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3 votes
4 answers
141 views

Efficient way to implement rule-based value assignment

I'm trying to come up with an elegant, rule-based way to assign codes to rows in a data frame based on combinations of values in columns, using this data: library(tidyr) df <- crossing(yr2018=c(&...
E Maas's user avatar
  • 125
1 vote
1 answer
103 views

apply many expressions to one row of a matrix

I have input data X in the form of a single row of a matrix that is updated several times per second # fake data set.seed(123) X <- matrix(rnorm(1),ncol = 10,nrow = 1) I have a model in the form ...
mr.T's user avatar
  • 596
0 votes
1 answer
104 views

check boolean expression in dataframe Rcpp (C++)

I have a dataframe dat with data and a vector rule with logical rules set.seed(124) ro <- round(runif(n = 30,1,10),2) dat <- as.data.frame(matrix(data =ro,ncol = 3)) ; colnames(dat) <- paste0(...
mr.T's user avatar
  • 596
0 votes
1 answer
121 views

create a rule in R to count number of consultations per patient per day

I have created the following dataset with key scenarios that I have in my actual dataset: df <- data.frame (organisation_id = c("1","1","2","2","2"...
Daniela Rodrigues's user avatar
0 votes
0 answers
235 views

Can you use references for conditionalFormatting rules in R?

I have a dataframe in R which is comprised of Weeks as the columns and categories in the rows. The last four columns are summary statistics (include 52-week average and 52-week std deviation). Each ...
Cliff's user avatar
  • 1
8 votes
3 answers
434 views

find a sequence of rules in a dataframe, with break rules

I showed how I see the implementation of this algorithm, I divided it into two steps step one sequence search step two check break rules set.seed(123) dat <- as.data.frame(matrix(sample(10,60,...
mr.T's user avatar
  • 596
4 votes
2 answers
325 views

Match all logic rules with a dataframe (need super fast function)

I have a function that checks for the presence of logical sequences in a dataframe fu <- function(dat , rule , res.only=T){ debug.vec <- rep("no",nrow(dat)) # control of rule triggers ...
mr.T's user avatar
  • 596
0 votes
2 answers
1k views

How to create new dataset based on existing dataset

I have the following dataset: individual sequence_special_drug all_drugs A NA A A NA B A 1 ...
Daniela Rodrigues's user avatar
1 vote
1 answer
83 views

sequence design trees (Is there such a package or code)

Here I asked the question of how to search for the triggering of a sequence of rules in the feature matrix I am wondering if there is a way to find / generate rules like this automatically.. For ...
mr.T's user avatar
  • 596
2 votes
2 answers
134 views

Match all logic rules with a matrix and in the same order

For example, I have a matrix like this dat <- cbind(1:10,11:20,21:30) colnames(dat) <- paste0("x",1:ncol(dat)) dat x1 x2 x3 [1,] 1 11 21 [2,] 2 12 22 [3,] 3 13 23 [4,] 4 ...
mr.T's user avatar
  • 596
1 vote
1 answer
50 views

Match all logic rules with a vector and in the same order

I have a function that takes two vectors a vector of logical rules pat a vector of data dat. The function checks if all the rules have been executed and in the right order dat <- 1:100 pat <- ...
mr.T's user avatar
  • 596
0 votes
1 answer
379 views

Cleaning Data & Association Rules - R

I am trying to tidy the following dataset (in link) in R and then run an association rules below. https://www.kaggle.com/fanatiks/shopping-cart install.packages("dplyr") library(dplyr) df <- ...
Anna Harrington's user avatar
0 votes
0 answers
263 views

How to use the R implementation of the Apriori or FP-Growth algorithm starting from a CSV file?

I have a CSV file with twelve fields: the first six represent events, the other six actions. For example: q,w,e, , , ,a,s,d,f, , q,t,y,i, , ,s,f,g, , , w,r, , , , ,d,f,g,j,k,l ...and so on (I ...
Antonio's user avatar
  • 11
0 votes
1 answer
200 views

How can I compare two apriori rules created from the same dataset in R

I have a dataset and I divided it into 2 datasets RANDOMLY A and B, where A is 70% of the main dataset and B is 30%... Then I applied Apriori algorithm on the both A and B separately, generating its ...
Chris Goddy Chinedozie's user avatar
0 votes
1 answer
34 views

Decreasing support threshold for arules in R

I am working on association rules that are considered outliers. I noticed that arules does not show results for rules that have a support less than .10. Is there any way that I could view rules that ...
aduran3's user avatar

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