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R variable string replacement in a data frame


R variable string replacement in a data frame

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R variable string replacement in a data frame
Tag : string , By : Tom Smith
Date : November 26 2020, 01:01 AM


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Changing all values in a data frame with a data frame specifying replacement


Tag : r , By : Thx1138.6
Date : March 29 2020, 07:55 AM
hope this fix your issue I have a question that seems simple, but I can't seem to find an answer to this problem. I am trying to replace all values generated in a williams design (values 1 - 4) with a character string TRT1, TRT2, etc. , You could do:
library(dplyr)
d %>% mutate_each(funs(d2$treatmentName[match(.,d2$treatmentNo)]))
#  Period 1 Period 2 Period 3 Period 4
#1     TRT1     TRT2     TRT4     TRT3
#2     TRT2     TRT3     TRT1     TRT4
#3     TRT3     TRT4     TRT2     TRT1
#4     TRT4     TRT1     TRT3     TRT2
library(qdapTools)
data.frame(apply(d, 2, lookup, d2))
data.frame(lapply(d, function(x) d2$treatmentName[match(x, d2$treatmentNo)]))
#  Period.1 Period.2 Period.3 Period.4
#1     TRT1     TRT2     TRT4     TRT3
#2     TRT2     TRT3     TRT1     TRT4
#3     TRT3     TRT4     TRT2     TRT1
#4     TRT4     TRT1     TRT3     TRT2

How to do sequential numeric/integer replacement with string in a data.frame in R?


Tag : r , By : user90210
Date : March 29 2020, 07:55 AM
Does that help Through the process of learning R and following up with my previous question and the answer, I am trying to figure it out how to do the sequential string replace in a data.frame in R. , You should use a temporary vector
res <- character(length(mtcars$hp))
res[mtcars$hp <100] <- "low"
res[mtcars$hp >=100 & mtcars$hp <200] <- "medium"
res[mtcars$hp >= 200] <- "high"
mtcars$hp <- res
df <- mtcars
class(df$hp)
#> [1] "numeric"
df$hp[df$hp <100] <- "low"
class(df$hp)
#> [1] "character"
cut(mtcars$hp,c(-Inf,100,200,Inf),c("low","medium","high"),right=FALSE)

Conditional replacement of a string in data frame


Tag : r , By : adrianmooreuk
Date : March 29 2020, 07:55 AM
I think the issue was by ths following , , You need to use the ifelse() function.
DF$ID <- ifelse(DF$INT == 1,  gsub("^9", "8", DF$ID), DF$ID)
DF %>% 
   mutate(ID=ifelse(INT==1,gsub("^9","8",ID),ID))
if(DF$INT == "1") { }
if(use_new_function == "on"){ 
    run_new_function() 
}

create a group variable in a data frame by a string variable starting from a certain value in R


Tag : r , By : KT.
Date : March 29 2020, 07:55 AM
will be helpful for those in need I have following data frame. , What about this:
data$group <- ifelse(substr(data$sub1,1,1)==2,1,2)

data
  sub1 x1 x2 group
1 2021 10 11     1
2 2121  5 12     1
3 M123  6 34     2
4 M143  7 56     2
ifelse(substr(data$sub1,1,1)==2,1,ifelse(substr(data$sub1,1,1)=='M',2,'Missing'))

In R, how can I collapse a string variable in a data frame, by a grouping variable? In other words, pasting vertically i


Tag : r , By : Saul
Date : March 29 2020, 07:55 AM
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