similar to: Question on Counting Factors

I''ve been playing around with some easier ways of specifying conditions in active record, and have come up with a little plugin that some may find useful. Currently active record finder and calculations methods can take a :conditions option with a string or array listing some sql conditions, eg: Animals.find :first, :conditions => "name = ''Tiger''" My

Hi, I want to create variable names from within my code, but can't find any documentation for this. An example is probably the best way to illustrate. I am reading data in from a file, doing a bunch of stuff, and want to generate variables with my output. (I could make a "list of lists" and name all the elements, but I really want separate variables.) ################# #This is

For example, c("dog.is.an.animal", "cat.is.an.animal", "rat.is.an.animal"). How can I identify the common prefix is ".is.an.animal" and delete it to give c("dog", "cat", "rat") ? Thanks _________________________________________________________________ [[alternative HTML version deleted]]

Hello. I''ve read about examples on inheritance with rails. Here is an example: http://juixe.com/techknow/index.php/2006/06/03/rails-single-table-inheritance/ The way is to add a type field in the table. So if I have an Animal class with an attribute name, I can inherit from this class like: Dog < Animal, Cat < Animal, and so on. With the type field in the table I can do Dog.all,

Dear all, Please, I have a doubt regarding symbol plotting with data originating from a table. Please, see below: I have a tab delimited file called table1.txt with 4 columns: ypos animal var1 var2 5 cat gina <= lady gina \u2264 lady 7 dog bill >= tony bill \u2265 tony 9 fish dude <= bro dude \u2264 bro #I then load in the data to R: table1<-read.table("table1.txt",

Dear R users, Suppose I have an vector like this: animal <- c("Tiger","Panda") I would like to know is there any function that check for the existence of certain item in a vector. e.g. > func("Tiger",animal) # check for the existence of "Tiger" TRUE > func("Acacia",animal) #Acacia is not an item of the animal vector FALSE I know

Dear helpers, I'm trying to replace a character with a unicode code inside a data frame using gsub(), but unsuccessfully. > data.frame(animals=c("dog","wolf","cat"))->my.data > gsub("o","\u0254",my.data$animals)->my.data$animals > my.data$animals [1] "d??g" "w??lf" "cat" It's not that a data

Hi Newbie question: I have a set of data frames that I want to do the same calculations on each. I've found out that I can put them in a list and loop through the list to do the calculation, but not put the results back into each data.frame.. For example three data frames cats, dogs, birds where >cats name eats_kg 1 bob 3 2 garfield 4 3 chuck 6 and dogs and birds are similar but not

Thanks for the reply. I was just asking about in general whatever header files are there in Targets/ for different architectures are not including any function except this processRelocationRef() to be used in RuntimeDyldELF.cpp or RuntimeDyldCOFF.cpp or RuntimeDyldMachO.cpp and i think these files are the ones which are actually doing the relocation and linking work. So what purpose do these

Hi, everyone, Just wondering if someone had come up with a good way to do fuzzy searches if you use MySQL as your database (we tried switching to PostgreSQL, but that ended up adding even more problems). Ferret sounds great, but reading through the discussion it looks like we need to solve the problem of write conflicts. I just wrote a post in ruby-talk about using KirbyBase maybe to solve

Thanks for reply, it was really helpful. Can u just be more specific and tell about processRelocationRef() and resolveRelocation() in Targets/RuntimeDyld(objectfile format)(arch).h and also in RuntimeDyldELF.cpp and how the same function is implemented in different ways in both the files ? Thanks, Siddharth On Thu, Apr 20, 2017 at 8:16 PM, mats petersson <mats at planetcatfish.com> wrote:

Dear very helpful friends, It is Sunday, there is no air traffic in Europe, what better to do than try and learn me some more R. I have the following example: owner <- c(1:4) animal <- c("cat", "dog", "cat", "dog") char.1 <- c("fluffy", "playful", "mean", "stupid") food <- c("cat food",

Thanks. I am just trying to find a relocation and linking design for Hexagon architecture, whether to follow the MIPS style of relocation or other architecture style of relocation. Thats my question . Thats why i was asking about the functions and their differences Please guide. Thanks, Siddharth On Fri, Apr 21, 2017 at 8:37 PM, mats petersson <mats at planetcatfish.com> wrote: > If

Dear list, I want to perform a logistic regression analysis with multiple categorical predictors (i.e., a logit) on some data where there is a very definite relationship between one predicator and the response/independent variable. The problem I have is that in such a case the p value goes very high (while I as a naive newbie would expect it to crash towards 0). I'll illustrate my problem

I''d like to organise my active records into modules but can''t get the associations to work. The doc says that associations within the same module should work. I''ve tried using the class_name option too but still doesn''t work. Can anyone help? For example module Mod1 class Animal < ActiveRecord::Base has_many :dogs, :class_name =>

Hi Given three vectors x <- c(fish=3, dogs=5, bats=2) y <- c(dogs=1, hogs=3) z <- c(bats=3, dogs=5) How do I create a multi-way table like the following? > out x y z bats 2 0 3 dogs 5 1 5 fish 3 0 0 hogs 0 3 0 ('out' is a matrix). See how the first line shows 'x' has 2 bats, 'y' has zero bats, and 'z' has 3 bats and so on for each

Dear R People: I have the following data frame: > str(dog.df) 'data.frame': 7 obs. of 2 variables: $ V1: Factor w/ 3 levels "1/1/2000","1/2/2000",..: 1 1 1 2 2 3 3 $ V2: Factor w/ 3 levels "cat","dog","tree": 2 1 3 1 3 2 3 > dog.df V1 V2 1 1/1/2000 dog 2 1/1/2000 cat 3 1/1/2000 tree 4 1/2/2000 cat 5 1/2/2000 tree 6

Hello, supposing that I have two or three clear categories for my data, lets say pet preferece across fish, cat, dog. Lets say most people rate their preference as being mostly one of the categories. I want to do pca on the data to see three 'groups' of people, one group for fish, one for cat and one for dog. I would like to see the odd person who likes both or all three in the

Dear bugs @r; The following reproduces erroneous results on my system using R-gui: platform i386-pc-mingw32 arch x86 os Win32 system x86, Win32 status major 1 minor 4.1 year 2002 month 01 day 30 language R ##################################################### inter.gp.effect <- 0.1 animals <- data.frame(pos = 0:2) SI.model <- function(Animal.group) {

Hello All: Suppose the following little data frame: > x <- data.frame(dog = c(3,4,6,2,8), cat = c(8,2,3,6,1)) > > x$cat [1] 8 2 3 6 1 > How can I get the paste() function to do the same thing. The command below is obviously wrong > paste(x, cat, sep = "$") > Thanks, ANDREW