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r - summarizing counts of a factor with dplyr - Stack Overflow I want to group a data frame by a column (owner) and output a new data frame that has counts of each type of a factor at each observation The real data frame is fairly large, and there are 10 diff
when to use factor () when plotting with ggplot in R? Is the general rule to use factor when the variable being used to determine the shape size colour is discrete, and not continuous? Or is there another use of factor in this context? It seems like the first command can be made like the second with the right legend, even without factor thanks edit: I get this when I use the colour=gear:
Pandas - make a column dtype object or Factor - Stack Overflow In pandas, how can I convert a column of a DataFrame into dtype object? Or better yet, into a factor? (For those who speak R, in Python, how do I as factor()?) Also, what's the difference between
r - Convert factor to integer - Stack Overflow Does anyone know of a way to coerce a factor into an integer? Using as character() will convert it to the correct character, but then I cannot immediately perform an operation on it, and as integer() or as numeric() will convert it to the number that system is storing that factor as, which is not helpful
Generating predicted values for levels of factor variable I am regressing a number of factor variables on a continuous outcome variable using lm() For example, fit<-lm(dv~factor(hour)+factor(weekday)+factor(month)+factor(year)+count, data=df) I would like to generate predicted values (yhat) for different levels of a factor variable while holding the other variables at their median or modal value For example, how would I generate the yhat for
r - Generic methods of factor and as. factor - Stack Overflow I developed an S3 class in R that behaves very similarly to factor variable, though not exactly The only snafu that I have left in my implementation is that factor and as factor are not generics
r - list all factor levels of a data. frame - Stack Overflow with dplyr::glimpse(data) I get more values, but no infos about number values of factor-levels Is there an automatic way to get all level informations of all factor vars in a data frame?