similar to: data frame filtration

Hi all, Suppose I have a vector Fruits <- c('Apple','Orange','Pear','Banana','Mango') I want to print the statement "The fruits in the basket are: Apple, Orange, Pear, Banana, Mango" If I do: print(paste('The fruits in the basket are:',Fruits)) The output is: [1] "The fruits in the basket are: Apple" "The fruits in

It might be a bit faster to do matrix indexing: R> tbm <- as.matrix(tb) # turn it into a character matrix R> tmat[cbind(match(tbm[,2], rownames(tmat)), match(tbm[,1], colnames(tmat)))] <- 1 > tmat Apple Orange Mango Grape Star A 1 1 1 0 0 O 1 1 0 0 0 M 0 0 1 0 0 G 0 0 0 0 0 S 1 1 1 0

hi: I have matrix with dimensions(200 X 20,000). I have another file, a tab-delim file where first column variables are row names and second column variables are column names. For instance: > tmat Apple Orange Mango Grape Star A 0 0 0 0 0 O 0 0 0 0 0 M 0 0 0 0 0 G 0 0 0 0 0 S 0 0 0 0 0

Thank you for your help! I gave you an example, you could run it in R . Maybe you will understand my meaning clearly. x <- data.frame(main.name="AAA", x.name=rep(c("Apply","Watermelon","Lemon","Banana",

dear group, i have 100 files starting with 'hsa-*'. ex. file: fruit p-value ------------ apple 0.0003 orange 0.004 kiwi 0.0003 peach 0.0004 I want to read all these files and create a single matrix. here each file may have different fruit names. in the matrix i want to have a union of all fruits and those should be the rows in the matrix and file names should be columns.

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Yes! You are right ! It is perpendicular to the axis. Thank you very much! Could I choose the angle ,such as 45 degree? Best Regards! Ivy Li YMS in Production & Testing Semiconductor Manufactory International(ShangHai) Corporation #18 ZhangJiang Road, PuDong New Area, Shanghai, China Tel: 021-5080-2000 *11754 Email: Ivy_Li at smics.com -----orig--- Hi Ivy, How about x <-

dear group, i have a data matrix with some replicate items with different values. I want to extract the row with max value. for example: > x fruit weight 1 apple 1.3 2 apple 1.5 3 apple 1.6 4 orange 1.4 5 orange 1.6 x is a data frame. I want to extract unique items from fruits that has max weight. that is: 3 apple 1.6 5 orange 1.6 I want to be able to use

Hi, I have a data set look like this: ================================= Fruit Quty apple 20 banana 10 orange 17 apple 30 apple 15 orange 26 banana 15 .........and so on .......... ================================= The level of fruit is 30, that is, there are 30 different fruits. I'd like to compute some simple statistics for each different fruit and get output like this:

Hello R-ologists, Imagine you have a list "list" like so: >list [[1]] [1] "IPI00776145.1" "IPI00776187.1" [[2]] [1] "Something" "IPI00807764.1" "IPI00807887.1" [[3]] [1] "IPI00807764.1" [[4]] [1] "Somethingelse" What I need to achieve is a filtered list "list2" like so: >list2 [[1]] [1]

i want to do a market basket analysis and I?m trying to create a dataset for that i have two tables, one table contains daily transaction of products in which each row of table shows item purchased by the customer, The second table contains parent group under those products are fallen, for example under fruit category there are several fruits like mango, banana, apple etc. i want to create a third

hi I need help with list object. I have a list object > a <- c('apple','orange','grape') > b <- c('car','truck','jeep') > c <- list(a,b) > names(c) <- c('fruit','vehicle') > c $fruit [1] "apple" "orange" "grape" $vehicle [1] "car" "truck"

I'm writing a function that needs an optional variable. If the variable is given, then a subset must be made using that variable, but if the variable is not given the subset must be done using all the values for that variable (ignoring that variable). Something like this: *band <- function(file, fruit = "apple", optional=TRUE) {* *data <- read.csv(file)* *a <-

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Hello, I'm very much a newbie in R and more so in tcltk so apologies if this question is stupid. Basically I am trying to use the combobox example found here: http://bioinf.wehi.edu.au/~wettenhall/RTclTkExamples/DropDown.html . What I want to do is in that example get fruitChoice as a variable in R in general. When I run that code, however, and the ask for fruitChoice it says

by using these two tables we have to create third table in this format where categories will be on the top and transaction will be in the rows, On 30 August 2017 at 16:42, Hemant Sain <hemantsain55 at gmail.com> wrote: > Hello Ulrik, > Can you please once check this code again on the following data set > because it doesn't giving same output to me due to absence of quantity,a

hi, I like to find a pattern within a giver sequence. There might be multiple occurences of the pattern. I like to know the number of occurences and the positions if possible. "grep" can tell me if a pattern exists but can't give me the information I need. Does anyone know any function that I can use or know how to do what I intend?. Thanks a lot. Sean

Hi Hemant, the solution is really quite similar, and the logic is identical: library(readr) library(dplyr) library(stringr) library(tidyr) data_help <- read_csv("data_help.csv") cat_help <- read_csv("cat_help.csv") # Helper function to split the Items and create a data_frame split_items <- function(items){ x <- items$Items_purchased_on_Receipts %>%

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",

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