I have a dataframe with 213 rows and 2 columns (Date and Article). The final aim is to reduce the number of rows by grouping the Date by quarterly. Obviously, I want texts from the Article column to be merged accordingly.
Let's take an example.
Date <- c("2000-01-05", "2000-02-03", "2000-03-02", "2000-03-30", "2000-04-13", "2000-05-11", "2000-06-08", "2000-07-06", "2000-09-14", "2000-10-05", "2000-10-19", "2000-11-02", "2000-12-14")
Article <- c("Long Text","Long Text","Long Text","Long Text","Long Text","Long Text","Long Text","Long Text","Long Text","Long Text","Long Text","Long Text","Long Text")
Date <- data.frame(Date)
Article <- data.frame(Article)
df <- cbind(Date, Article)
#Dataframe
Date Article
1 2000-01-05 Long Text
2 2000-02-03 Long Text
3 2000-03-02 Long Text
4 2000-03-30 Long Text
5 2000-04-13 Long Text
6 2000-05-11 Long Text
7 2000-06-08 Long Text
8 2000-07-06 Long Text
9 2000-09-14 Long Text
10 2000-10-05 Long Text
11 2000-10-19 Long Text
12 2000-11-02 Long Text
13 2000-12-14 Long Text
The final output I would like to obtain is the following:
Date Article
1 2000 Q1 Long Text, Long Text, Long Text, Long Text
2 2000 Q2 Long Text, Long Text, Long Text
3 2000 Q3 Long Text, Long Text
4 2000 Q4 Long Text, Long Text, Long Text, Long Text
Essentially, the rows have been grouped together by quarters as well as the corresponding text.
I tried to look around but I have no idea how to do it, unofrtunately.
Can anyone help me out?
Thanks!