Skip to content

Instantly share code, notes, and snippets.

@zjhiphop
Forked from mollietaylor/log.R
Created August 6, 2014 02:15
Show Gist options
  • Save zjhiphop/570a135e1dc52d5b34bd to your computer and use it in GitHub Desktop.
Save zjhiphop/570a135e1dc52d5b34bd to your computer and use it in GitHub Desktop.
library(ggplot2)
library(scales)
# load data:
log <- data.frame(Date = c("2013/05/25","2013/05/28","2013/05/31","2013/06/01","2013/06/02","2013/06/05","2013/06/07"),
Quantity = c(9,1,15,4,5,17,18))
log
str(log)
# convert date variable from factor to date format:
log$Date <- as.Date(log$Date,
"%Y/%m/%d") # tabulate all the options here
str(log)
# create variables of the week and month of each observation:
log$Month <- as.Date(cut(log$Date,
breaks = "month"))
log$Week <- as.Date(cut(log$Date,
breaks = "week",
start.on.monday = FALSE)) # changes weekly break point to Sunday
log
# graph by month:
ggplot(data = log,
aes(Month, Quantity)) +
stat_summary(fun.y = sum, # adds up all observations for the month
geom = "bar") + # or "line"
scale_x_date(
labels = date_format("%Y-%m"),
breaks = "1 month") # custom x-axis labels
# graph by week:
ggplot(data = log,
aes(Week, Quantity)) +
stat_summary(fun.y = sum, # adds up all observations for the week
geom = "bar") + # or "line"
scale_x_date(
labels = date_format("%Y-%m-%d"),
breaks = "1 week") # custom x-axis labels
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment