similar to: Silence is the best answer evil.

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Hi: I have a dataframe containing comma seperated group of words such as milk,bread bread,butter beer,diaper beer,diaper milk,bread beer,diaper I want to output the frequency of occurrence of comma separated words for each row and collapse duplicate rows, to make the output as shown in the following dataframe: milk,bread 2 bread,butter 1 beer,diaper 3 milk,bread 2 Thanks for help! deb

Maybe the solution is simple, im my case its works, you add the application name in the wine config. choose win vista, in the sound options you choose only Alsa and emulation, and enjoy

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Hello, I'm looking for a solution for the following problem: I have two vectors V1 <- c("apple","honey","milk","bread","butter") V2 <- c("bread","milk") now, I would like to know for each element in V1 if it's equal to one of the elements in V2 I could do: which(V1 == V2[1] | V1 == V2[2]) but what if I

Hi, I am wanting to look at frequent item sets using the arules package. I need to transform my data into a "transactions" object. The data I read in from a file has 2 columns, an ID and an item. How do I convert data like this into a transactions object? I've tried class? transactions but it only confuses me. My data is like this.... basketID item 1 bread 1 cheese 1 milk 2

Dear R-gurus, I am pretty much new on R. I am trying to to do a repeated analysis of a linear mixed model with R, and I consistently fail... The problem is: Cow is the random factor, treatment is the fixed factor. The dependent variable is milk yield, which is measured several times (repeatedly over time), thus there is another variable which is time (i.e. week). The model would be

Xquartz problems is one reason in Wineskin Engines I have a custom built version of Xquartz... it doesn't use your systems installed X11 or Xquartz version... much like Crossover builds in their own X server as well. As to getting it to work in Wineskin... the NWN wrapper I made that is around comes with directions on how to get the game inside of it... then its just a mac app. Its not

im having the same problem and was wondering if there's a command to uninstall the freetype libs so i can start over? otherwise do i need to manually delete the freetype files to run the new script? sorry for being such a noob with this

Dear All, I hope this is not too off-topic. Essentially, I need to know if there is any R package which can help me with a deformulation project. Suppose e.g. that you know from a chemical analysis the fat, mineral, vitamin, energy [and so on] content of a certain food product. You also know the ingredients of this product (e.g. milk, lactose, vegetable oil) and you know the chemical

Hey all, I recently started using Mac computers, but I still have a few leftover Windows programs that I want to use. In particular, there is a game I want to play on my Macbook: Heroes of Might and Magic 3 Complete. I'm no computer programmer, but I followed this guide (http://davidbaumgold.com/tutorials/wine-mac/#what-is) to get Wine on my Mac and to try and start up the program. Got

Hi, I'm analyzing a longitudinal data set with 387 cows were observed in 63 days divided into 6 groups, and every 30 days was found to produce milk. Does not aim to model the time using regression. Only compare the groups differ in terms of milk production. There are many missing observations. Because the data are correlated I used the SAS program: proc mixed data=univar

HI, You may try this: dat1<- read.table(text=" CustID TripDate Store Bread Butter Milk Eggs 1 2-Jan-12 a 2 0 2 1 1 6-Jan-12 c 0 3 3 0 1 9-Jan-12 a 3 3 0 0 1 31-Mar-13 a 3 0 0 0 2 31-Aug-12 a 0 3 3 0 2 24-Sep-12 a 3 3 0 0 2 25-Sep-12 b 3 0 0 0 ",sep="",header=TRUE,stringsAsFactors=FALSE) dat2<- dat1[,-c(1:3)] res<- lapply(seq_len(ncol(dat2)),function(i)

Hi, I have been able to generate association rules for Market Basket Analysis using the following codes: **************************************************************************** ******************************************* library("arules") rules <- read.csv("write1.csv",na.strings=c(".", "NA", "", "?"),header=TRUE)

I feel a bit embarassed by this, but I have not managed to find out how: I have a data frame containing measurements over time for a number of different locations: > str(milk) `data.frame': 845 obs. of 3 variables: $ date : num 1987 1987 1987 1987 1987 ... $ value : num 5 1 2 5 1 1 2 3 2 4 ... $ location: Factor w/ 36 levels "Alta","And?y",..: 1 1 1 1 1 1

Hello Ulrik, Can you please explain this code means how and what this code is doing because I'm not able to understand it, if you can explain it i can use it in future by doing some Lil bit manipulation. Thanks data_help <- data_help %>% mutate(Purchase_ID = 1:n()) %>% group_by(Purchase_ID) %>% do(split_items(.)) cat_help %>% gather("Foo",

Carsten, This is a common issue in technology when you have complex products that the majority of consumers of those products do not understand how they operate. If most UPS customers understood the importance of standardization they would have refused to purchase non-standard UPSes and all UPSes would have long ago standardized on a single management protocol. The normal thing is that product