![]() ![]() This is a quick way to debug a common problem. Place your cursor on the right side of any parentheses (open or close) and it will highlight to corresponding one. RStudio provides parenthesese highlighting. In R, it can be easy to become lost with your open and closing parentheses. tolower(qindustry))) - make the string lowercase and close all parentheses.str_squish( - trim the whitespace in the following string.qindustry = - make the column “qindustry” equal to the following.rsurvey % - means to use the “rsurvey” data object “and then”.That is not ideal, but we have a few more tools we can use to fix this. This reduced the number of unique values to 125. Rsurvey %>% count(qindustry) %>% slice( 1 : 10) # qindustry n This works, so lets apply it to the real data set: This is an easy way to check that you have closed all functions, useful for debugging problems. If you place your cursor after it, the corresponding opening parentheses will be highlighted. ) this final parentheses closes the mutate function.Note that NA refers to missing data and is not in quotes.levels=c("None","Beginner", "Intermediate", "Expert", NA )) set the level names and orders to these.factor(qr_experience, make a factor from “qr_experience”.Note: we could have done mutate(qr_experience) and overwritten our column, but if we create a new variable, we can compare them side by side (for demonstration purposes).qr_experience2 = we will create a new variable “qr_experience2” equal to the next command.mutate( means we are going to make a change.select(qr_experience) %>% means we are only going to keep this variable in our data (to make demonstration easier), and.recoded % tells R to use the “rsurvey” data object and….Now our factors are in the correct order and if we wanted to do some statistical test, it would be much more accurate. Recoded %>% count(qr_experience2) # qr_experience2 n mat=TRUE) - Show a matrix in the output instead of a more complicated list.group=age$qr_experience - The grouping variable.describeBy(age$age, - The numeric variable.2020-rsurvey$qyear_born - Subtract rsurvey$qyear_born from the current year, 2020. ![]()
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