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Sigrid

2011-Nov-08 19:22 UTC

[R] nesting scale_manual caracteristics in ggplot

Hi there,
I am having a little problem with combining three scale_manual commands in a
facet plot.  I am not able to combine the three different characteristics,
instead ending up with three different descriptions next to the graph for
the same geom.  I would like to see two separate labels (not three); one
describing lines 1-7 and the other 8-14. For each of the treatments (A-B) I
want a combination of color, line type and symbol.  How do I do this?

Here are my codes (Feel free to modify the example to make it easier to work
with. I was not able to do this while keeping the problem I wanted help
with)
df <-structure(list(year = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L), treatment structure(c(1L, 
1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 
6L, 7L, 7L, 7L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 
5L, 5L, 5L, 6L, 6L, 6L, 7L, 7L, 7L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 
3L, 3L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 7L, 7L, 7L, 1L, 1L, 
1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 
7L, 7L, 7L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 5L, 
5L, 5L, 6L, 6L, 6L, 7L, 7L, 7L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 
3L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 7L, 7L, 7L, 1L, 1L, 2L, 
2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 7L, 7L, 
7L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 5L, 5L, 5L, 
6L, 6L, 6L, 7L, 7L, 7L), .Label = c("A", "B", "C",
"D", "E",
"F", "G"), class = "factor"), total = c(135L,
118L, 121L, 64L,
53L, 49L, 178L, 123L, 128L, 127L, 62L, 129L, 126L, 99L, 183L, 
45L, 57L, 45L, 72L, 30L, 71L, 123L, 89L, 102L, 60L, 44L, 59L, 
124L, 145L, 126L, 103L, 67L, 97L, 66L, 76L, 108L, 36L, 48L, 41L, 
69L, 47L, 57L, 167L, 136L, 176L, 85L, 36L, 82L, 222L, 149L, 171L, 
145L, 122L, 192L, 136L, 164L, 154L, 46L, 57L, 57L, 70L, 55L, 
102L, 111L, 152L, 204L, 41L, 46L, 103L, 156L, 148L, 155L, 103L, 
124L, 176L, 111L, 142L, 187L, 43L, 52L, 75L, 64L, 91L, 78L, 196L, 
314L, 265L, 44L, 39L, 98L, 197L, 273L, 274L, 89L, 91L, 74L, 91L, 
112L, 98L, 140L, 90L, 121L, 120L, 161L, 83L, 230L, 266L, 282L, 
35L, 53L, 57L, 315L, 332L, 202L, 90L, 79L, 89L, 67L, 116L, 109L, 
44L, 68L, 75L, 29L, 52L, 52L, 253L, 203L, 87L, 105L, 234L, 152L, 
247L, 243L, 144L, 167L, 165L, 95L, 300L, 128L, 125L, 84L, 183L, 
88L, 153L, 185L, 175L, 226L, 216L, 118L, 118L, 94L, 224L, 259L, 
176L, 175L, 147L, 197L, 141L, 176L, 187L, 87L, 92L, 148L, 86L, 
139L, 122L), country = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L 
), .Label = c("high", "low"), class = "factor")),
.Names = c("year",
"treatment", "total", "country"), class =
"data.frame", row.names = c(NA,
-167L))


lines <- structure(list(`Line #` = 1:14, country = structure(c(2L, 2L, 2L,
2L,2L,2L,2L,1L, 1L,1L,1L,1L,1L,1L), .Label = c("high",
"low"), class "factor"),treatment = structure(c(1L, 2L, 3L,
4L, 5L, 6L, 7L,1L, 2L,
3L,4L,5L,6L,7L), .Label = c("A", "B",
"C","D", "E",
"F","G","H" ), class "factor"),
Intercept = c(81.47, 31.809,69.892,82.059,106.392,45.059,38.809,
67.024, 17.357, 105.107,79.191,91.357,5.691,24.357), Slope = c(47.267,
20.234,33.717,14.667,13.434,25.817,21.967, 47.267, 20.234,
33.717,14.667,13.434,25.817,21.967)), .Names = c("Line #",
"country",
"treatment", "Intercept", "Slope"), class =
"data.frame", row.names = c(NA,
-14L))

ggplot(data = df, aes(x = year, y = total, colour = treatment,
linetype=treatment)) + 
        geom_point(aes(shape = treatment)) +
      facet_wrap(~country) + 
       
scale_colour_manual(breaks=c('A','B','C','D','E','F','G'),
values=c('A'='black','B'='black',
'C'='grey','D'='grey',
'E'='red','F'='grey',
'G'='red'),  labels=c('A: Line 1','B: Line
2','C:
Line3','D: Line 4', 
                        'E: Line 5 ','F:Line 6','G:Line
7'))+
scale_linetype_manual(breaks=c('A','B','C','D','E','F','G'),
values=c('A'='solid','B'='dotted',
'C'='solid','D'='dashed',
'E'='dashed','F'='dotted',
'G'='dotted'))+
       
scale_shape_manual(breaks=c('A','B','C','D','E','F','G'),
                labels=c('A: Line 8','B: Line 9','C: Line
10','D: Line 11',
                        'E: Line 12 ','F:Line 13','G:Line
14'),
                values = c(0, 1, 2, 3, 4, 5, 6)) +

        theme_bw()+ geom_abline(aes(intercept = Intercept, slope = Slope,
colour = treatment, linetype=treatment), data = lines) 


Thank you,
Sigrid


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Dennis Murphy

2011-Nov-08 21:08 UTC

head link

[R] nesting scale_manual caracteristics in ggplot

Hi:

The problem is that you use different sets of labels in each
scale_*_manual. To get all of the scales to merge into one, you need
to have the same title, same breaks and same labels for the legend.
This gets you a single legend:

ggplot(data = df, aes(x = year, y = total, colour = treatment,
                      linetype=treatment)) +
    geom_point(aes(shape = treatment)) +
    facet_wrap(~country) +
   
scale_colour_manual(breaks=c('A','B','C','D','E','F','G'),
            values=c('A'='black','B'='black',
'C'='grey',
                     
'D'='grey','E'='red','F'='grey',
'G'='red'),
            labels=c('A: Line 1','B: Line 2','C:
Line3','D: Line 4',
                     'E: Line 5','F: Line 6','G: Line
7')) +
   
scale_linetype_manual(breaks=c('A','B','C','D','E','F','G'),
            values=c('A'='solid','B'='dotted',
'C'='solid','D'='dashed',
                     'E'='dashed','F'='dotted',
'G'='dotted'),
            labels=c('A: Line 1','B: Line 2','C:
Line3','D: Line 4',
                     'E: Line 5','F: Line 6','G: Line
7')) +
   
scale_shape_manual(breaks=c('A','B','C','D','E','F','G'),
            labels=c('A: Line 1','B: Line 2','C:
Line3','D: Line 4',
                     'E: Line 5','F: Line 6','G: Line
7'),
            values = c(0, 1, 2, 3, 4, 5, 6)) +
    theme_bw() +
    geom_abline(aes(intercept = Intercept, slope = Slope,
                    colour = treatment, linetype=treatment),
                data = lines)

In your original, you had different line numbers as labels in
scale_colour_manual() and scale_shape_manual(). If you want to
maintain that, then you'll have to have separate legends for color and
shape.

HTH,
Dennis

On Tue, Nov 8, 2011 at 11:22 AM, Sigrid <s.stenerud at gmail.com>
wrote:> Hi there,
> I am having a little problem with combining three scale_manual commands in
a
> facet plot. ?I am not able to combine the three different characteristics,
> instead ending up with three different descriptions next to the graph for
> the same geom. ?I would like to see two separate labels (not three); one
> describing lines 1-7 and the other 8-14. For each of the treatments (A-B) I
> want a combination of color, line type and symbol. ?How do I do this?
>
> Here are my codes (Feel free to modify the example to make it easier to
work
> with. I was not able to do this while keeping the problem I wanted help
> with)
> df <-structure(list(year = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
> 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
> 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L,
> 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
> 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
> 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
> 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
> 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L), treatment >
structure(c(1L,
> 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L,
> 6L, 7L, 7L, 7L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L,
> 5L, 5L, 5L, 6L, 6L, 6L, 7L, 7L, 7L, 1L, 1L, 1L, 2L, 2L, 2L, 3L,
> 3L, 3L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 7L, 7L, 7L, 1L, 1L,
> 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L,
> 7L, 7L, 7L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 5L,
> 5L, 5L, 6L, 6L, 6L, 7L, 7L, 7L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L,
> 3L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 7L, 7L, 7L, 1L, 1L, 2L,
> 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 7L, 7L,
> 7L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 5L, 5L, 5L,
> 6L, 6L, 6L, 7L, 7L, 7L), .Label = c("A", "B",
"C", "D", "E",
> "F", "G"), class = "factor"), total = c(135L,
118L, 121L, 64L,
> 53L, 49L, 178L, 123L, 128L, 127L, 62L, 129L, 126L, 99L, 183L,
> 45L, 57L, 45L, 72L, 30L, 71L, 123L, 89L, 102L, 60L, 44L, 59L,
> 124L, 145L, 126L, 103L, 67L, 97L, 66L, 76L, 108L, 36L, 48L, 41L,
> 69L, 47L, 57L, 167L, 136L, 176L, 85L, 36L, 82L, 222L, 149L, 171L,
> 145L, 122L, 192L, 136L, 164L, 154L, 46L, 57L, 57L, 70L, 55L,
> 102L, 111L, 152L, 204L, 41L, 46L, 103L, 156L, 148L, 155L, 103L,
> 124L, 176L, 111L, 142L, 187L, 43L, 52L, 75L, 64L, 91L, 78L, 196L,
> 314L, 265L, 44L, 39L, 98L, 197L, 273L, 274L, 89L, 91L, 74L, 91L,
> 112L, 98L, 140L, 90L, 121L, 120L, 161L, 83L, 230L, 266L, 282L,
> 35L, 53L, 57L, 315L, 332L, 202L, 90L, 79L, 89L, 67L, 116L, 109L,
> 44L, 68L, 75L, 29L, 52L, 52L, 253L, 203L, 87L, 105L, 234L, 152L,
> 247L, 243L, 144L, 167L, 165L, 95L, 300L, 128L, 125L, 84L, 183L,
> 88L, 153L, 185L, 175L, 226L, 216L, 118L, 118L, 94L, 224L, 259L,
> 176L, 175L, 147L, 197L, 141L, 176L, 187L, 87L, 92L, 148L, 86L,
> 139L, 122L), country = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L,
> 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,
> 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
> 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L,
> 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
> 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
> 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L,
> 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L
> ), .Label = c("high", "low"), class =
"factor")), .Names = c("year",
> "treatment", "total", "country"), class =
"data.frame", row.names = c(NA,
> -167L))
>
>
> lines <- structure(list(`Line #` = 1:14, country = structure(c(2L, 2L,
2L,
> 2L,2L,2L,2L,1L, 1L,1L,1L,1L,1L,1L), .Label = c("high",
"low"), class > "factor"),treatment = structure(c(1L, 2L,
3L, 4L, 5L, 6L, 7L,1L, 2L,
> 3L,4L,5L,6L,7L), .Label = c("A", "B",
"C","D", "E",
"F","G","H" ), class > "factor"),
Intercept = c(81.47, 31.809,69.892,82.059,106.392,45.059,38.809,
> 67.024, 17.357, 105.107,79.191,91.357,5.691,24.357), Slope = c(47.267,
> 20.234,33.717,14.667,13.434,25.817,21.967, 47.267, 20.234,
> 33.717,14.667,13.434,25.817,21.967)), .Names = c("Line #",
"country",
> "treatment", "Intercept", "Slope"), class =
"data.frame", row.names = c(NA,
> -14L))
>
> ggplot(data = df, aes(x = year, y = total, colour = treatment,
> linetype=treatment)) +
> ? ? ? ?geom_point(aes(shape = treatment)) +
> ? ? ?facet_wrap(~country) +
> ? ? ?
?scale_colour_manual(breaks=c('A','B','C','D','E','F','G'),
> values=c('A'='black','B'='black',
'C'='grey','D'='grey',
> 'E'='red','F'='grey',
'G'='red'), ?labels=c('A: Line 1','B: Line
2','C:
> Line3','D: Line 4',
> ? ? ? ? ? ? ? ? ? ? ? ?'E: Line 5 ','F:Line 6','G:Line
7'))+
>
scale_linetype_manual(breaks=c('A','B','C','D','E','F','G'),
> values=c('A'='solid','B'='dotted',
'C'='solid','D'='dashed',
> 'E'='dashed','F'='dotted',
'G'='dotted'))+
> ? ? ?
?scale_shape_manual(breaks=c('A','B','C','D','E','F','G'),
> ? ? ? ? ? ? ? ?labels=c('A: Line 8','B: Line 9','C:
Line 10','D: Line 11',
> ? ? ? ? ? ? ? ? ? ? ? ?'E: Line 12 ','F:Line
13','G:Line 14'),
> ? ? ? ? ? ? ? ?values = c(0, 1, 2, 3, 4, 5, 6)) +
>
> ? ? ? ?theme_bw()+ geom_abline(aes(intercept = Intercept, slope = Slope,
> colour = treatment, linetype=treatment), data = lines)
>
>
> Thank you,
> Sigrid
>
>
> --
> View this message in context:
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> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

Sigrid

2011-Nov-08 21:20 UTC

head link

[R] nesting scale_manual caracteristics in ggplot

Hi Dennis,

Thank you, it looks much better now the three characteristics are combined
in the label. However, I would like to keep two different sets of labels on
the side as I want to describe lines for each facet (high and low). Do you
think this is possible, without breaking up the characteristics again?

Cheers


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