R

Maybe you can try to use the function gc(). A call of gc() causes a garbage collection to take place. It can be useful to call gc() after a large object has been removed, as this may prompt R to return memory to the operating system. gc() also return a summary of the occupy memory.

This should do: So in short, no there is no alternative to reassigning. Edit: Correcting myself, one can also do it in place: assign rowname attributes, then remove column:

I have the following condensed data set: I would like to sum the columns Var1 and Var2, which I use: In reality my data set is much larger – I would like to sum from Var_1 to Var_n (n can be upto 20). There must be a more efficient way to do this than:

How to initialize a vector with fixed length in R ?? For example, I want a vector of characters with length of 10??

The filter() function comes from the dplyr package. Be sure you’ve loaded it before running those lines. Otherwise, you’re running a comparison with class(), the built-in function, rather than mpg$class.

In R you can’t use , to separate line, but you can use ;. Also, the way you are doing considers a,b and c are boolean (TRUE/FALSE), which is not the case as they are numbers. Your condition should be : Note that your code will run nevertheless, even if a,b and c are not … Read more

I want to predict column 3 of test_set, but I keep getting Error in eval(predvars, data, env) : object ‘Rm’ not found Even though I specify test_set[3] not test_set[1] which contain Rm The column names are as follows: Rm, Lstat, and Medv. test_set[3] and test_set[2] give the same following error: Error in eval(predvars, data, env) … Read more