I have a list of strings which contain random characters such as:
list=list()
list[1] = \"djud7+dg[a]hs667\"
list[2] = \"7fd*hac11(5)\"
list[3] = \"2tu,g7gka
For the second answer, you can use gsub to remove everything from the string that's not a number, then split the string as follows:
unique(as.numeric(unlist(strsplit(gsub("[^0-9]", "", unlist(ll)), ""))))
# [1] 7 6 1 5 2
For the first answer, similarly using strsplit,
unique(na.omit(as.numeric(unlist(strsplit(unlist(ll), "[^0-9]+")))))
# [1] 7 667 11 5 2
PS: don't name your variable list (as there's an inbuilt function list). I've named your data as ll.
Here is yet another answer, this one using gregexpr to find the numbers, and regmatches to extract them:
l <- c("djud7+dg[a]hs667", "7fd*hac11(5)", "2tu,g7gka5")
temp1 <- gregexpr("[0-9]", l) # Individual digits
temp2 <- gregexpr("[0-9]+", l) # Numbers with any number of digits
as.numeric(unique(unlist(regmatches(l, temp1))))
# [1] 7 6 1 5 2
as.numeric(unique(unlist(regmatches(l, temp2))))
# [1] 7 667 11 5 2
A stringr solution with str_match_all and piped operators. For the first solution:
library(stringr)
str_match_all(ll, "[0-9]+") %>% unlist %>% unique %>% as.numeric
Second solution:
str_match_all(ll, "[0-9]") %>% unlist %>% unique %>% as.numeric
(Note: I've also called the list ll)
Check out the str_extract_numbers() function from the strex package.
pacman::p_load(strex)
list=list()
list[1] = "djud7+dg[a]hs667"
list[2] = "7fd*hac11(5)"
list[3] = "2tu,g7gka5"
charvec <- unlist(list)
print(charvec)
#> [1] "djud7+dg[a]hs667" "7fd*hac11(5)" "2tu,g7gka5"
str_extract_numbers(charvec)
#> [[1]]
#> [1] 7 667
#>
#> [[2]]
#> [1] 7 11 5
#>
#> [[3]]
#> [1] 2 7 5
unique(unlist(str_extract_numbers(charvec)))
#> [1] 7 667 11 5 2
Created on 2018-09-03 by the reprex package (v0.2.0).
You could use ?strsplit (like suggested in @Arun's answer in Extracting numbers from vectors (of strings)):
l <- c("djud7+dg[a]hs667", "7fd*hac11(5)", "2tu,g7gka5")
## split string at non-digits
s <- strsplit(l, "[^[:digit:]]")
## convert strings to numeric ("" become NA)
solution <- as.numeric(unlist(s))
## remove NA and duplicates
solution <- unique(solution[!is.na(solution)])
# [1] 7 667 11 5 2
# extract the numbers:
nums <- stri_extract_all_regex(list, "[0-9]+")
# Make vector and get unique numbers:
nums <- unlist(nums)
nums <- unique(nums)
And that's your first solution
For the second solution I would use substr:
nums_first <- sapply(nums, function(x) unique(substr(x,1,1)))