how to fix elysian hack error data too large

After all, at least for some users, the credibility of your site depends on it. Today, I’m going to give you some helpful solutions for those crowded navigation menus so that they look great even on those not so common screen sizes. I get the menu looking just right for desktop and then you check it on a tablet (especially an iPad Pro) and the logo is overlapping the menu and some of the links have jumped down one line. But for the default menu style with the logo on the left and the menu links to the right, things can easily get shuffled around on smaller screen sizes, especially when you have too many links crowding the header. Thankfully, Divi’s theme customizer allows you to customize the primary menu with some pretty cool header options. I wish it wasn’t that important, but since the navigation is normally at the top of every page of your site, it is the thing that is visible first on every page.

words with a number in every row).Creating a responsive navigation menu that looks great on all screen sizes can be difficult. So, although words that occur once or twice will make up about 60% of your columns, you will reduce the size in terms of memory more by removing the most frequent words (i.e. One thing to note is that removing sparse rows/columns will not help much. That is a massive DTM, so you may still run into memory issues - which will depend on your machine. If you update text2map to version 0.1.5, Matrix is loaded by default. This is also true for the bracket operators [. If the Matrix package is loaded, rowSums will be replaced with the Matrix package's own method, which works with dgCMatrix. If we use the base R rowSums you get the error: rowSums(m1)Įrror in rowSums(dtm): 'x' must be an array of at least two dimensions Here is an example dgCMatrix (note not loading Matrix package yet) m1 <- Matrix::Matrix(1:9, 3, 3, sparse = TRUE) You would need to load the Matrix package first. Matrix package sparse matrix classes are very memory efficient when a matrix has a lot of zeros (like a DTM) by simply not allocating memory for the answer should work, but there is a rowSums function in base R and a rowSums function from the Matrix package. The short answer to your problem is that you're likely converting a sparse object to a dense object.

How to fix elysian hack error data too large