How long till we run out of fresh data to train the latest AI? Summarise after using pivot_wider. 3. Pivot_wider function (tidyr r package) from multiple
I would like to use the pivot_longer() function in R to restructure this dataset. Given that there are quite a few group categories I'm having difficulty in writing the code for this. Given that there are quite a few group categories I'm having difficulty in writing the code for this.
2 Answers. Sorted by: 2. You could use names_sep = '_' here, which will split the relevant column names into the two pieces separated by the underscore. We then specify names_to = c ('index', '.value'), which will place all the pieces to the left of the underscore (i.e. the letters) in a column called index.
df %>% pivot_longer(-c(ID, Date_First_test, Date_second_test, Date_third_test), names_to = "test", values_to = "hemoglobin") Whilst this part works, I want one date for each test in one column. However, I want to be even more sophisticated and rather than use the date itself, use the relative admission day.
Then you can use the pivot_longer () function like this: pivot_longer (cols = the columns that will pivot. In the example I chose setup an index by excluding country and world_cd that will be fixed using ! , names_to = new variable col name to hold the pivoted column names, except those in the parameter cols above (e.g. 1960, 1962, 1963
However, later on in my report, I was showing some plots of the distribution on my data and had been using pivot_longer to show multiple variables in the same graph. It worked when i had the scale function originally, but now I'm struggling with using datawizard::standardize.
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how to use pivot_longer in r
