Octave of course, it tries to emulate the syntax and functionality.
You really can not call Scilab or Julia "clones".
Octave of course, it tries to emulate the syntax and functionality.
You really can not call Scilab or Julia "clones".
You should learn python anyway. If you are familiar with matlab at all, it is pretty easy.
>tfw 118 IQ but can't load a data file into this for my entry level stats class
Am I retarded?
if its a csv with header columns just type into R
read.csv(file.choose(),header=TRUE)
Yes.
anything below 130 IQ is
tfw strongly prefer Eviews and SPSS but R is too important to avoid using
It does worth learning. Both R and python. Matlab is you are an engineer, they have some shit for simulations.
lol terrible opinion. how do you prefer spss that shit is garbage and doesn’t hold a candle to R
Bullshit. The only reason python is on the map for data science applications is because devs don't want to deploy R code in the wild and deep learning is still getting a shitton of attention. Scikitlearn and numpy were hardly on the map before deep learning took off. Pandas is just a clunky attempt to port R's native data structures to Python.