multiple-columns

I have this, but I feel 4 is too big for my sidebar width and 3 is too small (it has to add up to 12). <div class="col-md-8"> <div class="col-md-4"> I tried this but it doesn't work: <div class="col-md-8.5"> <div class="col-md-3.5"> Is there another way to get a similar outcome? Thanks for your help! To expand on @isherwood's answer, here is the complete code for creating custom -sm- widths in Bootstrap 3.3 In general you want to search for an existing column width (say col-sm-3 ) and copy over all the styles that apply to it, including generic ones, over to your custom stylesheet where you

Ok, second R question in quick succession. My data: Timestamp St_01 St_02 ... 1 2008-02-08 00:00:00 26.020 25.840 ... 2 2008-02-08 00:10:00 25.985 25.790 ... 3 2008-02-08 00:20:00 25.930 25.765 ... 4 2008-02-08 00:30:00 25.925 25.730 ... 5 2008-02-08 00:40:00 25.975 25.695 ... ... Basically normally I would use a combination of ddply and summarize to calculate ensembles (e.g. mean for every hour across the whole year). In the case above, I would create a category, e.g. hour (e.g. strptime(data$Timestamp,"%H") -> data$hour and then use that category in ddply , like ddply(data,"hour", summarize,

I have a data table containing 20000+ rows and one column. The string in each column has different number of words. I want to split the words and put each of them in a new column. I know how I can do it word by word: Data [ , Word1 := as.character(lapply(strsplit(as.character(Data$complaint), split=" "), "[", 1))] ( Data is my data table and complaint is the name of the column) Obviously, this is not efficient because each cell in each row has different number of words. Could you please tell me about a more efficient way to do this? Check out cSplit from my "splitstackshape" package. It works

When I create the saved procedure, i can create some variable yes? for example: CREATE PROCEDURE `some_proc` () BEGIN DECLARE some_var INT; SET some_var = 3; .... QUESTION: but how to set variable result from the query, that is how to make some like this: DECLARE some_var INT; SET some_var = SELECT COUNT(*) FROM mytable ; ? Roland Bouman There are multiple ways to do this. You can use a subquery: SET some_var = (SELECT COUNT(*) FROM mytable); (like your original, just add parenthesis around the query) or use the SELECT INTO syntax to assign multiple values: SELECT COUNT(*), MAX(col) INTO some

This question already has an answer here: Add ID column by group [duplicate] 4 answers How to create a consecutive index based on a grouping variable in a dataframe 6 answers I have a dataframe (df) that looks like this: School Student Year A 10 1999 A 10 2000 A 20 1999 A 20 2000 A 20 2001 B 10 1999 B 10 2000 And I would like to create a person ID column so that df looks like this: ID School Student Year 1 A 10 1999 1 A 10 2000 2 A 20 1999 2 A 20 2000 2 A 20 2001 3 B 10 1999 3 B 10 2000 In other words, the ID variable indicates which person it is in the dataset, accounting for both Student