Environment: Win 7 HP, R v2.15.1
What I want to achieve:
- Plot y (numeric) vs x (date) with
- labels month abbreviation, sorted mon + year, las2 vertically.
- colors filled per year
- facet grid by years
I tried different approaches after reading different topics in this forum, but could not get what I need. Help is needed. Attach sample data and results.
MySample Data
x <- c("04-01-10","05-01-10","06-01-10","07-01-10","08-01-10","09-01-10","10-01-10","11-01-10","12-01-10","01-01-11","02-01-11","03-01-11","04-01-11","05-01-11","06-01-11","07-01-11","08-01-11","09-01-11","10-01-11","11-01-11","12-01-11","01-01-12","02-01-12","03-01-12","04-01-12","05-01-12","06-01-12")
y <- c(120,210,130,160,190,210,80,70,110,120,140,160,130,200,110,180,210,200,90,60,100,100,120,170,100,180,120)
x - date (symbol) in the format mm-dd-yy tz: IST (Calcutta / Asia) data has only one value y per month, which is located at the beginning of the month.
Convert to data frame
MySample <- data.frame(x)
MySample$y <- y
load required libraries
require(lubridate)
require(ggplot2)
MySample Database
1) Graph x vs y
ggplot(MySample, aes(MySample$x, MySample$y)) +
geom_bar(y=MySample$y,stat="identity")
Give me the baseline plot results
2) Graph x vs y + fill = year
ggplot(MySample, aes(MySample$x, MySample$y, fill=year(MySample$x))) +
geom_bar(y=MySample$y,stat="identity")
, 5 2010,2010,5,2011,2011,5,2012
, .
3) x vs y + fill = + facet_grid ()
ggplot(MySample, aes(x, y, fill=year(x))) +
geom_bar(y=MySample$y,stat="identity") +
facet_grid(. ~ year(MySample$x))
Get: layout_base (, cols, drop = drop): ,
4) x vs y + fill = year + facet_grid (year) + label-month (abbr)
ggplot(MySample, aes(x, y, fill=year(x))) +
geom_bar(y=MySample$y,stat="identity") +
scale_x_date(labels=month(MySample$x,label=TRUE,abbr=TRUE))
: scale_labels.continuous(, ):
.
:
- 3 - 2010,2011,2012
- xlabels -% b% y format; ; las2 ()
- facet_grid