I have a dataset that I want to group_by() and generate a histogram for each group. My current code is as follows:
I have a list of date frames:I am attempting to bind the data frames together into one data frame, unlisted. I want to pull only specific columns to make the end data frame however.
A simplified version of my dataset can be reproduced by the following:I am looking for a preferably dplyr solution to achieve the following.
I am wondering on how to get the unique number of characters from the text string. Let's say I am looking for a count of repetition of the words apples, bananas, pineapples, grapes in this string.
Say I want to run a loop until a condition is met, at which point the result is saved and the loop exits:
I have a data set that has the following information:If the value of UniqueNumber > 0, I would like to sum the values with dplyr for each subject from rows 1 through UniqueNumber and calculate the mean. So for Subject 001, sum = 2 and mean = .67.
Assume the following set of original transactions:It shows a (chronological) sequence of transactions with a starting balance of $100.00 and an ending balance of $95.65, with six transactions/changes.
I have a data frame with many columns of different types. I would like to replace each column with NA of the corresponding class.
I want to create a new variable that indicates the first specific observation of a value for a variable.
I am new to R programming and attempting to remove certain rows per a group of rows after a filtering criteria has been met.