similar to: Ifelse statement

Hi, I am a newbie of R, and playing with the "ifelse" statement. I have the following codes: ## first, for(i in 1:3) { for(j in 2:4) { cor.temp <- cor(iris.allnum[,i], iris.allnum[,j]) if(i==1 & j==2) corr.iris <- cor.temp else corr.iris <- c(corr.iris, cor.temp) } } this code is working fine. I also tried to perform the same thing in another way with "ifelse":

Dear list, I have a question I'm trying to use the following command in R, but it gives me an error message.The command is: data<-ddply(data,c("year","name"), transform, check1=ifelse(check1==1 & check2==1, 1,NULL)) so in my data frame I already have the check1 variable, if the conditions (check1==1 & check2==1) is respected, check has to have 1 as value,

Dear list, I'm trying to query a string of numbers to identify where in the string the numbers stop increasing (where x[i] == x[i+1]). In example 1 below, I've adapted code from Jim Holt to do this. However, I run into situations where the condition is not met, as in example 2, where the number string is continuous. In this case, I need to specify an alternative outcome, where if in the

I am using R in a Microsoft Windows environment. I have a dataset called “mp1b”. I have a variable called h. h can take a value from -1 to 5. If h <1, I want to create a new dataset called mp2 that is the same as mp1b: “mp2<-mp1b” If h > 0, I want to set create a dataset mp2, where I limit the original dataset to those where mp1b$group = =h. similar to:

Dear reader, I have the following problem: I have some string with numbers like k. I want to have a table like the function table() gives. However I am not able to call the first row, the 1, 2, 3, 5, 6 or 9. I tried to do that by a data.frame, but that doesn't seem to work either. The levels keep bothering me. This is an example of the code:

Hi there, I'm very new on R and I hope someone can help me to solve the problem in using the ifelse statement with the xtable function(library xtable). I'm trying to get the printing of the elements of two lists in a sorted way. These two list have in common the their names. I will try to give an example: the first list looks like this: $code1 Code code1 Nation

Full_Name: Woolton Lee Version: 2.1 OS: windows Submission from: (NULL) (128.118.224.46) I did the following ('g' and 'h' are both numeric vectors) > i <- abs(g-h) creating a vector 'i' with values, > i [1] 0.08 0.00 0.33 0.00 0.00 0.00 0.00 0.33 0.00 0.00 0.08 0.08 0.20 0.00 0.13 Now, I want to create a new vector =1 whenever 'i' = 0.33 and =0

Hi All, I want to draw samples (n=4) from one of 2 triangular distributions for each value in a matrix. I am using an ifelse statement to try to define which distribution to draw from. >From the output, I can see that the ifelse statement is choosing the correct distribution, however, my n=4 simulations aren't occurring. Is there a way to adjust the ifelse statement to fix this, or must

I have the following problem: I have some string with numbers like k. I want to have a table like the function table() gives. However I am not able to call the first row, the 1, 2, 3, 5, 6 or 9. I tried to do that by a data.frame, but that doesn't seem to work either. The levels keep bothering me. This is an example of the code: k<-c(1,1,1,1,1,3,5,6,2,1,3,9,2,3,1,1,1) > table(k) k 1 2

Hello, I apologize in advance for not providing sample data, I'm a very new to R and can't easily generate appropriate sample data quickly. I'm hoping someone can offer advice without it. This code below works and does what I want it to do, which is for a given row in my dataframe, where the variable "peak.cort" = max, it makes the value of another variable

Hi R-helpers, I am trying to use this ifelse statement to recode a variable: > data$SOCIAL_STATUS<-ifelse(data$SOCIAL_STATUS=="B" & data$MALE>4, "C", "B") (i.e., if social status is B and there are more than 4 males, then recode social status to C; otherwise, leave it B) But, it's not working. See the below R output. Notice that there were 71

Hello All, I am trying to create a column of weights based off of factor levels from another column. I am using the weights to calculate L scores. Here is an example where the first column are scores, the second is my "factor" and the third I want to be a column of weights. I can do what I want with an ifelse statement (see below), but I am wondering if anyone knows of a cleaner way

Dear R-help, I am trying to write a function to simulate datasets of size n which contain two time-to-event outcome variables with associated 'Event'/'Censored' indicator variables (flag1 and flag2 respectively). One of these indicator variables needs to be dependent on the other, so I am creating the first and trying to use this to create the second using an if/else statement.

Hello everyone, This IFELSE function call is not working properly. I do not receive an error message, but the actions are not executed conditional as I was hoping. Any assistance is appreciated. set.seed(12345) res1<-rbinom(10000,1,.1) rdata3<-transform(data.frame(res1),input1=rnorm(10000,50,10)) data3 #inducing correlation between res1 & input1

Hi R-helpers, Please see the below R output. The problem is that after running the ifelse statement, data$SOCIAL_STATUS is converted from a factor to a character. Is there some way I can avoid this conversion? Thanks in advance, Mark Na > str(data) 'data.frame': 2100 obs. of 11 variables: $ DATE : Factor w/ 5 levels "4-Jun-09","7-May-09",..: 1 1 1 1 1

I have the following problem: I have some string with numbers like k. I want to have a table like the function table() gives. However I am not able to call the first row, the 1, 2, 3, 5, 6 or 9. I tried to do that by a data.frame, but that doesn't seem to work either. The levels keep bothering me. This is an example of the code: k<-c(1,1,1,1,1,3,5,6,2,1,3,9,2,3,1,1,1) > table(k) k 1 2

Not a reproducible example, so a bit of guessing here, but a) don't try to assign results to variables inside the ifelse. That is, remove all the single-equals signs and "test" variables. If you really need to conditionally assign variables then use "if"... but chances are good you don't need that. b) "closure" is effectively another word

Hi folks, I have a question about how to efficiently produce random numbers from Beta and Binomial distributions. For Beta distribution, suppose we have two shape vectors shape1 and shape2. I hope to generate a 10000 x 2 matrix X whose i th rwo is a sample from reta(2,shape1[i]mshape2[i]). Of course this can be done via loops: for(i in 1:10000) { X[i,]=rbeta(2,shape1[i],shape2[i]) } However,

Hi everyone, I'm having some trouble with my ifelse statements. I'm trying to put 12 conditions within 3 groups. Here is the code I have so far: dat$cond <- ifelse(test = dat$cond == "cond1" | dat$cond == "cond2" | dat$cond == "cond3" dat$cond == "cond4" yes = "Uniform" no = ifelse(test =

Removal of ans[nas] <- NA from the code of function 'ifelse' in R is not committed (yet). Why? -------------------------------------------- On Mon, 28/11/16, Martin Maechler <maechler at stat.math.ethz.ch> wrote: Subject: Re: [Rd] ifelse() woes ... can we agree on a ifelse2() ? Cc: R-devel at r-project.org, maechler at stat.math.ethz.ch Date: Monday, 28 November, 2016, 10:00