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Below is the data that I have:

Item    Date
Apple   09/06/2015
Orange  19/06/2015
Pear    01/09/2015
Kiwi    20/10/2015

I would like to count the items by the month and year in Date column in R.

Below is the output I would like to achieve:

Date       Frequency
05/2015    0
06/2015    2
07/2015    0
08/2015    0
09/2015    1
10/2015    1

Thank you.

poppp
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2 Answers2

9

Just make sure you have the date in the proper format, then you can use cut and table, plus some formatting if you want to trim the days,

## Convert to date
dat$Date <- as.Date(dat$Date, format="%d/%m/%Y")

## Tabulate
tab <- table(cut(dat$Date, 'month'))

## Format
data.frame(Date=format(as.Date(names(tab)), '%m/%Y'),
           Frequency=as.vector(tab))
#      Date Frequency
# 1 06/2015         2
# 2 07/2015         0
# 3 08/2015         0
# 4 09/2015         1
# 5 10/2015         1
Rorschach
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3

Assuming you're after monthly totals, I would use lubridate and dplyr:

library(lubridate)
library(dplyr)

data$Date <- dmy(data$Date)
data$date_formatted <- format(data$Date, "%m/%Y")

data %>% group_by(date_formatted) %>% summarise(frequency = n())

This gives the following output:

  date_formatted frequency
1        06/2015         2
2        09/2015         1
3        10/2015         1
M. Zoller
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Tom McMahon
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