matching

I have a dataframe, d<-data.frame(name=c("brown cat", "blue cat", "big lion", "tall tiger", "black panther", "short cat", "red bird", "short bird stuffed", "big eagle", "bad sparrow", "dog fish", "head dog", "brown yorkie", "lab short bulldog"), label=1:14) I'd like to search the name column and if the words "cat", "lion", "tiger", and "panther" appear, I want to assign the character string feline to a new column and corresponding row species . If the words "bird", "eagle", and "sparrow" appear, I want to assign the character string avian to a new column and corresponding row species . If the

I have a string for example "ab ad adk fda kla kad ab ab kd". I want to get all range of ab.(Here ab is present at 3 position so I should get 3 range).In normal scenarion my code is working fine, but if search text is ".",then I am getting wrong result do { let regEx = try NSRegularExpression(pattern: searchText, options: NSRegularExpressionOptions.CaseInsensitive) let matchesRanges = regEx.matchesInString(attributedText.string, options:[], range: NSMakeRange(0, attributedText.string.length)) for rng in matchesRanges { let wordRange = rng.rangeAtIndex(0) } } catch { ... } The following

I would like to create a so-called matching vector consisting of binaries. All numbers should be zero unless elements belong to the same variable. Here's an example: dataset=("a","b","c","d","x","y","z") var1=c("a","b","y","z") var2=c("c","d","x") Thus, I have a dataset with all the variables in the first line. Now I create two groups: var1 and var2. The matching vector for the element "a" is supposed to look like: matching_a=c(1,1,0,0,0,1,1) The numbers correspond to my dataset. If the variables in my dataset are in the same group, there should be a 1 in my matching vector, and a 0 otherwise.

I am trying to compare two addresses from the same ID to see whether they match. For example: Id Adress Code Address 1 1 123 Main 1 2 123 Main 2 1 456 Wall 2 2 456 Wall 3 1 789 Right 3 2 100 Left I'm just trying to figure out whether the address for each ID matches. So in this case I want to return just ID 3 as having a different address for Address Code 1 and 2. Join the table with itself and give it two different aliases ( A and B in the following example). This allows to compare different rows of the same table. SELECT DISTINCT A.Id FROM Address A INNER JOIN Address B ON A.Id = B.Id AND A.

I want to select multiple columns based on their names with a regex expression. I am trying to do it with the piping syntax of the dplyr package. I checked the other topics, but only found answers about a single string. With base R: library(dplyr) mtcars[grepl('m|ar', names(mtcars))] ### mpg am gear carb ### Mazda RX4 21.0 1 4 4 ### Mazda RX4 Wag 21.0 1 4 4 However it doesn't work with the select/contains way: mtcars %>% select(contains('m|ar')) ### data frame with 0 columns and 32 rows What's wrong? You can use matches mtcars %>% select(matches('m|ar')) %>% head(2) # mpg am gear carb #Mazda

My input file is as below : HEADER {ABC|*|DEF {GHI 0 1 0} {{Points {}}}} {ABC|*|DEF {GHI 0 2 0} {{Points {}}}} {ABC|*|XYZ:abc:def {GHI 0 22 0} {{Points {{F1 1.1} {F2 1.2} {F3 1.3} {F4 1.4}}}}} {ABC|*|XYZ:ghi:jkl {JKL 0 372 0} {{Points {}}}} {ABC|*|XYZ:mno:pqr {GHI 0 34 0} {{Points {}}}} { ABC|*|XYZ:abc:pqr {GHI 0 68 0} {{Points {{F1 11.11} {F2 12.10} {F3 14.11} {F4 16.23}}}} } TRAILER I want to extract the file into an array as below : $array[0] = "{ABC|*|DEF {GHI 0 1 0} {{Points {}}}}" $array[1] = "{ABC|*|DEF {GHI 0 2 0} {{Points {}}}}" $array[2] = "{ABC|*|XYZ:abc:def {GHI 0 22 0} {{Points {

I want to search for a given string pattern in an input sting. For Eg. String URL = "https://localhost:8080/sbs/01.00/sip/dreamworks/v/01.00/cui/print/$fwVer/{$fwVer}/$lang/en/$model/{$model}/$region/us/$imageBg/{$imageBg}/$imageH/{$imageH}/$imageSz/{$imageSz}/$imageW/{$imageW}/movie/Kung_Fu_Panda_two/categories/3D_Pix/item/{item}/_back/2?$uniqueID={$uniqueID}" Now I need to search whether the string URL contains " /{item}/ ". Please help me. This is an example. Actually I need is check whether the URL contains a string matching "/{a-zA-Z0-9}/" You can use the Pattern class for this. If you