How to add legend in ggplot for each facet?

I have the following data.frame. I want to draw a ggplot having three legend tables, the common legend for size, and two separate legends for var = "A" and var = "B" taking the values from 'value' column, these two legends should be placed next to each related graph. So far I have tried this which is creating a single legend for 'var' column.

df <- data.frame(var = c("A","A","B","B"),
 value = c("u","v","x","y"),
 point = 1:4,
 size = 1:4)

ggplot() +geom_point(data = df, 
 aes(x = point,y = NA,
 color = value,size = size)) + 
 facet_grid(rows = vars(var))

Thanks.

Edit:
I have attached the expected output as suggested by @Tung
enter image description here

edited Nov 12 '18 at 8:54

asked Nov 12 '18 at 8:28

Raja Saha

1146

1

Can you draw your expected output in Paint/Word/PPT and post it here?

– Tung
Nov 12 '18 at 8:33

Hi @Tung please see the attached expected plot.

– Raja Saha
Nov 12 '18 at 8:57

add a comment |

df <- data.frame(var = c("A","A","B","B"),
 value = c("u","v","x","y"),
 point = 1:4,
 size = 1:4)

ggplot() +geom_point(data = df, 
 aes(x = point,y = NA,
 color = value,size = size)) + 
 facet_grid(rows = vars(var))

Thanks.

Edit:
I have attached the expected output as suggested by @Tung
enter image description here

edited Nov 12 '18 at 8:54

asked Nov 12 '18 at 8:28

Raja Saha

1146

1

Can you draw your expected output in Paint/Word/PPT and post it here?

– Tung
Nov 12 '18 at 8:33

Hi @Tung please see the attached expected plot.

– Raja Saha
Nov 12 '18 at 8:57

add a comment |

df <- data.frame(var = c("A","A","B","B"),
 value = c("u","v","x","y"),
 point = 1:4,
 size = 1:4)

ggplot() +geom_point(data = df, 
 aes(x = point,y = NA,
 color = value,size = size)) + 
 facet_grid(rows = vars(var))

Thanks.

Edit:
I have attached the expected output as suggested by @Tung
enter image description here

edited Nov 12 '18 at 8:54

asked Nov 12 '18 at 8:28

Raja Saha

1146

df <- data.frame(var = c("A","A","B","B"),
 value = c("u","v","x","y"),
 point = 1:4,
 size = 1:4)

ggplot() +geom_point(data = df, 
 aes(x = point,y = NA,
 color = value,size = size)) + 
 facet_grid(rows = vars(var))

Thanks.

Edit:
I have attached the expected output as suggested by @Tung
enter image description here

r ggplot2

edited Nov 12 '18 at 8:54

asked Nov 12 '18 at 8:28

Raja Saha

1146

edited Nov 12 '18 at 8:54

asked Nov 12 '18 at 8:28

Raja Saha

1146

edited Nov 12 '18 at 8:54

asked Nov 12 '18 at 8:28

Raja Saha

1146

asked Nov 12 '18 at 8:28

Raja Saha

1146

asked Nov 12 '18 at 8:28

Raja Saha

1146

1

Can you draw your expected output in Paint/Word/PPT and post it here?

– Tung
Nov 12 '18 at 8:33

Hi @Tung please see the attached expected plot.

– Raja Saha
Nov 12 '18 at 8:57

add a comment |

1

Can you draw your expected output in Paint/Word/PPT and post it here?

– Tung
Nov 12 '18 at 8:33

Hi @Tung please see the attached expected plot.

– Raja Saha
Nov 12 '18 at 8:57

Can you draw your expected output in Paint/Word/PPT and post it here?

– Tung
Nov 12 '18 at 8:33

Hi @Tung please see the attached expected plot.

– Raja Saha
Nov 12 '18 at 8:57

add a comment |

1 Answer
1

active

oldest

votes

What about something like this:

library(gridExtra)
library(ggplot2)
# split data for each "facet"
df <- split(df,f = df$var)

# plot for the first "facet"
p1 <- ggplot(df$A,aes(x = point,y = NA,colour = value, size = size)) + 
 geom_point() + 
 facet_wrap(~var, ncol=1) +
 # here you set the axis
 scale_x_continuous(limits = c(0.5, 4.5))

# do it for each "facet"
p2 <- p1 %+% df$B

# here the plot
grid.arrange(p1,p2)

enter image description here

answered Nov 12 '18 at 9:57

s_t

3,47121031

add a comment |

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1 Answer
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active

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1 Answer
1

active

oldest

votes

What about something like this:

library(gridExtra)
library(ggplot2)
# split data for each "facet"
df <- split(df,f = df$var)

# plot for the first "facet"
p1 <- ggplot(df$A,aes(x = point,y = NA,colour = value, size = size)) + 
 geom_point() + 
 facet_wrap(~var, ncol=1) +
 # here you set the axis
 scale_x_continuous(limits = c(0.5, 4.5))

# do it for each "facet"
p2 <- p1 %+% df$B

# here the plot
grid.arrange(p1,p2)

enter image description here

answered Nov 12 '18 at 9:57

s_t

3,47121031

add a comment |

What about something like this:

library(gridExtra)
library(ggplot2)
# split data for each "facet"
df <- split(df,f = df$var)

# plot for the first "facet"
p1 <- ggplot(df$A,aes(x = point,y = NA,colour = value, size = size)) + 
 geom_point() + 
 facet_wrap(~var, ncol=1) +
 # here you set the axis
 scale_x_continuous(limits = c(0.5, 4.5))

# do it for each "facet"
p2 <- p1 %+% df$B

# here the plot
grid.arrange(p1,p2)

enter image description here

answered Nov 12 '18 at 9:57

s_t

3,47121031

add a comment |

What about something like this:

library(gridExtra)
library(ggplot2)
# split data for each "facet"
df <- split(df,f = df$var)

# plot for the first "facet"
p1 <- ggplot(df$A,aes(x = point,y = NA,colour = value, size = size)) + 
 geom_point() + 
 facet_wrap(~var, ncol=1) +
 # here you set the axis
 scale_x_continuous(limits = c(0.5, 4.5))

# do it for each "facet"
p2 <- p1 %+% df$B

# here the plot
grid.arrange(p1,p2)

enter image description here

answered Nov 12 '18 at 9:57

s_t

3,47121031

What about something like this:

library(gridExtra)
library(ggplot2)
# split data for each "facet"
df <- split(df,f = df$var)

# plot for the first "facet"
p1 <- ggplot(df$A,aes(x = point,y = NA,colour = value, size = size)) + 
 geom_point() + 
 facet_wrap(~var, ncol=1) +
 # here you set the axis
 scale_x_continuous(limits = c(0.5, 4.5))

# do it for each "facet"
p2 <- p1 %+% df$B

# here the plot
grid.arrange(p1,p2)

enter image description here

answered Nov 12 '18 at 9:57

s_t

3,47121031

answered Nov 12 '18 at 9:57

s_t

3,47121031

answered Nov 12 '18 at 9:57

s_t

3,47121031

answered Nov 12 '18 at 9:57

s_t

3,47121031

add a comment |

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