ploting a graph using ggplot plotting system

Question

I have the following data frame

   year   type  Measure
1  1989    NP   2107
2  2002    NP   109
3  2003    NP   159
4  2008    NP   137
5  1989    NR   522
6  2002    NR   240
7  2003    NR   248
8  2008    NR   55
9  1989    OR   346
10 2002    OR   134
11 2003    OR   130
12 2008    OR   88
13 1989    P    296
14 2002    P    569
15 2003    P    1202
16 2008    P    34

I want to plot Measure Vs Year plot separately for each type using the ggplot2 system. Can someone help me in getting the plot. I want a single plot with Measure Vs Year subplots for each type

The output of packageDescription("ggplot2") :

packageDescription("ggplot2")
Package: ggplot2
Type: Package
Title: An Implementation of the Grammar of Graphics
Version: 1.0.1
Authors@R: c( person("Hadley", "Wickham", role = c("aut", "cre"), email
        = "[email protected]"), person("Winston", "Chang", role =
        "aut", email = "[email protected]") )
Description: An implementation of the grammar of graphics in R. It
        combines the advantages of both base and lattice graphics:
        conditioning and shared axes are handled automatically, and you
        can still build up a plot step by step from multiple data
        sources. It also implements a sophisticated multidimensional
        conditioning system and a consistent interface to map data to
        aesthetic attributes. See http://ggplot2.org for more
        information, documentation and examples.
Depends: R (>= 2.14), stats, methods
Imports: plyr (>= 1.7.1), digest, grid, gtable (>= 0.1.1), reshape2,
        scales (>= 0.2.3), proto, MASS
Suggests: quantreg, Hmisc, mapproj, maps, hexbin, maptools, multcomp,
        nlme, testthat, knitr, mgcv
VignetteBuilder: knitr
Enhances: sp
License: GPL-2
URL: http://ggplot2.org, https://github.com/hadley/ggplot2
BugReports: https://github.com/hadley/ggplot2/issues
LazyData: true
Collate: 'aaa-.r' 'aaa-constants.r' 'aes-calculated.r' .....
Packaged: 2015-03-16 20:29:42 UTC; winston
Author: Hadley Wickham [aut, cre], Winston Chang [aut]
Maintainer: Hadley Wickham <[email protected]>
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-03-17 17:49:38
Built: R 3.2.1; ; 2015-07-19 04:13:46 UTC; unix

-- File: /home/R/i686-pc-linux-gnu-library/3.2/ggplot2/Meta/package.rds

output of dput(head(main_data))

dput(head(main_data))
structure(list(Measure = c(6.532, 
78.88, 0.92, 10.376, 10.859, 83.025), type = c("P", "P", 
"P", "P", "P", "P"), year = c(1989L, 1989L, 1989L, 
1989L, 1989L, 1989L)), .Names = c("Measure", "type", "year"), row.names = c("114288", "114296", 
"114300", "114308", "114325", "114329"), class = "data.frame")

zero323 · Accepted Answer · 2015-07-25 16:41:05Z

1

Something like this?

df <- structure(list(year = c(1989L, 2002L, 2003L, 2008L, 1989L, 2002L, 
    2003L, 2008L, 1989L, 2002L, 2003L, 2008L, 1989L, 2002L, 2003L, 
    2008L), type = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 
    3L, 3L, 3L, 4L, 4L, 4L, 4L), .Label = c("    NP  ", "    NR  ", 
    "    OR  ", "    P   "), class = "factor"), Measure = c(2107L, 
    109L, 159L, 137L, 522L, 240L, 248L, 55L, 346L, 134L, 130L, 88L, 
    296L, 569L, 1202L, 34L)), .Names = c("year", "type", "Measure"
    ), class = "data.frame", row.names = c(NA, -16L))


ggplot(df, aes(x=year, y=Measure)) + 
    geom_bar(stat='identity') + 
    facet_grid(. ~ type)

edited Jul 25, 2015 at 16:41

answered Jul 25, 2015 at 16:26

zero323

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12 Comments

Minions Over a year ago

When I try there is no plot as output. It is simply exits from the code. Why is that happening to me?

Minions Over a year ago

plotdata <- aggregate(Measure ~ year + type, main_Data, FUN=sum). When I did this I got plot data to be the data frame that I posted in the question then as you mentioned I did ggplot(plotdata, aes(x=year, y=Measure)) + geom_bar(stat='identity') + facet_grid(. ~ type). But there is no plot as output. why is this happening

zero323 Over a year ago

Could you post your data as a dput output and a result of packageDescription("ggplot2")?

Minions Over a year ago

The data has thousands of rows and it cant fit in one go. I have posted the output of packageDescription

zero323 Over a year ago

I didn't mean all :) dput(head(df)) is usually enough.

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