conc | Conc is a concatenative programming language | Interpreter library

I am working with a mongo database model building using mongoengine. I want to modify DictField by the result created in another function

I am trying to put Several RColorBrewer Palettes that goes from lower tones to darker tones in one ggplot. But so far I've been unsuccessful and I've found that I can only use one. My data set data:

So I have sampled a set of lakes at x timepoints throughout the year. I also have deployed loggers etc. in the water and I want to use daily averages from these loggers, at the timepoint of the visit to x days/hours before. Sometimes I also just grab the a sample for the timepoint of the visit.

This is my solution, it works just fine but since I experiment alot with some model assumptions and perform sensitivity analyses it operates unsatisfactory slow.

I seem to have solved most of my R problems with loops and I often encounter more efficient scripts, it would be very interesting to see some more effective alternatives to my code.

Below code just generates some dummy data..

Problem: Given a binary search tree in which the keys are numbers, we'll define the operation 'cumsum' ( shorthand for cumulative sum ) that switches the key of every node in the tree with the sum of all the keys that are smaller or equal to it.
For example,

In this example,
The key 5 in the root is switched to the value 10: the sum of the original key in the root ( which is 5 ) and all smaller keys than it ( which are 2 and 3 ).
The key 3 is switched with the value 5: sum of the original key in this node ( meaning, 3 ) and all the smaller keys than it ( which is 2 ).
The key 12 in the rightmost node is switched with the value 45: sum of the original key in this node ( meaning, 12 ) and all the smaller keys than it ( which are 2,3,5,6,8 and 9 ).

Note that the method needs to be an envelope function that envelopes a recursive function. Also note that the method cumsum does not return a new tree but rather updates the tree itself ( in-place )

My attempt:

I'm working on this figure and wondering if it's possible to get a mean line (like the black line in the figure) but for each concentration group.

Sorry I can't share the data with you. Ideas?

I'm trying to edit the facet label's text produced by emmean's arrow plot using ggplot2's syntax to override the default.

I have recieved a exercice to learn about data types in haskell and I can't figure out how to solve this one.

They got me a data like : data CatLista a = Nil | Unit a| Conc (CatLista a) (CatLista a) deriving Eq and I need to make the data types become: Nil -> [] , Unit x -> [x] , Conc -> same operator as (++)

So if you run Conc (Unit 9)(Conc (Unit 5) (Unit 3)) == Conc (Conc (Unit 9) (Unit 5))(Conc (Unit 3) Nil) should give true and Conc (Unit 9)(Unit 3) == Conc (Unit 3) (Unit 9) should give false.

I already tried instancing the show class like this:

I am attempting to display a linear model for low x values and a non-linear model for higher x values. To do this, I will use DNase as an example:

I am fitting the same linear model in two different ways, resulting in the same parameter estimates but differing R-squared values. Where does the difference come from? Is this a bug in R? Here is my code: