similar to: Elements of Sets as dataframe column names

Hello, Problem I am facing is as follows: Set A is made of 2 sets x and y x<-{"P1", "P2", "P3", "P4"} y<-{} A<-set(x,y) #A={{}, {"P1", "P2", "P3", "P4"}} i need to use A in a recursive loop where i need to take set difference of A and it 's elements. Example: for (i in A){ print(i)

Hello All, I am facing a problem and am unable to find much help online as sets package in R is relatively new. My problem is as follows: Set R is made of 2 sets x and y x<-{"P1", "P2", "P3", "P4"} y<-{} R<-set(x,y) #R={{}, {"P1", "P2", "P3", "P4"}} i need to use R in a recursive loop where i need to take

Hi, I am looking for a way in which I can check if rows in 1 dataframe are present in another data frame in a unique way. A row in dataframe should be super set of any row in another dataframe. I can write a for loop for it, however, that will be inefficient. So, I am looking for an efficient way to do this in R. I have explained it with an example below: I want to check if a row in dataframe

Hi I have 3 dataframes, a,b,c with 0/1 values...i have to check a condition for dataframe a and b and then input the rows ids to datframe c . In the if condition, I AND the 2 rows of from a and b and then see if the result is equal to one of them. I have done this using a for loop, however, it takes a long time to execute with larger dataset..Can you help me do it using apply function so that i

Hi Neha, Perhaps merge() from base or join from dplyr is what you are looking for. data. table could also be interesting. Hth Ulrik On Wed, 2 May 2018, 21:28 Neha Aggarwal, <aggarwalneha2000 at gmail.com> wrote: > Hi > > I have 3 dataframes, a,b,c with 0/1 values...i have to check a condition > for dataframe a and b and then input the rows ids to datframe c . In the if >

Hello All, I am facing a unique problem and am unable to find any help in R help pages or online. I will appreciate your help for the following problem: I have 2 data-frames, samples below and there is an expected output R Dataframe1: C1 C2 C3 C4...... CN R1 0 1 0 1 R2 1 0 1 1 R3

Hi, I have implemented an algorithm in R, where i have used while loop and some set operations inside it, for example, while(condition){ union(set A,set B) set C - set D intersection(set D, set E) } I want to calculate the complexity of my algo. Can you tell me the complexity of union, intersection and set minus operations/functions in R? Is it O(n) or O(log n) ? Also can anyone point a good

> On Mar 11, 2018, at 3:32 PM, Neha Aggarwal <aggarwalneha2000 at gmail.com> wrote: > > Hello All, > I am facing a unique problem and am unable to find any help in R help pages > or online. I will appreciate your help for the following problem: > I have 2 data-frames, samples below and there is an expected output > > R Dataframe1: > C1 C2

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Dear R-experts, I have got a dataframe: data ID disease V1 V2 1 p1 1 2 p1 3 3 p3 3 4 p3 5 5 p5 1 From which I extract a usefull table: affect affect 1 3 5 p1 1 1 0 p3 0 1 1 p5 1 0 0 I want to merge this with anotherdataframe: age p1 23 p2 24 p3 23 p4 11 p5 45 If have tried as.data.frame(affect) and other solutions to get the following comment going:

I am having some problems using Quadprog in R. I want to minimize the objective function : 200*P1-1/2*10*P1^2+100*P2-1/2*5*P2^2+160*P3-1/2*8*P3^2+50*P4-1/2*10*P4^2+50*P 5-1/2*20*P5^2+50*P6-1/2*10*P6^2, Subject to a set of constrains including not only the variables P1, P2, P3, P4, P5, P6, but also the variables X1, X2,X3,X4,X5,X6,X7,X8,X9. As the set of variables X's are not

Dear All, Is there a way I can turn off the following warning message for using multi-argument returns? multi-argument returns are deprecated in: return(p1, p2, p3, p4) Steve. ************************************************************************************** Steve Su (s.su@qut.edu.au) Postdoctoral fellow Faculty of Business Queensland University of Technology Postal

The following dummy data frame has factor Q (with 2 levels) nesting factor P (with levels p1 and p2 nested under q1, and p3 and p4 nested under q2), but both crossing the random variate s, which has 8 levels. The dependent measure is dv. > # The data frame: > testnest dv s P Q 1 1 s1 p1 q1 2 2 s2 p1 q1 3 1 s3 p1 q1 4 2 s4 p1 q1 5 1 s5 p1 q1 6 3 s6 p1 q1 7 3 s7

Hi everyone, I need to recode multiple columns in a dataframe into a single column in a variety of different ways. Often the values will be TRUE/FALSE and I want a list of the columns that are true as in the Result column below: P1 P2 P3 P4 Result 1 0 0 1 1 P3,P4 2 0 1 1 1 P2,P3,P4 3 1 0 0 0 P1 4 0 0 0 0 NA 5 1 1 1

Dear R helpers I have following data stocks <- c("ABC", "DEF", "GHI", "JKL") prices_df <- data.frame(ABC = c(17,24,15,22,16,22,17,22,15,19),                                          DEF = c(22,28,20,20,28,26,29,18,24,21),                                           GHI = c(32,27,32,36,37,37,34,23,25,32),                                          

Dear all, I have two functions (f1, f2) and 4 unknown parameters (p1, p2, p3, p4). Both f1 and f2 are functions of p1, p2, and p3, denoted by f1(p1, p2, p3) and f2(p1,p2,p3) respectively. The goal is to maximize f1(p1, p2, p3) subject to two constraints: (1) c = k1*p4/(k1*p4+(1-k1)*f1(p1,p2,p3)), where c and k1 are some known constants (2) p4 = f2(p1, p2, p3) In addition, each parameter

Is it possible in R to subset a dataframe by more than one factor, all at once? For instance, I have the dataframe: >data p1 p2 p3 p4 p5 p6 p7 p8 p9 p10 pred 1 0 1 0 0 0 0 0 0 0 0 0.5862069 4 0 0 0 0 0 0 0 0 0 1 0.5862069 5 0 0 0 0 0 0 1 0 0 0 0.5862069 6 0 0 0 0 0 0 0 1 0 0 0.5862069 7 0 0 1 0 0 0 0 0 0

Hello, Iam looking for an R solution that can efficiently produce the output shown below. I can produce this easily in SAS with retain statement and a few lines of if-then-else logic, etc.. but I am not find anything similar on the Rforum archives. Below is the logic I am trying to apply to produce the output table below. Thanks in any help! if the ID is the first ID encountered then group=1 and

Dear all    I think my problem is not complicated but I'm having difficulties to solve it. v is a vector: v=c(p1 , p2 , p3 , p4), and f  is a function: f : v -> w , where w=c(p1 , p2*(1-p1) , p3*(1-p2)*(1-p1) , p4*(1-p3)*(1-p2)*(1-p1))   I write the function f as: f<- function(w,x,y,z) {c(w,x*(1-w),y*(1-x)*(1-w),z*(1-y)*(1-x)*(1-w))} f(a,b,c,d) it

This ancient bug was tracked to the acepack library, line 556 in line src/avas.f The troublesome line is: if (x(n).gt.x(1)) go to 30 Since the input arguments are empty, referencing x(1) and x(n) cause a Segmentation fault, and cause R to crash. Acepack author and maintainer Rob Tibshirani <tibs at utstat.toronto.edu> has been contacted with this information. This is not a