search for: slurri

...+ ifelse(apply( + sapply(chemical_df$chemical, + function(x) grepl(x, concept_df$concept)), + 1, any), + "chemical", "")) concept category 1 butan acid chemical 2 nano diamond particl 3 slurri composit 4 composit ph polis chemical 5 inorgan particl 6 grind liquid 7 liquid formul 8 nanoparticl 9 size abras particl 10 agent malic acid chemical Or, if you're wedded to magrittr: > sappl...

I have two data frame. I want to use "chemical_df" to match "concept_df " concept_df <- data.frame(concept=c("butan acid ", "nano diamond particl", "slurri composit", "composit ph polis", " inorgan particl ", "grind liquid", "liquid formul", "nanoparticl", "size abras particl", "agent malic acid")) chemical_df <- data.frame(chemical=c("basic", "alkalin"...

I''m trying to set up cucumber so we can try it in some Ruby automation scripts I''m working on. These will be straight Ruby, for use in BBEdit and TextMate (on the Mac). NOT Rails. The big early-stage stumbling block I''m having is setting up the initial Rakefile and directory structure. I think I''m rtfm''ing, but clearly I''m missing

Hello all, I've set up a live mp3 stream for our non-commercial radio station, and just recently I've received a slurry of complaints from folks using Windows Media Player. Most of the complaints vary, but seem to be consistent regarding long buffer time, odd drop outs, long reconnect times, etc. Normally, I refer folks to one of the infinitely better players out there, but now the

...cal_match <- str_c(chemical, collapse = "|") chemical_match concept_df$match[str_detect(concept_df$concept, chemical_match)] <- "chemical" concept_df > concept_df concept match 1 butan acid chemical 2 nano diamond particl FALSE 3 slurri\ncomposit FALSE 4 composit ph polis chemical 5 inorgan particl FALSE 6 grind liquid FALSE 7 liquid formul FALSE 8 nanoparticl FALSE 9 size abras particl FALSE 10 agent malic acid chemical -- *Abraham MathewData Ninja and Statistical...