similar to: Strategy pattern: comparing Context/Specify to Given/When/Then

Has anyone done any experiments with regards to type strengthening or weakening in the context of LLVM? For example, the GWT compiler does type strengthening - that is, if you are calling a method on an interface or abstract type, and the compiler determines through live variable analysis what the concrete type is, then it goes ahead and re-writes the type information to be the stronger

Dear all, I have 3 models (from simple to complex) and I want to compare them in order to see if they fit equally well or not. From the R prompt I am not able to see where I can get this information. Let´s do an example: fit1<- lm(response ~ stimulus + condition + stimulus:condition, data=scrd) #EQUIVALE A lm(response ~ stimulus*condition, data=scrd) fit2<- lm(response ~ stimulus +

Hi there, In bundled samples\scintilla.rb, paste a long one-line text (see below) caused segmentation fault scintilla.rb:166: [BUG] Segmentation fault ruby 1.8.7 (2010-01-10 patchlevel 249) [i386-mingw32] However, It was Ok if not including last 100 or so characters (worked on 13100 characters). Cheers, Zhimin -- text copied <tbody><tr><td

Google Summer of Code has announced the opening of applications for Mentor organizations. Pamela Fox mentioned awhile ago that Mapstraction may be a good fit. http://socghop.appspot.com/ I would like to brainstorm if we have identifiable projects, and preferably even interested students, that would like to work together on putting in some applications. A couple of initial possibilities: -

Talin wrote: > For example, the GWT compiler does type strengthening - that is, if you > are calling a method on an interface or abstract type, and the compiler > determines through live variable analysis what the concrete type is, > then it goes ahead and re-writes the type information to be the stronger > type. The advantage is that it may then be able to do additional >

Dear Dirk (other users and Dave) PART 1 I finally was able to install R.3.5.1, however, I had to invoke the following sudo apt-key adv --keyserver keyserver.ubuntu.com --recv-keys E084DAB9 As this skin of Ubuntu 18.04 (Peppermint) does not seem to allow access to the bionic-cran35 repository unless this key is set and added to the system. This is odd - well for me anyway, as for other skins of

I would like y''all''s opinions on ease of implementation into Rails, quality and quantity of widgets etc between Yahoo User Interface and Google Web toolkit and ExtJS. I am just getting ready to invest a huge amount of effort into one of them and I would like to know what the community''s experience has been with these toolsets. OR.. is there a better open source set of

Dear all, I would like to implement a spatial quantile regression using instrumental variable estimation (according to Su and Yang (2007), Instrumental variable quantile estimation of spatial autoregressive models, SMU economics & statistis working paper series, 2007, 05-2007, p.35 ). I am applying the hedonic pricing method on land transactions in Luxembourg. My original data set contains

Dear Debian persons I would like enquire about whether the repository deb https://cloud.r-project.org/bin/linux/ubuntu bionic-cran35/ I tried to follow the instructions and I cannot get R3.5.1 - I get R3.4.4??? I have been able to install R3.5.1 on Ubuntu 16.02 using the xenial-cran35/ repository & so not sure if the bionic link is up to date? thanks in advance Regards Alison

Dear All, I have a problem in understanding how the interactions of 2 ways ANOVA work, because I get conflicting results from a t-test and an anova. For most of you my problem is very simple I am sure. I need an help with an example, looking at one table I am analyzing. The table is in attachment and can be imported in R by means of this command: scrd<-

Dear all, I have got two vectors coding for a stimulus presented in the current trial (mydat$Stimulus) and a prediction in the same trial (mydat$Prediciton), respectively. By applying an if-conditional I want to create a new vector that indicates if there is a match between both vectors in the same trial. That is, if the prediction equals the stimulus. When I pick out some trials randomly, I get

Dear List, This is my first post, and I'm a relatively new R user trying to work out a mixed effects model using lme() with random effects, and a correlation structure, and have looked over the archives, & R help on lme, corClasses, & etc extensively for clues. My programming experience is minimal (1 semester of C). My mentor, who has much more programming experience, but a comparable

Dear list, Following up on an earlier post, I would like to reorder a dataset and compute pairwise correlations. But I'm having some real problems getting this done. My data looks something like: Participant Stimulus Measurement p1 s`1 5 p1 s`2 6.1 p1 s`3 7 p2 s`1 4.8 p2

Hi, I am analyzing a repeated-measures Greco-Latin Square with the aov command. I am using aov to calculate the MSs and then picking by hand the appropriate neumerator and denominator terms for the F tests. The data are the following: responseFinger mapping.code Subject.n index middle ring little ---------------------------------------------------------------------------- 1 1

Hi there, I have some simple frequencies I want to plot into one graph. I had it working, and now I can't figure out whats going wrong. All the data is stored in a dataframe, and i finally managed to order the factor correctly! Each column is a variable and contains integers for the same set of values in the column that contains the headers for each row (graphLabels). So, I get the data

Dear all, I need an help because I am really not able to find over internet a good example in R to analyze an unbalanced table with Anova with repeated measures. For unbalanced table I mean that the questions are not answered all by the same number of subjects. For a balanced case I would use the command aov1 = aov(response ~ stimulus*condition + Error(subject/(stimulus*condition)), data=scrd)

Dear all, I need to understand a thing in the beheaviour of the two functions aov and anova in the following case involving an analysis of ANOVA with repeated measures: If I use the folowing command I don´t get any problem: >aov1 = aov(response ~ stimulus*condition + Error(subject/(stimulus*condition)), >data=scrd) > summary(aov1) Instead if I try to fit the same model for the

The attachment is my dataset: 1.ccc.shp (the original data) 2.ccc.gwt, which is computed by Geoda; Introduction to the variables in my data: ID: key variable; N_LATITUDE: latitude measured by GPS; E_LONGITUD: longitude measured by GPS; LIVES: attribute data I get the different result of Moran's between ARCGIS and Geoda, R, why? ARCGIS:spatial statistics tools:spatial

Dear all, how can I perform a post hoc analysis for ANOVA with repeated measures (in presence of a balanced design)? I am not able to find a good example over internet in R...is there among you someone so kind to give me an hint with a R example please? For example, the aov result of my analysis says that there is a statistical difference between stimuli (there are 7 different stimuli). ...I

That makes for an interesting problem. I cannot open port 24007 to allow RPC access. On 02/07/2018 11:29 PM, Kotresh Hiremath Ravishankar wrote: > Hi Alvin, > > Yes, geo-replication sync happens via SSH. Ther server port 24007 is > of glusterd. > glusterd will be listening in this port and all volume management > communication > happens via RPC. > > Thanks, >