similar to: print

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

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",

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 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 %>%

Hey PIKAL, It's not a homework neithe that is the real dataset i have signer NDA for my company so that i can share the original data file, Actually I'm working on a market basket analysis task but not able to convert my existing data table to appropriate format so that i can apply Apriori algorithm using R, and this is very important me to get it done because I'm an intern and if i

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.

Hi It seems to me like homework, there is no homework policy on this help list. What do you want to do with your table 3? It seems to me futile. Anyway, some combination of melt, merge, cast and regular expressions could be employed in such task, but it could be rather tricky. But be aware that Suger does not match sugar (I wonder that sugar is dairy product) and you mix uppercase and

Hi All: I'm using an old version of Ubuntu, 14.04, and I can't figure out a keyboard sequence that "selects all" analogously to what ctrl-a does on windows ? If anyone can be bothered running below and see if they have a way to select all four fruits at once, it's appreciated. I've spent quite a bit of time searching the net, going on AskUbuntu etc but no luck. Thanks.

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

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",

I''ve got a bunch of records coming back from a database like so ID WORDS 1. banana apple orange 2. apple pear 3. banana orange I want to take the records in the WORDS field and concatinate them into one large array so I can play around with it. How do I do this? -- Posted via http://www.ruby-forum.com/.

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 <-

thanks david. that worked for me too and I like your detective approach. I'll remember that the next time I need another equivalent. On Thu, Jul 18, 2019 at 4:13 PM David Winsemius <dwinsemius at comcast.net> wrote: > > On 7/18/19 1:02 PM, Mark Leeds wrote: > > Hi All: I'm using an old version of Ubuntu, 14.04, and I can't figure > out a > > keyboard

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:

The problem here is Table doesn't seem to have a way to weigh the data. > ToyData Data1 Data2 Data3 Weight 101 Sam Red Banana 1.1 102 Sam Green Banana 2.1 103 Sam Blue Orange 2.1 104 Fred Red Orange 2.1 105 Fred Green Guava 2.1 106 Fred Blue Guava 2.1 107 <NA> Red Pear 50.1 108 <NA> Green Pear 50.1 109 <NA> Blue

All, Given a data frame and a list containing factor definitions for certain columns, how can I apply those definitions from the list, rather than doing it the standard way, as noted below. I'm lost in the world of do.call, assign, paste, and can't find my way through. For example: #set up df y <- data.frame(colOne = c(1,2,3), colTwo =

I''m returning some rows from a tags database that look like this: ID WORDS 1. apple banana pear 2. banana melon 3. apple peach lime What I want to do with that data is use the .split method to divide them into separate values in an array, then use the .uniq method to return a unique list of the words like so: apple, banana, pear, melon, peach, lime So in my controller I

I?m trying to spec a ?binary?, and as previously discussed on this list, I?m trying to do it ?from outside? ? i.e., by calling it with Kernel#` and observing the (side-)effects. Unfortunately, this doesn?t really let me spec expectations about its internals. Let?s assume I have a -d flag and I parse it with Trollop to set Conf.debug: opts = Trollop::options do opt :debug, ''Print debug

Hi, all, My objective is to split a dataframe named "cmbine" according to the value of "classes". After the split, I will take the first instance from each class and bin them into a new dataframe, "df1". In the 2nd iteration, I will take the 2nd available instance and bin them into another new dataframe, "df2". >cmbine$names apple tiger pencil chicken

Hi, R-help: I am a new user of R and am very pleased with R's features. Here I have one question regarding data frame manipulation. I have a data frame look like this: Fruit Condition 1 Orange Good 2 Orange Bad 3 Orange Good 4 Orange Good 5 Orange Bad 6 Apple Good 7 Apple Bad 8 Apple Good 9 Apple Good 10 Apple Bad 11 Apple Good 12 Apple Bad 13