> booleanresult = booleanresult = 1 1 0 0
The same is achieved in R like so: > result = my2ddataīoolean data is important when indexing data in both Matlab and R. Which returns the entirety of second column. If we want to pull an entire row or column out of 2d data in matlab > result = my2ddata(:,2)
Convert matlab to r code#
The equivalent code in matlab is > result = my2ddata(1,2) įairly straight forward, square brackets replace round when indexing. Which gives you the first row, second column. In R we can get at indexes of 2-dimensional data like so > result = my2ddata So when creating matrices, use the byrow=T argument, make sure your matrix doesn’t end up rotated. For now, we can fix this by telling R to assign our vector by row. I’m going to go into some very important differences in how Matlab and R deal with data in the next section. > matrix(c('A','B','C','D'),nrow=2,ncol=2) "A" "C" "B" "D"īut wait! That’s wrong! That isn’t the result the Matlab code produces. R’s equivalent is a bit clunkier unfortunately, requiring you to create a vector, then convert it into a matrix of a given size. Similarly one way of creating 2-dimnesional data in Matlab is like this > result= result = AB CD The equivalent commands to create 1d data (vectors) in R is: > (result = c(1,2,3,4,5)) 1 2 3 4 5 > (result = 1:5) 1 2 3 4 5 I’m going to go into the different ways that R and Matlab deal with data in the next section, but for now: 1-dimensional data in Matlab can be created like this: > result= result = 1 2 3 4 5 > result= result = 1 2 3 4 5 Hitting an unexpected % sign will cause R to crash, so make sure you replace all % with # if you want to keep the comments! #This is a comment # Anything after the # symbol is ignored! # %This is a comment %%%%%%%%%%% % Anything after the % symbol is ignored! % %%%%%%%%%% If you want to assign something to an object AND print it to the console you can just put the whole command in brackets: > result = sum(1,1,1) #Prints nothing > (result=sum(1,1,1)) 3Ĭomments in matlab code look like this.
Incidentally, R’s normal behaviour is to print nothing to the console when something is assigned to an object (the opposite of Matlab which will return everything, assigned or not, if you don’t suppress it). In R ‘ ’ is used to indicate the end of a command, allowing for multiple commands to be placed on the same line like so: > sum(c(1,1)) sum(c(1,2)) 2 3 There is no reason to remove these from the end of lines as they will have no effect in R. I personally use notepad++.įirstly although many of us are taught to use > result=sum() result = 3 %prints result > result=sum() %does not print result R-studio or tin-R are great options that you might already have. Though I generally just code straight into R’s script window, I really recommend some form of better editor for this kind of work, something that will recognise R’s syntax and hopefully help you spot problems via use of colour and formatting. I’ll go over functions and flow control differences in another section. If you’re somewhat familiar with both you can probably skip this part. I’m assuming most people who end up needing to do this will have some code background, but I’ll run through some of the most common things that differ in both languages.
I hope some people find it useful!ġ.- Some syntax basics for absolute beginners. This should also function as an R users guide to learning Matlab syntax and vice versa. I mentioned in a previous post that I’d write a guide about translating Matlab code to work in R, so that others can avoid the same mistakes I made.
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