ggplot2: increasing space between categorical axis ticks with geom_point
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I have a geom_point plot that with a large number of categorical variables, and a size parameter mapped to a continuous variable. When I make the plot, the categorical variables are too close together, and the large points from within each overlap. Is there any way to give a little breathing room to the axis so that this doesn't happen? I'm aware that an alternative solution is simply to use scale_size_area(max_size = 3) to narrow the range of point sizes, but I'd prefer not to do this as it makes it too difficult to tell them apart.
Here's the code:
plot <- ggplot(allcazfull, aes(x = Family, y = ifelse(Percentage==0,NA, Percentage), fill = Treatment, size = ifelse(Number == 0, NA,Number))) +
facet_wrap(~ Pathogen, scales = "free_x") +
geom_point(shape = 21) +
scale_fill_manual(values = alpha(c("#98fb98","#f77e17","#0d5a0d","#8d0707"),.6)) +
theme_bw() +
theme(panel.grid.major.x = element_blank(),
panel.grid.minor.x = element_blank(),
aspect.ratio = 4/1,
strip.background = element_rect(fill="white", linetype = "blank"),
strip.text = element_blank()) +
scale_x_discrete(limits = rev(levels(allcazfull$Family))) +
xlab("") +
ylab("") +
guides(fill = FALSE, size = FALSE) +
coord_flip()
plot
And here's the resulting figure:
r ggplot2
asked Nov 16 '18 at 23:09
TactfulCactusTactfulCactus
233
add a comment |
I have a geom_point plot that with a large number of categorical variables, and a size parameter mapped to a continuous variable. When I make the plot, the categorical variables are too close together, and the large points from within each overlap. Is there any way to give a little breathing room to the axis so that this doesn't happen? I'm aware that an alternative solution is simply to use scale_size_area(max_size = 3) to narrow the range of point sizes, but I'd prefer not to do this as it makes it too difficult to tell them apart.
Here's the code:
plot <- ggplot(allcazfull, aes(x = Family, y = ifelse(Percentage==0,NA, Percentage), fill = Treatment, size = ifelse(Number == 0, NA,Number))) +
facet_wrap(~ Pathogen, scales = "free_x") +
geom_point(shape = 21) +
scale_fill_manual(values = alpha(c("#98fb98","#f77e17","#0d5a0d","#8d0707"),.6)) +
theme_bw() +
theme(panel.grid.major.x = element_blank(),
panel.grid.minor.x = element_blank(),
aspect.ratio = 4/1,
strip.background = element_rect(fill="white", linetype = "blank"),
strip.text = element_blank()) +
scale_x_discrete(limits = rev(levels(allcazfull$Family))) +
xlab("") +
ylab("") +
guides(fill = FALSE, size = FALSE) +
coord_flip()
plot
And here's the resulting figure:
r ggplot2
asked Nov 16 '18 at 23:09
TactfulCactusTactfulCactus
233
4
It may sound silly, but have you tried stretching the plot panel in RStudio horizontally?
– 12b345b6b78
Nov 16 '18 at 23:11
holy moly I was not aware that this was how things worked
– TactfulCactus
Nov 16 '18 at 23:19
2
@TactfulCactus: and make sure when you save your plot withggsave, choose the rightwidth,heightanddpiparameters
– Tung
Nov 17 '18 at 0:00
1
Try addingposition = position_dodge(width)ingeom_point()and tweak the width value until satisfied with the look
– passiflora
Nov 17 '18 at 13:47
add a comment |
I have a geom_point plot that with a large number of categorical variables, and a size parameter mapped to a continuous variable. When I make the plot, the categorical variables are too close together, and the large points from within each overlap. Is there any way to give a little breathing room to the axis so that this doesn't happen? I'm aware that an alternative solution is simply to use scale_size_area(max_size = 3) to narrow the range of point sizes, but I'd prefer not to do this as it makes it too difficult to tell them apart.
Here's the code:
plot <- ggplot(allcazfull, aes(x = Family, y = ifelse(Percentage==0,NA, Percentage), fill = Treatment, size = ifelse(Number == 0, NA,Number))) +
facet_wrap(~ Pathogen, scales = "free_x") +
geom_point(shape = 21) +
scale_fill_manual(values = alpha(c("#98fb98","#f77e17","#0d5a0d","#8d0707"),.6)) +
theme_bw() +
theme(panel.grid.major.x = element_blank(),
panel.grid.minor.x = element_blank(),
aspect.ratio = 4/1,
strip.background = element_rect(fill="white", linetype = "blank"),
strip.text = element_blank()) +
scale_x_discrete(limits = rev(levels(allcazfull$Family))) +
xlab("") +
ylab("") +
guides(fill = FALSE, size = FALSE) +
coord_flip()
plot
And here's the resulting figure:
r ggplot2
asked Nov 16 '18 at 23:09
TactfulCactusTactfulCactus
233
I have a geom_point plot that with a large number of categorical variables, and a size parameter mapped to a continuous variable. When I make the plot, the categorical variables are too close together, and the large points from within each overlap. Is there any way to give a little breathing room to the axis so that this doesn't happen? I'm aware that an alternative solution is simply to use scale_size_area(max_size = 3) to narrow the range of point sizes, but I'd prefer not to do this as it makes it too difficult to tell them apart.
Here's the code:
plot <- ggplot(allcazfull, aes(x = Family, y = ifelse(Percentage==0,NA, Percentage), fill = Treatment, size = ifelse(Number == 0, NA,Number))) +
facet_wrap(~ Pathogen, scales = "free_x") +
geom_point(shape = 21) +
scale_fill_manual(values = alpha(c("#98fb98","#f77e17","#0d5a0d","#8d0707"),.6)) +
theme_bw() +
theme(panel.grid.major.x = element_blank(),
panel.grid.minor.x = element_blank(),
aspect.ratio = 4/1,
strip.background = element_rect(fill="white", linetype = "blank"),
strip.text = element_blank()) +
scale_x_discrete(limits = rev(levels(allcazfull$Family))) +
xlab("") +
ylab("") +
guides(fill = FALSE, size = FALSE) +
coord_flip()
plot
And here's the resulting figure:
r ggplot2
r ggplot2
asked Nov 16 '18 at 23:09
TactfulCactusTactfulCactus
233
asked Nov 16 '18 at 23:09
TactfulCactusTactfulCactus
233
asked Nov 16 '18 at 23:09
TactfulCactusTactfulCactus
233
asked Nov 16 '18 at 23:09
TactfulCactusTactfulCactus
233
asked Nov 16 '18 at 23:09
TactfulCactusTactfulCactus
233
233
4
It may sound silly, but have you tried stretching the plot panel in RStudio horizontally?
– 12b345b6b78
Nov 16 '18 at 23:11
holy moly I was not aware that this was how things worked
– TactfulCactus
Nov 16 '18 at 23:19
2
@TactfulCactus: and make sure when you save your plot withggsave, choose the rightwidth,heightanddpiparameters
– Tung
Nov 17 '18 at 0:00
1
Try addingposition = position_dodge(width)ingeom_point()and tweak the width value until satisfied with the look
– passiflora
Nov 17 '18 at 13:47
add a comment |
4
It may sound silly, but have you tried stretching the plot panel in RStudio horizontally?
– 12b345b6b78
Nov 16 '18 at 23:11
holy moly I was not aware that this was how things worked
– TactfulCactus
Nov 16 '18 at 23:19
2
@TactfulCactus: and make sure when you save your plot withggsave, choose the rightwidth,heightanddpiparameters
– Tung
Nov 17 '18 at 0:00
1
Try addingposition = position_dodge(width)ingeom_point()and tweak the width value until satisfied with the look
– passiflora
Nov 17 '18 at 13:47
4
4
It may sound silly, but have you tried stretching the plot panel in RStudio horizontally?
– 12b345b6b78
Nov 16 '18 at 23:11
It may sound silly, but have you tried stretching the plot panel in RStudio horizontally?
– 12b345b6b78
Nov 16 '18 at 23:11
holy moly I was not aware that this was how things worked
– TactfulCactus
Nov 16 '18 at 23:19
holy moly I was not aware that this was how things worked
– TactfulCactus
Nov 16 '18 at 23:19
2
2
@TactfulCactus: and make sure when you save your plot with
ggsave, choose the right width, height and dpi parameters– Tung
Nov 17 '18 at 0:00
@TactfulCactus: and make sure when you save your plot with
ggsave, choose the right width, height and dpi parameters– Tung
Nov 17 '18 at 0:00
1
1
Try adding
position = position_dodge(width) in geom_point() and tweak the width value until satisfied with the look– passiflora
Nov 17 '18 at 13:47
Try adding
position = position_dodge(width) in geom_point() and tweak the width value until satisfied with the look– passiflora
Nov 17 '18 at 13:47
add a comment |
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4
It may sound silly, but have you tried stretching the plot panel in RStudio horizontally?
– 12b345b6b78
Nov 16 '18 at 23:11
holy moly I was not aware that this was how things worked
– TactfulCactus
Nov 16 '18 at 23:19
2
@TactfulCactus: and make sure when you save your plot with
ggsave, choose the rightwidth,heightanddpiparameters– Tung
Nov 17 '18 at 0:00
1
Try adding
position = position_dodge(width)ingeom_point()and tweak the width value until satisfied with the look– passiflora
Nov 17 '18 at 13:47