl> writes: >> I use acme.sh for all of my LetsEncrypt certs (web & mail), it is >> written in pure shell script, so no python dependencies. >> https://github.com/Neilpang/acme.sh > > Thanks - I might look at that, but as Ralph mentions in his reply - > Let's encrypt certs are only for three months - never ending circus.

Under the right circumstances, xenconsoled will corrupt its internal list of domains causing a SEGV. This is usually characterized by a rapid number of creations/destructions. The attached patch fixes this. Regards, Anthony Liguori _______________________________________________ Xen-devel mailing list Xen-devel@lists.xensource.com http://lists.xensource.com/xen-devel

Dear colleagues, I'm searching for methods to analyze spatial distributions of cells with certain properties in a regular grid. For instance, consider a grid, where a part of the cells have the property "0", and the others have the property "1". I'm looking for statistics I could use for characterizing the spatial distribution of the "1-cells". Does anyone

I have been using the ECDF function in the Hmisc package to produce cumulative distribution function plots. The problem is that for small datasets the steps "look bad" (not my characterization but from the client). Is there a way to get the same information but smoothed? I have tried the densityplot (lattice), which gives a smoothed line, but this does not give the cumulative density.

Dear all, here I need to draw all possible samples of size 2, from a population, which is characterized by c(1,4,56, 3). Sampling will be done with replacement. Is there any direct R function to faciliate this darwing? ? Thanks for your help

On Jun 27, 2013, at 9:27 AM, Renato Golin <renato.golin at linaro.org> wrote: > On 27 June 2013 17:05, Tobias Grosser <tobias at grosser.es> wrote: > We are looking for a good way/value to show the reliability of individual results in the UI. Do you have some experience, what a good measure of the reliability of test results is? > > Hi Tobi, > > I had a look at

What's the current best wisdom on how to construct confidence bounds on something like a normal probability plot? I recall having read a suggestion to Monte Carlo something like 201 simulated lines with the same number of points, then sort the order statistics, and plot the 6th and 196th of these. [I use 201 not 200 because quantile(1:201, c(0.025, 0.975)) = 6 and 196 while