polya | A heuristic procedure for proving inequalities | Machine Learning library

I wish, for each polygon of a SpatialPolygonsDataFrame polyA (in my case each country in the wrold from wrld_simpl or GADM), and for each category of a categorical raster rcat, sum the values of another raster with quantitative values rquant. The final output would be a dataframe with the following columns: country name, category name, summed value.

I am familiar with bits of code but these do not fully allow me to figure out the right script to write. Is someone able to help me? Apologies for not providing a reproducible example here. Note that I'm working with rasters with 0.0083 resolution (ncell = 933120000), so I don't think converting the rasters to dataframes is a good idea.

The following script sums values from rquant for each polygon

I have a class I want to pickle using this function:

I have the following string

a = "AAWJBDJSDJBJSQQAAASDNDKSDKJSDKSJDDJKJSKJAAAAASKJDSJDKJSDKJDAAAAAAAA" The first thing I do is count the A's in the line:

a.count("A") This works fine.

The next thing I want to do is find the value of the longest overlapping "A". In this case it would be AAAAAAAA (8 times). So i want my output to be: The Longest polyA is 8

Does anyone know how I can do this?

I'm writing a code where I need to calculate the overlapping area of two polygons very frequently (one always is a square, the other one is a simple but in general non-convex polygon). However, using CGAL for this, I occasionally encounter segmentation faults. The following code provides a minimal example. Note that as soon as one of the point coordinates is moved by 0.001, everything works fine.

I have an object of type PolyaUrn called myUrn. I instantiate it and use some methods to manipulate it. Then, I get the int[] field of myUrn named ballCounts. I pass this int[] to a constructor to create a new object of type SimpleUrn, named su. However, when I try to call methods on su I get a NullPointerException. I am using the new keyword to create an object of type SimpleUrn and point to variable su. I don't understand why I can't reference su using the dereferencing operator .

Code below:

I have been reading a lot about the sutherland hodgman polygon clipping algorithm and understand the general idea. However, when I see the actual implementation of it (like the one below), I get confused about the coordinate comparisons such as those in the intersection and inside methods. Therefore, I was wondering if someone could elaborate on what and why? I see a ton of videos and articles explaining the general concepts but I really have trouble finding some explanation of the actual details regarding the implementation.

I'm trying to implement some draws using a polya urn scheme using Rcpp. Basically, I have a matrix I'm drawing from, and a 2nd matrix with weights proportional to the probabilities. After each draw, I need to increase the weight of whichever cell I drew.

I was running into some indexing errors which lead me to examine the sampling more generally, and I found that my weight matrix was getting modified by RcppArmadillo::sample. Two questions (1) is this behavior that I should have expected or is this a bug which I should report somewhere? (2) Any ideas on current work-around? Here's a reproducible example:

I am trying to recreate the Pólya urn model (https://en.wikipedia.org/wiki/Pólya_urn_model) in R, with ggplot. The model basically starts with 1 white and 1 black ball in an 'urn' and randomly chooses one ball and put it back together with a ball of the same color. I do this in R for lets say 10 iterations (so 10 times take out one ball and put it back together with another ball from the same color). And I run this say 5 times. Thus, i get a data frame of 5 columns (=for each run) and 10 rows (=for the iterations).

What I want is to illustrate is this but then this picture has a lot more trials and iterations obviously.

What I have so far is a data frame where each column is the fraction of white balls in the urn per trial/run and I would like to illustrate how the proportions changed for each iteration. And I want to show this separately for each run, so each run I would like to have in a different color.

I have looked through countless similar questions but did not find an answer. I think it's because my data frame has now 5 columns but when i reshape it then I get only a single column of the proportions and next to each I get a code illustrating which column it belonged to - but in this case ggplot only draws one single line in 4 colors.