subset

I would like to write function as this find : multi_set<int, string, double, myType> m; //vector of tuples m.insert(/*some data*/); m.find<1,2>("something",2.123); Or m.find<0,3>(1,instanceOfMyType); m.find<1>("somethingelse"); Where find can be parametrized corresponding to any subset of tuple parameters. My code so far: template <typename ... T> class multi_set{ typedef tuple < T... > Tuple; vector<tuple<T...>> data = vector<tuple<T...>>(); public: void insert(T... t){ data.push_back(tuple<T...>(t...)); } template<size_t ... Pos> void find(???){ // then I would like to use those params to

I have a larger dataset following the same order, a unique date column, data, unique date column, date, etc. I am trying to subset not just the data column by name but the unique date column also. The code below selects columns based on a list of names, which is part of what I want but any ideas of how I can grab the column immediately before the subsetted column also? Looking to end up with a DF containing Date1, Fire, Date3, Earth columns (using just the NameList). Here is my reproducible code: Cnames <- c("Date1","Fire","Date2","Water","Date3","Earth") MAINDF <- data.frame(replicate(6,runif

I'm quite new at Coq and trying to develop a framework based on my research. My work is quite definition-heavy and I'm having trouble encoding it because of how Coq seems to treat sets. There are Type and Set , which they call 'sorts', and I can use them to define a new set: Variable X: Type. And then there's a library encoding (sub)sets as ' Ensembles ', which are functions from some Type to a Prop . In other words, they are predicates on a Type : Variable Y: Ensemble X. Ensemble s feel more like proper mathematical sets. Plus, they are built upon by many other libraries. I've tried focussing

I have a matrix that I would like to subset and eventually use to make a plot. The data is a list of counts for specific blood markers for each patient in a population. It looks like this: df <- data.frame(MarkerID=c("Class","A123","A124"), MarkerName=c("","X","Y"), Patient.1=c(0,1,5), Patent.2=c(1,2,6), Patent.3=c(0,3,7), Patient.4=c(1,4,8)) I would like to make a data frame of all of the patients (columns 3-6) that have a class value of zero (1st row) and a second data frame of all of the patients with a class value of 1. In the past I have used the subset function to select rows based on

I want to subset some rows of a data table. Like this: # load data data("mtcars") # convert to data table setDT(mtcars,keep.rownames = T) # Subset data mtcars <- mtcars[like(rn,"Mer"),] # or mtcars <- mtcars[mpg > 20,] However, I'm working with a huge data set and I wanted to avoid using <- , which is not memory efficient because it makes a copy of the data. Is this correct? Is it possible to update the filtered data without <- ? What you are asking would be delete rows by reference . It is not yet possible, but there is FR for that #635 . Until then you need to copy (in-memory) your data

Closed. This question is off-topic. It is not currently accepting answers. Learn more . Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 6 years ago . I have a data frame with several rows. I want to select some rows with specific rownames (such as stu2,stu3,stu5,stu9 ) from this dataframe. The input example dataframe is as follows: attr1 attr2 attr3 attr4 stu1 0 0 1 0 stu2 -1 1 -1 1 stu3 1 -1 0 -1 stu4 1 -1 1 -1 stu5 -1 1 0 1 stu6 1 -1 1 0 stu7 -1 -1 -1 1 stu8 1 -1 0 -1 stu9 -1 -1 1 -1 stu10 -1 1 0 1 Expected output: attr1 attr2 attr3 attr4 stu2