I'd like to change the variable names in my data.frame from e.g. "pmm_StartTimev4_E2_C19_1" to "pmm_StartTimev4_E2_C19". So if the name ends with an underscore followed by any number it gets removed.
But I'd like for this to happen only if the variable name has the word "Start" in it.
I've got a muddled up bit of code that doesn't work. Any help would be appreciated!
# Current data frame:
dfbefore <- data.frame(a=c("pmm_StartTimev4_E2_C19_1","pmm_StartTimev4_E2_E2_C1","delivery_C1_C12"),b=c("pmm_StartTo_v4_E2_C19_2","complete_E1_C12_1","pmm_StartTo_v4_E2_C19"))
# Desired data frame:
dfafter <- data.frame(a=c("pmm_StartTimev4_E2_C19","pmm_StartTimev4_E2_E2_C1","delivery_C1_C12"),b=c("pmm_StartTo_v4_E2_C19","complete_E1_C12_1","pmm_StartTo_v4_E2_C19"))
# Current code:
sub((.*{1,}[0-9]*).*","",grep("Start",names(df),value = TRUE)
How about something like this using gsub().
stripcol <- function(x) {
gsub("(.*Start.*)_\\d+$", "\\1", as.character(x))
}
dfnew <- dfbefore
dfnew[] <- lapply(dfbefore, stripcol)
We use the regular expression to look for "Start" and then grab everything but the underscore number at the end. We use lapply to apply the function to all columns.
doit <- function(x){
x <- as.character(x)
if(grepl("Start",x)){
x <- gsub("_([0-9])","",x)
}
return(x)
}
apply(dfbefore,c(1,2),doit)
a b
[1,] "pmm_StartTimev4_E2_C19" "pmm_StartTo_v4_E2_C19"
[2,] "pmm_StartTimev4_E2_E2_C1" "complete_E1_C12_1"
[3,] "delivery_C1_C12" "pmm_StartTo_v4_E2_C19"
We can use sub to capture groups where the 'Start' substring is also present followed by an underscore and one or more numbers. In the replacement, use the backreference of the captured group. As there are multiple columns, use lapply to loop over the columns, apply the sub and assign the output back to the original data
out <- dfbefore
out[] <- lapply(dfbefore, sub,
pattern = "^(.*_Start.*)_\\d+$", replacement ="\\1")
out
dfafter[] <- lapply(dfafter, as.character)
all.equal(out, dfafter, check.attributes = FALSE)
#[1] TRUE
Related
This question already has answers here:
Extracting numbers from vectors of strings
(12 answers)
Closed 1 year ago.
relatively new to R, need help with applying a regex-based substitution.
I have a data frame in one column of which I have a sequence of digits (my values of interest) followed by a string of all sorts of characters.
Example:
4623(randomcharacters)
I need to remove everything after the initial digits to continue working with the values. My idea was to use gsub to remove the non-digit characters by positive lookbehind.
The code I have is:
sub_function <- function() {
gsub("?<=[[:digit:]].", " ", fixed = T)
}
data_frame$`x` <- data_known$`x` %>%
sapply(sub_function)
But I then get the error:
Error in FUN(X[[i]], ...) : unused argument (X[[i]])
Any help would be greatly appreciated!
Here is a base R function.
It uses sub, not gsub, since there will be only one substitution. And there's no need for look behind, the meta-character ^ marks the beginning of the string, followed by an optional minus sign, followed by at least one digit. Everything else is discarded.
sub_function <- function(x){
sub("(^-*[[:digit:]]+).*", "\\1", x)
}
data <- data.frame(x = c("4623(randomcharacters)", "-4623(randomcharacters)"))
sub_function(data$x)
#[1] "4623" "-4623"
Edit
With this simple modification the function returns a numeric vector.
sub_function <- function(x){
y <- sub("(^-*[[:digit:]]+).*", "\\1", x)
as.numeric(y)
}
There are a few ways to accomplish this, but I like using functions from {tidyverse}:
library(tidyverse)
# Create some dummy data
df <- tibble(targetcol = c("4658(randomcharacters)", "5847(randomcharacters)", "4958(randomcharacters)"))
df <- mutate(df, just_digits = str_extract(targetcol, pattern = "^[[:digit:]]+"))
Output (contents of df):
targetcol just_digits
<chr> <chr>
1 4658(randomcharacters) 4658
2 5847(randomcharacters) 5847
3 4958(randomcharacters) 4958
If you always want to extract numbers from the data, you can use parse_number from readr. It will also return data in numeric form by default.
Using #Rory S' data.
sub_function <- function(x) {
readr::parse_number(x)
}
sub_function(df$targetcol)
#[1] 4658 5847 4958
I have a character vector made up of filenames like:
vector <- c("LR1_0001_a", "LR1_0002_b", "LR02_0001_b", "LR02_0002_x", "LR3_001_c")
My goal is to subset this vector based on pattern matching the first x number of characters (dynamically), up to the first "_". The outputs would look something like this:
solution1 <- c("LR1_0001_a", "LR1_0002_b")
solution2 <- c("LR02_0001_b", "LR02_0002_b")
solution3 <- c("LR3_001_c")
I have experimented with mixtures of unique and grep but have not had any luck so far
We can use sub to remove everything after underscore "_" and split the vector.
output <- split(vector, sub('_.*', '', vector))
output
#$LR02
#[1] "LR02_0001_b" "LR02_0002_x"
#$LR1
#[1] "LR1_0001_a" "LR1_0002_b"
#$LR3
#[1] "LR3_001_c"
This returns a list of vectors, which is usually a better way to manage data instead of creating number of objects in global environment. However, if you want them as separate vectors we can use list2env.
list2env(output, .GlobalEnv)
This will create vectors with the name LR02, LR1 and LR3 respectively.
Base R solution (coerce vector to data.frame):
# Split vector into list (as in ronak's answer):
vect_list <- split(vect, sub("_.*", "", vect))
# Pad each vector in the list to be the same length as the longest vector:
padded_vect_list <- lapply(vect_list,
function(x){length(x) = max(lengths(vect_list)); return(x)})
# Coerce the list of vectors into a dataframe:
df <- data.frame(do.call("cbind", padded_vect_list))
Data:
vect <- c("LR1_0001_a", "LR1_0002_b", "LR02_0001_b", "LR02_0002_x", "LR3_001_c")
We can use trimws
out <- split(vector, trimws(vector, whitespace = "_[a-z]+"))
and then use list2env
list2env(out, .GlobalEnv)
I'm working in R with strings like the following:
"a1_1;a1_2;a1_5;a1_6;a1_8"
"two1_1;two1_4;two1_5;two1_7"
I need to split these strings into two strings based on the last digit being less than 7 or not. For instance, the desired output for the two strings above would be:
"a1_1;a1_2;a1_5;a1_6" "a1_8"
"two1_1;two1_4;two1_5" "two1_7"
I attempted the following to no avail:
x <- "a1_1;a1_2;a1_5;a1_6;a1_8"
str_split("x", "(\\d<7);")
In an earlier version of the question I was helped by someone that provided the following function, but I don't think it's set up to handle digits both before and after the semicolon in the strings above. I'm trying to modify it but I haven't been able to get it to come out correctly.
f1 <- function(strn) {
strsplit(gsubfn("(;[A-Za-z]+\\d+)", ~ if(readr::parse_number(x) >= 7)
paste0(",", sub(";", "", x)) else x, strn), ",")[[1]]
}
Can anyone help me understand what I'd need to do to make this split as desired?
Splitting and recombining on ;, with a simple regex capture in between.
s <- c("a1_1;a1_2;a1_5;a1_6;a1_8", "two1_1;two1_4;two1_5;two1_7")
sp <- strsplit(s, ";")
lapply(sp,
function(x) {
l <- sub(".*(\\d)$", "\\1", x) < 7
c(paste(x[l], collapse=";"), paste(x[!l], collapse=";"))
}
)
# [[1]]
# [1] "a1_1;a1_2;a1_5;a1_6" "a1_8"
#
# [[2]]
# [1] "two1_1;two1_4;two1_5" "two1_7"
I have an issue about replacing strings with the new ones conditionally.
I put short version of my real problem so far its working however I need a better solution since there are many rows in the real data.
strings <- c("ca_A33","cb_A32","cc_A31","cd_A30")
Basicly I want to replace strings with replace_strings. First item in the strings replaced with the first item in the replace_strings.
replace_strings <- c("A1","A2","A3","A4")
So the final string should look like
final string <- c("ca_A1","cb_A2","cc_A3","cd_A4")
I write some simple function assign_new
assign_new <- function(x){
ifelse(grepl("A33",x),gsub("A33","A1",x),
ifelse(grepl("A32",x),gsub("A32","A2",x),
ifelse(grepl("A31",x),gsub("A31","A3",x),
ifelse(grepl("A30",x),gsub("A30","A4",x),x))))
}
assign_new(strings)
[1] "ca_A1" "cb_A2" "cc_A3" "cd_A4"
Ok it seems we have solution. But lets say if I have A1000 to A1 and want to replace them from A1 to A1000 I need to do 1000 of rows of ifelse statement. How can we tackle that?
If your vectors are ordered to be matched, then you can use:
> paste0(gsub("(.*_)(.*)","\\1", strings ), replace_strings)
[1] "ca_A1" "cb_A2" "cc_A3" "cd_A4"
You can use regmatches.First obtain all the characters that are followed by _ using regexpr then replace as shown below
`regmatches<-`(strings,regexpr("(?<=_).*",strings,perl = T),value=replace_strings)
[1] "ca_A1" "cb_A2" "cc_A3" "cd_A4"
Not the fastests but very tractable and easy to maintain:
for (i in 1:length(strings)) {
strings[i] <- gsub("\\d+$", i, strings[i])
}
"\\d+$" just matches any number at the end of the string.
EDIT: Per #Onyambu's comment, removing map2_chr as paste is a vectorized function.
foo <- function(x, y){
x <- unlist(lapply(strsplit(x, "_"), '[', 1))
paste(x, y, sep = "_"))
}
foo(strings, replace_strings)
with x being strings and y being replace_strings. You first split the strings object at the _ character, and paste with the respective replace_strings object.
EDIT:
For objects where there is no positional relationship you could create a reference table (dataframe, list, etc.) and match your values.
reference_tbl <- data.frame(strings, replace_strings)
foo <- function(x){
y <- reference_tbl$replace_strings[match(x, reference_tbl$strings)]
x <- unlist(lapply(strsplit(x, "_"), '[', 1))
paste(x, y, sep = "_")
}
foo(strings)
Using the dplyr package:
strings <- c("ca_A33","cb_A32","cc_A31","cd_A30")
replace_strings <- c("A1","A2","A3","A4")
df <- data.frame(strings, replace_strings)
df <- mutate(rowwise(df),
strings = gsub("_.*",
paste0("_", replace_strings),
strings)
)
df <- select(df, strings)
Output:
# A tibble: 4 x 1
strings
<chr>
1 ca_A1
2 cb_A2
3 cc_A3
4 cd_A4
yet another way:
mapply(function(x,y) gsub("(\\w\\w_).*",paste0("\\1",y),x),strings,replace_strings,USE.NAMES=FALSE)
# [1] "ca_A1" "cb_A2" "cc_A3" "cd_A4"
Assume a character vector like the following
file1_p1_analysed_samples.txt
file1_p1_raw_samples.txt
f2_file2_p1_analysed_samples.txt
f3_file3_p1_raw_samples.txt
Desired output:
file1_p1_analysed
file1_p1_raw
file2_p1_analysed
file3_p1_raw
I would like to compare the elements and remove parts of the string from start and end as much as possible but keep them unique.
The above one is just an example. The parts to be removed are not common to all elements. I need a general solution independent of the strings in the above example.
So far I have been able to chuck off parts that are common to all elements, provided the separator and the resulting split parts are of same length. Here is the function,
mf <- function(x,sep){
xsplit = strsplit(x,split = sep)
xdfm <- as.data.frame(do.call(rbind,xsplit))
res <- list()
for (i in 1:ncol(xdfm)){
if (!all(xdfm[,i] == xdfm[1,i])){
res[[length(res)+1]] <- as.character(xdfm[,i])
}
}
res <- as.data.frame(do.call(rbind,res))
res <- apply(res,2,function(x) paste(x,collapse="_"))
return(res)
}
Applying the above function:
a = c("a_samples.txt","b_samples.txt")
mf(a,"_")
V1 V2
"a" "b"
2.
> b = c("apple.fruit.txt","orange.fruit.txt")
> mf(b,sep = "\\.")
V1 V2
"apple" "orange"
If the resulting split parts are not same length, this doesn't work.
What about
files <- c("file1_p1_analysed_samples.txt", "file1_p1_raw_samples.txt", "f2_file2_p1_analysed_samples.txt", "f3_file3_p1_raw_samples.txt")
new_files <- gsub('_samples\\.txt', '', files)
new_files
... which yields
[1] "file1_p1_analysed" "file1_p1_raw" "f2_file2_p1_analysed" "f3_file3_p1_raw"
This removes the _samples.txt part from your strings.
Why not:
strings <- c("file1_p1_analysed_samples.txt",
"file1_p1_raw_samples.txt",
"f2_file2_p1_analysed_samples.txt",
"f3_file3_p1_raw_samples.txt")
sapply(strings, function(x) {
pattern <- ".*(file[0-9].*)_samples\\.txt"
gsub(x, pattern = pattern, replacement = "\\1")
})
Things that match between ( and ) can be called back as a group in the replacement with backwards referencing. You can do this with \\1. You can even specify multiple groups!
Seeing your comment on Jan's answer. Why not define your static bits and paste together a pattern and always surround them with parentheses? Then you can always call \\i in the replacement of gsub.