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.
I've looked at other answers but cannot find a solution for the code below to work. Basically, I'm creating a function that inner_join the two data frame and filter based on a column inputted in the function.
I've tried searching through the forums and unable to find help. I'm quite new to R, and am having limited success in loading in some strings to be used as a formula.
I have data as follows and I want to create new variable that takes into account the preceding information in the prior period. For example,
This is my dataframe:I want to extract col1=df[] as a dataframe. Then col1 of the second position of this list I want to merge to the df[], then I will have a dataframe with 2 columns. After this I want to merge the column 1 of the third position of...
There are great questions and answers on how to move a column to the first or last place.Using dplyr The best answers are respectively analog to :
Suppose this is my datasetI need calculate frequency for two groupsand for variable var1, calculate count of 1 value and 2 value. For each group. So the desired output