similar to: regression fit

Hi, I try to make a histogram from a variable that contains the number of shoots from about 1000 individuals from a specific plant species (the range is 1-110). Those numbers are highly skewed to the right. My question is: how can I make my own classes with the lattice "histogram"? I tried it with "breaks=c(0,5,10,15,20,25,110)" but my "25-110"-class is presented

I have data on number of vines per tree for ~550 trees. Over half of the trees did not have any vines and the data is fairly skewed (median = 0, mean = 1.158, 3rd qu. = 1.000). I am attempting to investigate whether plot location (four sites), species (I'm using only the four most common species), or tree dbh has a significant influence on the number of vines per tree. When I

Dear list, I am using the hurdle model for modelling the habitat of rare fish species. However I do get an error message when I try to model my data: > test_new1<-hurdle(GALUMEL~ depth + sal + slope + vrm + lat:long + offset(log(haul_numb)), dist = "negbin", data = datafit_elasmo) Error in hurdle(GALUMEL ~ depth + sal + slope + vrm + lat:long + offset(log(haul_numb)), :

I am going to try out a tentative clustering of some feature vectors. The range of values spanned by the three items making up the features vector is quite different: Item-1 goes roughly from 70 to 525 (integer numbers only) Item-2 is in-between 0 and 1 (all real numbers between 0 and 1) Item-3 goes from 1 to 10 (integer numbers only) In order to spread out Item-2 even further I might try to

Hello, I also try to fit a skewed distribution (like skewed student t) to data points. Do you have an idee howto do this??? thank you fabrice dusonchet *********************************************************************************** This email and any files transmitted with it are confidentia...{{dropped}}

Hi! I uploaded a tentative patch for the following bug in LV (https://bugs.llvm.org/show_bug.cgi?id=34965) but I have some concerns about it. I would appreciate if someone with more experience in SE/PSE can provide some feedback about current tentative fix and alternative solutions described in the comments. Thanks! Diego Caballero, Intel Vectorizer Team

Looks like this is indeed related to r360841. In C, there are distinctions between declarations, definitions and tentative definitions. Global variables declared with "extern" are declarations. Global variables that don't have "extern" and have initializers are definitions. If global variables have neither "extern" nor initializers, they are called tentative

Hello I want to predict wing length using regression commands. (lm and predict) The data details are as followed Data: Bird physiological data 1. body mass 2. body length 3. wing length Data type: Order A: consisting of 20 species, body mass and length of all 20 species are measured Order B: consisting of 2 species, body mass and length of only 1 species is measured Order C:

Hi Teresa, Can you please let me know if there is any update on this issue. Thanks M Suresh From: Teresa Johnson <tejohnson at google.com> Sent: Tuesday, June 11, 2019 7:23 PM To: Rui Ueyama <ruiu at google.com> Cc: Mani, Suresh <Suresh.Mani at amd.com>; llvm-dev <llvm-dev at lists.llvm.org> Subject: Re: [llvm-dev] Expected behavior of lld during LTO for global symbols

I have the following data set, and I have to find the line of best fit using this equation, y = a*(1 - exp(-b*x)). samples = seq(1,20,by=1) species = c(5,8,9,9,11,11,12,15,17,19,20,20,21,23,23,25,25,27,27,27) plot(samples,species, main = "Accumulation Curve for Tree Species Richness", xlab = "Samples", ylab = "Number of Species") curve((y = 27*(1 -

Thanks for the info Teresa, Regards M Suresh From: Teresa Johnson <tejohnson at google.com> Sent: Thursday, June 20, 2019 7:15 PM To: Mani, Suresh <Suresh.Mani at amd.com> Cc: Rui Ueyama <ruiu at google.com>; llvm-dev <llvm-dev at lists.llvm.org> Subject: Re: [llvm-dev] Expected behavior of lld during LTO for global symbols (Attr Internal/Common) [CAUTION: External

The tentative date for the next Cambridge LLVM Social is Wed 22nd October, 7:30pm at the Cambridge Blue. http://www.the-cambridgeblue.co.uk/blueroadmap.html If you haven't done so yet, you can subscribe to our calendar to know when the next one will be: https://www.google.com/calendar/embed?src=as5fh066i94qthrkct1lv7rojo%40group.calendar.google.com&ctz=Europe/London Most people feel

Hi all, Just wanted to give a quick update on the plan for the 3.6 release. I had hoped to have at least posted a schedule by now, but I also don't want us to have two releases in flight at the same time, so the plan is to wait until 3.5.1 is done. My tentative plan is to branch early January. Please let me know what you think. Cheers, Hans

Hello, I use ubuntu 10.04 LTS - le Lynx Lucide and wine 1.1.42 (windows not installed and application default parameters : win98). i've tried to install microsoft money 97 that seems to work correctly (100% ok) until the end of the process when the following message (in french) appears : "la tentative d'enregistrement automatique de SCHANNEL.DLL dans la base de registres du

Hello Everyone, 3 weeks back we (most of the maintainers of Gluster projects) had a meeting, and we discussed about features required for Gluster 4.0 and also the possible dates. <https://hackmd.io/GwIwnGBmCsCM0FoDMsAcBTBAWADLLCYATLJiOmBVgMYAmAhvbLUA#summary> Summary: - It is agreed unanimously that the Gluster 4.0 should be feature based release, and not just time based. -

Dear All, Suppose that you are trying to create a binary logistic model by trying different combinations of predictors. Has R got an automatic way of doing this, i.e., is there some way of automatically generating different tentative models and checking their corresponding AIC value? If so, could you please direct me to an example? Thanks in advance, Paul

Hi; I would like to fit a contiuous right skewed dist. to a set of data. So, I want to use MLE or Robust estimation of the parameters, then use A-D or K-S test or Robust alternative for the goodness-of -fit. Also I would rank the fitted distributions according to the p-value of the test. Does anyone know how I do this in R. any backages of Robust estimation and for goodness-of-fit? Thank you

On 30 July 2012 09:34, Renato Golin <rengolin at systemcall.org> wrote: > The tentative date for the next Cambridge LLVM Social is Wed 22nd > October, 7:30pm at the Cambridge Blue. Of course, I meant August. Thanks Igor for the correction!! -- cheers, --renato http://systemcall.org/

Could we aim for mid/late January? I'd like our target triple problems to be sorted out for LLVM 3.6 if I can and early-January doesn't leave many working days to get that finished. Especially given that many people take some holiday around Christmas and New Year. > -----Original Message----- > From: llvmdev-bounces at cs.uiuc.edu [mailto:llvmdev-bounces at cs.uiuc.edu] > On

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