string-matching

I have several ip addresses like: 115.42.150.37 115.42.150.38 115.42.150.50 What type of regular expression should I write if I want to search for the all the 3 ip addresses? Eg, if I do 115.42.150.* (I will be able to search for all 3 ip addresses) What I can do now is something like: /[0-9]{1-3}\.[0-9]{1-3}\.[0-9]{1-3}\.[0-9]{1-3}/ but it can't seems to work well. Thanks. Spudley The regex you've got already has several problems: Firstly, it contains dots. In regex, a dot means "match any character", where you need to match just an actual dot. For this, you need to escape it, so put a back

I've been working on a way to join two datasets based on a imperfect string, such as a name of a company. In the past I had to match two very dirty lists, one list had names and financial information, another list had names and address. Neither had unique IDs to match on! ASSUME THAT CLEANING HAS ALREADY BEEN APPLIED AND THERE MAYBE TYPOS AND INSERTIONS. So far AGREP is the closest tool I've found that might work. I can use levenshtein distances in the AGREP package, which measure the number of deletions, insertions and substitutions between two strings. AGREP will return the string with the

Is there a way to retrieve the (starting) character positions inside a string of the results of a regex match() in Javascript? Gumbo exec returns an object with a index property: var match = /bar/.exec("foobar"); if (match) { console.log("match found at " + match.index); } And for multiple matches: var re = /bar/g, str = "foobarfoobar"; while ((match = re.exec(str)) != null) { console.log("match found at " + match.index); } stagas Here's what I came up with: // Finds starting and ending positions of quoted text // in double or single quotes with escape char support like \" \' var str = "this

I have a data.frame with character data in one of the columns. I would like to filter multiple options in the data.frame from the same column. Is there an easy way to do this that I'm missing? Example: data.frame name = dat days name 88 Lynn 11 Tom 2 Chris 5 Lisa 22 Kyla 1 Tom 222 Lynn 2 Lynn I'd like to filter out Tom and Lynn for example. When I do: target <- c("Tom", "Lynn") filt <- filter(dat, name == target) I get this error: longer object length is not a multiple of shorter object length You need %in% instead of == : library(dplyr) target <- c("Tom", "Lynn") filter(dat, name %in% target)