Repel geom label and text in ggplot. And ordering geom points based on size
I have 2 data frames such as these:
df1 <- data.frame(
party = c("Blue Party", "Red Party"),
dim1 = c(0.03, -0.04),
dim2 = c(-0.05, 0.02),
sz = c(34, 42)
)
df2 <- data.frame(
var = c("Economic", "Gov trust", "Inst trust", "Nationalism", "Religiosity"),
dim1 = c(0.1, -0.5, 0, 0.6, 0.4),
dim2 = c(0.1, 0.6, 0, 0, 0.3)
)
I want to plot the parties from df1 as points defined by size and include arrows based on df2 on the same graph. I've used ggplot to do this:
ggplot(df1, aes(x = dim1, y = dim2, color = party)) +
geom_point(size = df1$sz) +
scale_size_area() +
scale_x_continuous(limits = c(-1.5, 1.5)) +
scale_y_continuous(limits = c(-1.5, 1.5)) +
geom_label_repel(aes(label = party),
box.padding = 1,
point.padding = 1.5,
force = 1) +
geom_segment(aes(xend=0, yend=0, x=dim1, y=dim2), data=df2,
arrow=arrow(length=unit(0.20,"cm"), ends="first", type = "closed"), color="black") +
geom_text_repel(aes(x=dim1, y=dim2, label=var),
data = df2, color = "black", size = 3, force = 1)
Resulting in this:
The functions geom_label_repel and geom_text_repel prevent the party labels and the texts from overlapping, but how can I repel the labels and texts from each other?
My second problem is that I want to order the points, with the smallest in the front and the largest at the back. How could this be done?
Appreciate the help!
r ggplot2 ggrepel
asked Nov 22 '18 at 11:32
Marco Pastor MayoMarco Pastor Mayo
766
add a comment |
I have 2 data frames such as these:
df1 <- data.frame(
party = c("Blue Party", "Red Party"),
dim1 = c(0.03, -0.04),
dim2 = c(-0.05, 0.02),
sz = c(34, 42)
)
df2 <- data.frame(
var = c("Economic", "Gov trust", "Inst trust", "Nationalism", "Religiosity"),
dim1 = c(0.1, -0.5, 0, 0.6, 0.4),
dim2 = c(0.1, 0.6, 0, 0, 0.3)
)
I want to plot the parties from df1 as points defined by size and include arrows based on df2 on the same graph. I've used ggplot to do this:
ggplot(df1, aes(x = dim1, y = dim2, color = party)) +
geom_point(size = df1$sz) +
scale_size_area() +
scale_x_continuous(limits = c(-1.5, 1.5)) +
scale_y_continuous(limits = c(-1.5, 1.5)) +
geom_label_repel(aes(label = party),
box.padding = 1,
point.padding = 1.5,
force = 1) +
geom_segment(aes(xend=0, yend=0, x=dim1, y=dim2), data=df2,
arrow=arrow(length=unit(0.20,"cm"), ends="first", type = "closed"), color="black") +
geom_text_repel(aes(x=dim1, y=dim2, label=var),
data = df2, color = "black", size = 3, force = 1)
Resulting in this:
The functions geom_label_repel and geom_text_repel prevent the party labels and the texts from overlapping, but how can I repel the labels and texts from each other?
My second problem is that I want to order the points, with the smallest in the front and the largest at the back. How could this be done?
Appreciate the help!
r ggplot2 ggrepel
asked Nov 22 '18 at 11:32
Marco Pastor MayoMarco Pastor Mayo
766
To reorder the points, this seems to work,df1 <- df1[2:1, ]. To see both points, maybegeom_point(aes(alpha = 0.25), etc). To repel text and labels, ingeom_text_repelmaybenudge_y = -0.25.
– Rui Barradas
Nov 22 '18 at 12:24
I need a more systematic way of doing this because I’m creating dozens of graphs with a for loop.
– Marco Pastor Mayo
Nov 23 '18 at 11:30
add a comment |
I have 2 data frames such as these:
df1 <- data.frame(
party = c("Blue Party", "Red Party"),
dim1 = c(0.03, -0.04),
dim2 = c(-0.05, 0.02),
sz = c(34, 42)
)
df2 <- data.frame(
var = c("Economic", "Gov trust", "Inst trust", "Nationalism", "Religiosity"),
dim1 = c(0.1, -0.5, 0, 0.6, 0.4),
dim2 = c(0.1, 0.6, 0, 0, 0.3)
)
I want to plot the parties from df1 as points defined by size and include arrows based on df2 on the same graph. I've used ggplot to do this:
ggplot(df1, aes(x = dim1, y = dim2, color = party)) +
geom_point(size = df1$sz) +
scale_size_area() +
scale_x_continuous(limits = c(-1.5, 1.5)) +
scale_y_continuous(limits = c(-1.5, 1.5)) +
geom_label_repel(aes(label = party),
box.padding = 1,
point.padding = 1.5,
force = 1) +
geom_segment(aes(xend=0, yend=0, x=dim1, y=dim2), data=df2,
arrow=arrow(length=unit(0.20,"cm"), ends="first", type = "closed"), color="black") +
geom_text_repel(aes(x=dim1, y=dim2, label=var),
data = df2, color = "black", size = 3, force = 1)
Resulting in this:
The functions geom_label_repel and geom_text_repel prevent the party labels and the texts from overlapping, but how can I repel the labels and texts from each other?
My second problem is that I want to order the points, with the smallest in the front and the largest at the back. How could this be done?
Appreciate the help!
r ggplot2 ggrepel
asked Nov 22 '18 at 11:32
Marco Pastor MayoMarco Pastor Mayo
766
I have 2 data frames such as these:
df1 <- data.frame(
party = c("Blue Party", "Red Party"),
dim1 = c(0.03, -0.04),
dim2 = c(-0.05, 0.02),
sz = c(34, 42)
)
df2 <- data.frame(
var = c("Economic", "Gov trust", "Inst trust", "Nationalism", "Religiosity"),
dim1 = c(0.1, -0.5, 0, 0.6, 0.4),
dim2 = c(0.1, 0.6, 0, 0, 0.3)
)
I want to plot the parties from df1 as points defined by size and include arrows based on df2 on the same graph. I've used ggplot to do this:
ggplot(df1, aes(x = dim1, y = dim2, color = party)) +
geom_point(size = df1$sz) +
scale_size_area() +
scale_x_continuous(limits = c(-1.5, 1.5)) +
scale_y_continuous(limits = c(-1.5, 1.5)) +
geom_label_repel(aes(label = party),
box.padding = 1,
point.padding = 1.5,
force = 1) +
geom_segment(aes(xend=0, yend=0, x=dim1, y=dim2), data=df2,
arrow=arrow(length=unit(0.20,"cm"), ends="first", type = "closed"), color="black") +
geom_text_repel(aes(x=dim1, y=dim2, label=var),
data = df2, color = "black", size = 3, force = 1)
Resulting in this:
The functions geom_label_repel and geom_text_repel prevent the party labels and the texts from overlapping, but how can I repel the labels and texts from each other?
My second problem is that I want to order the points, with the smallest in the front and the largest at the back. How could this be done?
Appreciate the help!
r ggplot2 ggrepel
r ggplot2 ggrepel
asked Nov 22 '18 at 11:32
Marco Pastor MayoMarco Pastor Mayo
766
asked Nov 22 '18 at 11:32
Marco Pastor MayoMarco Pastor Mayo
766
edited Nov 23 '18 at 13:46
Marco Pastor Mayo
asked Nov 22 '18 at 11:32
Marco Pastor MayoMarco Pastor Mayo
766
asked Nov 22 '18 at 11:32
Marco Pastor MayoMarco Pastor Mayo
766
asked Nov 22 '18 at 11:32
Marco Pastor MayoMarco Pastor Mayo
766
766
To reorder the points, this seems to work,df1 <- df1[2:1, ]. To see both points, maybegeom_point(aes(alpha = 0.25), etc). To repel text and labels, ingeom_text_repelmaybenudge_y = -0.25.
– Rui Barradas
Nov 22 '18 at 12:24
I need a more systematic way of doing this because I’m creating dozens of graphs with a for loop.
– Marco Pastor Mayo
Nov 23 '18 at 11:30
add a comment |
To reorder the points, this seems to work,df1 <- df1[2:1, ]. To see both points, maybegeom_point(aes(alpha = 0.25), etc). To repel text and labels, ingeom_text_repelmaybenudge_y = -0.25.
– Rui Barradas
Nov 22 '18 at 12:24
I need a more systematic way of doing this because I’m creating dozens of graphs with a for loop.
– Marco Pastor Mayo
Nov 23 '18 at 11:30
To reorder the points, this seems to work,
df1 <- df1[2:1, ]. To see both points, maybe geom_point(aes(alpha = 0.25), etc). To repel text and labels, in geom_text_repel maybe nudge_y = -0.25.– Rui Barradas
Nov 22 '18 at 12:24
To reorder the points, this seems to work,
df1 <- df1[2:1, ]. To see both points, maybe geom_point(aes(alpha = 0.25), etc). To repel text and labels, in geom_text_repel maybe nudge_y = -0.25.– Rui Barradas
Nov 22 '18 at 12:24
I need a more systematic way of doing this because I’m creating dozens of graphs with a for loop.
– Marco Pastor Mayo
Nov 23 '18 at 11:30
I need a more systematic way of doing this because I’m creating dozens of graphs with a for loop.
– Marco Pastor Mayo
Nov 23 '18 at 11:30
add a comment |
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To reorder the points, this seems to work,
df1 <- df1[2:1, ]. To see both points, maybegeom_point(aes(alpha = 0.25), etc). To repel text and labels, ingeom_text_repelmaybenudge_y = -0.25.– Rui Barradas
Nov 22 '18 at 12:24
I need a more systematic way of doing this because I’m creating dozens of graphs with a for loop.
– Marco Pastor Mayo
Nov 23 '18 at 11:30