Hi, when I used the summary() function on a data(containing both numerical and categorical variable), the summary of the categorical data shows the length, class and mode of the variables. I was expecting to see the summary in terms of the levels. Do I need to install a package to see that or there is some other problem?
I'd need to know what you expect to get from such function. I'm going to assume you need to compute a level-wise summary of the data using a list of functions (here I use the mean and SD as an example).
You can try with the combination of
summarise() from the package dplyr. I don't have the code or data you are using but it would look like this:
data %>% group_by(categorical_variable) %>% # group observations from the same level of categorical_variable summarise(mn1 = mean(numeric_variable1), # compute the mean of numeric_variable1 for each level of categorical_variable std1 = sd(numeric_variable1), mn2 = mean(numeric_variable2), std2 = sd(numeric_variabl2))
You can also group observations from combinations of levens from two categorical variables using
Hope this addresses you problem!
NOTE: Edited to indet the code properly.
If you run
summary(iris), you'll see:
> summary(iris) Sepal.Length Sepal.Width Petal.Length Petal.Width Species Min. :4.300 Min. :2.000 Min. :1.000 Min. :0.100 setosa :50 1st Qu.:5.100 1st Qu.:2.800 1st Qu.:1.600 1st Qu.:0.300 versicolor:50 Median :5.800 Median :3.000 Median :4.350 Median :1.300 virginica :50 Mean :5.843 Mean :3.057 Mean :3.758 Mean :1.199 3rd Qu.:6.400 3rd Qu.:3.300 3rd Qu.:5.100 3rd Qu.:1.800 Max. :7.900 Max. :4.400 Max. :6.900 Max. :2.500
Species is a factor (not just a vector of characters) so the summary breaks it down by level.
I suspect that the data frame you're considering doesn't have factors. Is that part of some tutorial you're following? Previous versions of
R (< 4.0.0) used to automatically turn strings into factors. This is no longer the case. So if you're following old-ish code, the behaviour will be a bit different; you'll see vectors of characters where you probably expect factors.
StringAsFactors =TRUE when building the data frames, or set the global option to TRUE with
options(stringsAsFactors = TRUE) to emulate what would happen in
Thank you for the suggestion. I am using R >4.0.0 but was expecting the strings to automatically turn into factors. Using the global option to TRUE, it works now!
Thank you for the reply. I was expecting the strings to automatically turn into factor and show the summary accordingly. Anyway I have followed the suggestion given by ChrisL and it works now.
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