My model needs to change the cost based on the product of Tonnage of the individual facility and the $/tonne value of waste operated at the individual facility. if ( SEX=="MALE" & SPORT=="CADET" & Bazett_formula <400) {"Primary"} else if (SEX=="MALE" & SPORT=="CADET" & Bazett_formula >400 ) {"Secondary", } else if ( SEX=="FEMALE" & SPORT=="CADET" & Bazett_formula <400) {. the sum of the waste going to the 3 facilities is the same as that of collected waste). library(stringr) # --- You need this library, if(sum(str_detect(toupper(x), "AILE"))) AILE_V = 0 else AILE_V = 1. If there are other situations such as typos, you will have to do some corrections to account for them. Combined total. I am using RMarkdown in order to form pdf files but the #tinytex::install_tinytex() doesn't work properly and give me some errors such as below: "Error: LaTeX failed to compile try2.tex. Also, have in mind that recoding your factor variables as integers (i.e. 5.3.1 More Levels. Before doing that I have to make index of climate change (with only two variables temperature and precipitation). Climate change index for annual temperature and precipitation?

I applied your function but the output was not similar to yours, [1] 1 0 0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 1 0, [21] 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0, [41] 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0, [61] 0 0 0 1 0 1 0 0 1 1 1 0 0 0 1 0 0 0 0 1, [81] 0 0 0 0 0 0 1 0 1 0 1 0 1 1 0 1 0 1 1 1, [101] 0 0 0 0 0 0 0 1 0 0 1 0 0 1 1 1 1 1 0 1, [121] 1 0 1 1 0 1 0 0 1 0 0 0 0 0 0 0 0 1 1 1, [141] 1 1 0 0 0 0 0 0 0 0 1 1 0 1 0 1 0 0 0 0, [161] 0 1 0 0 1 0 0 1 0 1 0 0 0 0 0 1 1 1 1 0, [181] 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0. Is it only capitalized letters that are affecting your unique values?

same number of rows as inputted data and original columns plus the newly I have a very large data with 286 rows and 10 columns. If FALSE (default), then it Dummy variables are often convenient but are not the only option. each of these pets would become its own dummy column. Other dummy functions: columns rather than character columns. If there is a tie for most frequent, will remove the first Would be helpful if I can find good insights and inputs for the problem. I'm trying to do statistics in R software. This was what i tried. A string to split a column when multiple categories are in the cell. When the condition has length > 1 in ifelse in r and there are more than 2 statements how to use ifelse? I did the normality test using the command. The dummy I want to create is for measuring financial independence. I am also going to try your advice and let you know about the process. Gold.1 Silver.1 Change factor levels by hand, Also, some good info on recoding dummy variables using ifelse() here:

(by alphabetical order) category that is tied for most frequent.

Now, I want the variation among these three dependent variable waste fractions (in tonnes) so that the cost (in $ )changes. If I break a categorical variable down into dummy variables, I get separate feature importances per class in … 3 dependent variables and one independent variable which statistical analysis to go for? View source: R/dummy_cols.R. Function dummy from package dummies don't work as I want to. You need to create some kind of coding scheme. ought to return 1 instance of each of your categories; if it returns two or more, you have some recoding to do. Który z nich działa na wszystk... Join ResearchGate to find the people and research you need to help your work.

Just check the type of variable in R if it is a factor, then there is no need to create dummy variable .

We can go beyond binary categorical variables such as TRUE vs FALSE.For example, suppose that \(x\) measures educational attainment, i.e.

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