plyr | A hyperminimal , lightweight macOS desktop music application | Audio Utils library

I am trying to recode my education variable from a factor with 18 levels to a factor with 7 levels,ranging from no qualification - GCSE D-G, GCSE A*-C- A Level -Undergraduate -Postgraduate - other.

Good afternoon ,

Assume we have the following :

I have the following dataframe:

I am trying to install the Vue Filemanager to my package.json. However, when I try to install the package using npm install and npm run dev I get this error:

I am having the hardest time getting a multi-line plot in R. I am new to R and none of the existing suggestions are working for me.

I would like to graph a different line for each pheno with time+1 on x and adj_sc on y.

Small example of data I am pulling from an excel spreadsheet (marginal_plot_data):

and here is dput(aa)

I am trying to order a table that has 3 variables, commonly known as a 3-way table.

I have attached a picture of the structure of the table the replicable code will produce.

Is it possible to order this table in a logical way, despite the fact it is essentially split into three sections/groups? For instance, could you order by the column "No" or the column "Yes" based on the values? For example, when ordering "No" England would be ordered as "Sertosa" (7), Virginica (8), Versicolour (16). Wales would be ordered Versicolor (11), Setoda (12), Virginica... and so on for each section of the table.

#Replicable code using the Iris data built into R:

I would like to get some help on the following problem. I have a dataframe in which I have columns v1, v2, etc. I want to know what are distinct columns in this dataset. The first column is “change_no” and the rest of the columns are serial numbers that are applicable (in this case y) or not applicable (in this case, n) for each of the change numbers.

I want to find the distinct columns of change numbers and after that for each of the serial numbers, I want to map it to the “distinct” change number column that is found. I believe that I am not doing this the most efficient way.

In the example, below, v1 and v4 are identical and v2 and v5 are identical. v3 and v6 do not have duplicate columns. This means that the non duplicate columns are: v1, v2, v3, v6. I now would like to get a mapping like below

v1,v1
v2,v5
v3,v3
v4,v1
v5,v5
v6,v6

Hi I have 2 pieces of code, they are doing the same, one is using a dataset that comes with R, the other a .csv file that I have created, nothing on the code has changed other than more columns on the .csv file with different names, but for some reason I am getting a wrong output

the csv file for this code is located here https://github.com/juandavidlozano/Data_1/blob/main/high_northell.csv

this is the first code

I would like to create like a last X days coefficients and intercept and paste that on that day then move to the next day and paste again the last X days coefficients and intercept and so on.

I use the dataset that comes with R called economics

this is the code I have so far