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r - adding manual labels in ggplot2 when using geom_line grouping
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Using multiple functionalities of the ggplot2 package in order to make a plot with geom_line, strange output is produced when several of them are combined like in the following:
Necessary libraries:
library(ggplot2)
library(dplyr)
library(plotly)
Sample dataset:
df <- data.frame(a = sample(LETTERS, 10, replace = FALSE),
b = rnorm(10, mean = 2, sd = 5),
c = rnorm(10, mean = 15, sd = 5),
d = sample(letters, 10, replace = FALSE))
The plot:
ggplot(df, aes(x = a)) +
geom_line(aes(y = b, group = 1, color = "line_one"), size = 2, alpha = 0.6) +
geom_line(aes(y = c, group = 1, color = "line_two"), size = 2, alpha = 0.6) +
scale_y_continuous(sec.axis = sec_axis(~. + 10)) +
labs(x = "My x axis",
y = "My y axis") +
theme(axis.text = element_text(angle = 90, hjust = 0.4, vjust = -0.5)) +
geom_hline(yintercept = df$b %>% quantile(.99),
size = 2,
color = "tomato",
linetype = "dashed",
alpha = 0.6) +
scale_color_manual(
name = "",
values = c("line_one" = "red", "line_two" = "blue")
) +
theme_light()
The output produced does not show the color of the lines in the legend box:
r ggplot2
asked Jan 3 at 13:55
adladl
362213
add a comment |
0
Using multiple functionalities of the ggplot2 package in order to make a plot with geom_line, strange output is produced when several of them are combined like in the following:
Necessary libraries:
library(ggplot2)
library(dplyr)
library(plotly)
Sample dataset:
df <- data.frame(a = sample(LETTERS, 10, replace = FALSE),
b = rnorm(10, mean = 2, sd = 5),
c = rnorm(10, mean = 15, sd = 5),
d = sample(letters, 10, replace = FALSE))
The plot:
ggplot(df, aes(x = a)) +
geom_line(aes(y = b, group = 1, color = "line_one"), size = 2, alpha = 0.6) +
geom_line(aes(y = c, group = 1, color = "line_two"), size = 2, alpha = 0.6) +
scale_y_continuous(sec.axis = sec_axis(~. + 10)) +
labs(x = "My x axis",
y = "My y axis") +
theme(axis.text = element_text(angle = 90, hjust = 0.4, vjust = -0.5)) +
geom_hline(yintercept = df$b %>% quantile(.99),
size = 2,
color = "tomato",
linetype = "dashed",
alpha = 0.6) +
scale_color_manual(
name = "",
values = c("line_one" = "red", "line_two" = "blue")
) +
theme_light()
The output produced does not show the color of the lines in the legend box:
r ggplot2
asked Jan 3 at 13:55
adladl
362213
Can't reproduce (I get corresponding colors in the legend) . You might want to update your packages.
– PoGibas
Jan 3 at 14:38
add a comment |
0
0
0
1
Using multiple functionalities of the ggplot2 package in order to make a plot with geom_line, strange output is produced when several of them are combined like in the following:
Necessary libraries:
library(ggplot2)
library(dplyr)
library(plotly)
Sample dataset:
df <- data.frame(a = sample(LETTERS, 10, replace = FALSE),
b = rnorm(10, mean = 2, sd = 5),
c = rnorm(10, mean = 15, sd = 5),
d = sample(letters, 10, replace = FALSE))
The plot:
ggplot(df, aes(x = a)) +
geom_line(aes(y = b, group = 1, color = "line_one"), size = 2, alpha = 0.6) +
geom_line(aes(y = c, group = 1, color = "line_two"), size = 2, alpha = 0.6) +
scale_y_continuous(sec.axis = sec_axis(~. + 10)) +
labs(x = "My x axis",
y = "My y axis") +
theme(axis.text = element_text(angle = 90, hjust = 0.4, vjust = -0.5)) +
geom_hline(yintercept = df$b %>% quantile(.99),
size = 2,
color = "tomato",
linetype = "dashed",
alpha = 0.6) +
scale_color_manual(
name = "",
values = c("line_one" = "red", "line_two" = "blue")
) +
theme_light()
The output produced does not show the color of the lines in the legend box:
r ggplot2
asked Jan 3 at 13:55
adladl
362213
Using multiple functionalities of the ggplot2 package in order to make a plot with geom_line, strange output is produced when several of them are combined like in the following:
Necessary libraries:
library(ggplot2)
library(dplyr)
library(plotly)
Sample dataset:
df <- data.frame(a = sample(LETTERS, 10, replace = FALSE),
b = rnorm(10, mean = 2, sd = 5),
c = rnorm(10, mean = 15, sd = 5),
d = sample(letters, 10, replace = FALSE))
The plot:
ggplot(df, aes(x = a)) +
geom_line(aes(y = b, group = 1, color = "line_one"), size = 2, alpha = 0.6) +
geom_line(aes(y = c, group = 1, color = "line_two"), size = 2, alpha = 0.6) +
scale_y_continuous(sec.axis = sec_axis(~. + 10)) +
labs(x = "My x axis",
y = "My y axis") +
theme(axis.text = element_text(angle = 90, hjust = 0.4, vjust = -0.5)) +
geom_hline(yintercept = df$b %>% quantile(.99),
size = 2,
color = "tomato",
linetype = "dashed",
alpha = 0.6) +
scale_color_manual(
name = "",
values = c("line_one" = "red", "line_two" = "blue")
) +
theme_light()
The output produced does not show the color of the lines in the legend box:
r ggplot2
r ggplot2
asked Jan 3 at 13:55
adladl
362213
asked Jan 3 at 13:55
adladl
362213
asked Jan 3 at 13:55
adladl
362213
asked Jan 3 at 13:55
adladl
362213
asked Jan 3 at 13:55
adladl
362213
362213
Can't reproduce (I get corresponding colors in the legend) . You might want to update your packages.
– PoGibas
Jan 3 at 14:38
add a comment |
Can't reproduce (I get corresponding colors in the legend) . You might want to update your packages.
– PoGibas
Jan 3 at 14:38
Can't reproduce (I get corresponding colors in the legend) . You might want to update your packages.
– PoGibas
Jan 3 at 14:38
Can't reproduce (I get corresponding colors in the legend) . You might want to update your packages.
– PoGibas
Jan 3 at 14:38
add a comment |
1 Answer
1
active
oldest
votes
1
You should always use long data when using ggplot2. By doing so, you don't need to add each and every single line as a layer and you also don't need to manually adjust legend etc. Here an example based on yours (I used tidyr::gather() to transform to long):
df <- data.frame(a = sample(LETTERS, 10, replace = FALSE),
line_one = rnorm(10, mean = 2, sd = 5),
line_two = rnorm(10, mean = 15, sd = 5),
d = sample(letters, 10, replace = FALSE))
df %>%
tidyr::gather(key = line, value = value, line_one, line_two) %>%
ggplot(aes(x = a, y = value, color = line, group = line)) +
geom_line() +
scale_color_manual(
name = NULL,
values = c("line_one" = "red", "line_two" = "blue")
) +
geom_hline(yintercept = df$line_one %>% quantile(.99),
size = 2,
color = "tomato",
linetype = "dashed",
alpha = 0.6)
Edit:
Another example showing the flexibility of long data with different layers:
library(ggplot2)
library(tidyr)
set.seed(1)
df_long <- data.frame(
x = 1:10,
a = rnorm(10),
b = rnorm(10),
c = rnorm(10),
d = rnorm(10)
) %>%
gather(key = key, value = y, -x)
ggplot(mapping = aes(x = x, y = y, fill = key, color = key)) +
geom_col(data = subset(df_long, key %in% "a")) +
geom_line(data = subset(df_long, key %in% c("b", "c"))) +
geom_point(data = subset(df_long, key %in% "d"))
answered Jan 3 at 14:10
TinoTino
1,707813
yes, but sometimes we might want to add a bar layer or a point layer instead of having all of them being lines, like for example in this post: stackoverflow.com/questions/47023781/…
– adl
Jan 3 at 14:35
Long still works best for that. Imagine you have 3 different values for each x (hence 3 colors) you want to represent as bars and only one line. Yougatherall and use subsets in the 2 layers with the desired keys instead of adding more and more layers for each line or bar you want to print (special case with bars: they will be printed on top of the previous, not stacked but behind).
– Tino
Jan 3 at 14:42
add a comment |
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1 Answer
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active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
1
You should always use long data when using ggplot2. By doing so, you don't need to add each and every single line as a layer and you also don't need to manually adjust legend etc. Here an example based on yours (I used tidyr::gather() to transform to long):
df <- data.frame(a = sample(LETTERS, 10, replace = FALSE),
line_one = rnorm(10, mean = 2, sd = 5),
line_two = rnorm(10, mean = 15, sd = 5),
d = sample(letters, 10, replace = FALSE))
df %>%
tidyr::gather(key = line, value = value, line_one, line_two) %>%
ggplot(aes(x = a, y = value, color = line, group = line)) +
geom_line() +
scale_color_manual(
name = NULL,
values = c("line_one" = "red", "line_two" = "blue")
) +
geom_hline(yintercept = df$line_one %>% quantile(.99),
size = 2,
color = "tomato",
linetype = "dashed",
alpha = 0.6)
Edit:
Another example showing the flexibility of long data with different layers:
library(ggplot2)
library(tidyr)
set.seed(1)
df_long <- data.frame(
x = 1:10,
a = rnorm(10),
b = rnorm(10),
c = rnorm(10),
d = rnorm(10)
) %>%
gather(key = key, value = y, -x)
ggplot(mapping = aes(x = x, y = y, fill = key, color = key)) +
geom_col(data = subset(df_long, key %in% "a")) +
geom_line(data = subset(df_long, key %in% c("b", "c"))) +
geom_point(data = subset(df_long, key %in% "d"))
answered Jan 3 at 14:10
TinoTino
1,707813
yes, but sometimes we might want to add a bar layer or a point layer instead of having all of them being lines, like for example in this post: stackoverflow.com/questions/47023781/…
– adl
Jan 3 at 14:35
Long still works best for that. Imagine you have 3 different values for each x (hence 3 colors) you want to represent as bars and only one line. Yougatherall and use subsets in the 2 layers with the desired keys instead of adding more and more layers for each line or bar you want to print (special case with bars: they will be printed on top of the previous, not stacked but behind).
– Tino
Jan 3 at 14:42
add a comment |
1
You should always use long data when using ggplot2. By doing so, you don't need to add each and every single line as a layer and you also don't need to manually adjust legend etc. Here an example based on yours (I used tidyr::gather() to transform to long):
df <- data.frame(a = sample(LETTERS, 10, replace = FALSE),
line_one = rnorm(10, mean = 2, sd = 5),
line_two = rnorm(10, mean = 15, sd = 5),
d = sample(letters, 10, replace = FALSE))
df %>%
tidyr::gather(key = line, value = value, line_one, line_two) %>%
ggplot(aes(x = a, y = value, color = line, group = line)) +
geom_line() +
scale_color_manual(
name = NULL,
values = c("line_one" = "red", "line_two" = "blue")
) +
geom_hline(yintercept = df$line_one %>% quantile(.99),
size = 2,
color = "tomato",
linetype = "dashed",
alpha = 0.6)
Edit:
Another example showing the flexibility of long data with different layers:
library(ggplot2)
library(tidyr)
set.seed(1)
df_long <- data.frame(
x = 1:10,
a = rnorm(10),
b = rnorm(10),
c = rnorm(10),
d = rnorm(10)
) %>%
gather(key = key, value = y, -x)
ggplot(mapping = aes(x = x, y = y, fill = key, color = key)) +
geom_col(data = subset(df_long, key %in% "a")) +
geom_line(data = subset(df_long, key %in% c("b", "c"))) +
geom_point(data = subset(df_long, key %in% "d"))
answered Jan 3 at 14:10
TinoTino
1,707813
yes, but sometimes we might want to add a bar layer or a point layer instead of having all of them being lines, like for example in this post: stackoverflow.com/questions/47023781/…
– adl
Jan 3 at 14:35
Long still works best for that. Imagine you have 3 different values for each x (hence 3 colors) you want to represent as bars and only one line. Yougatherall and use subsets in the 2 layers with the desired keys instead of adding more and more layers for each line or bar you want to print (special case with bars: they will be printed on top of the previous, not stacked but behind).
– Tino
Jan 3 at 14:42
add a comment |
1
1
1
You should always use long data when using ggplot2. By doing so, you don't need to add each and every single line as a layer and you also don't need to manually adjust legend etc. Here an example based on yours (I used tidyr::gather() to transform to long):
df <- data.frame(a = sample(LETTERS, 10, replace = FALSE),
line_one = rnorm(10, mean = 2, sd = 5),
line_two = rnorm(10, mean = 15, sd = 5),
d = sample(letters, 10, replace = FALSE))
df %>%
tidyr::gather(key = line, value = value, line_one, line_two) %>%
ggplot(aes(x = a, y = value, color = line, group = line)) +
geom_line() +
scale_color_manual(
name = NULL,
values = c("line_one" = "red", "line_two" = "blue")
) +
geom_hline(yintercept = df$line_one %>% quantile(.99),
size = 2,
color = "tomato",
linetype = "dashed",
alpha = 0.6)
Edit:
Another example showing the flexibility of long data with different layers:
library(ggplot2)
library(tidyr)
set.seed(1)
df_long <- data.frame(
x = 1:10,
a = rnorm(10),
b = rnorm(10),
c = rnorm(10),
d = rnorm(10)
) %>%
gather(key = key, value = y, -x)
ggplot(mapping = aes(x = x, y = y, fill = key, color = key)) +
geom_col(data = subset(df_long, key %in% "a")) +
geom_line(data = subset(df_long, key %in% c("b", "c"))) +
geom_point(data = subset(df_long, key %in% "d"))
answered Jan 3 at 14:10
TinoTino
1,707813
You should always use long data when using ggplot2. By doing so, you don't need to add each and every single line as a layer and you also don't need to manually adjust legend etc. Here an example based on yours (I used tidyr::gather() to transform to long):
df <- data.frame(a = sample(LETTERS, 10, replace = FALSE),
line_one = rnorm(10, mean = 2, sd = 5),
line_two = rnorm(10, mean = 15, sd = 5),
d = sample(letters, 10, replace = FALSE))
df %>%
tidyr::gather(key = line, value = value, line_one, line_two) %>%
ggplot(aes(x = a, y = value, color = line, group = line)) +
geom_line() +
scale_color_manual(
name = NULL,
values = c("line_one" = "red", "line_two" = "blue")
) +
geom_hline(yintercept = df$line_one %>% quantile(.99),
size = 2,
color = "tomato",
linetype = "dashed",
alpha = 0.6)
Edit:
Another example showing the flexibility of long data with different layers:
library(ggplot2)
library(tidyr)
set.seed(1)
df_long <- data.frame(
x = 1:10,
a = rnorm(10),
b = rnorm(10),
c = rnorm(10),
d = rnorm(10)
) %>%
gather(key = key, value = y, -x)
ggplot(mapping = aes(x = x, y = y, fill = key, color = key)) +
geom_col(data = subset(df_long, key %in% "a")) +
geom_line(data = subset(df_long, key %in% c("b", "c"))) +
geom_point(data = subset(df_long, key %in% "d"))
answered Jan 3 at 14:10
TinoTino
1,707813
edited Jan 3 at 14:50
answered Jan 3 at 14:10
TinoTino
1,707813
answered Jan 3 at 14:10
TinoTino
1,707813
answered Jan 3 at 14:10
TinoTino
1,707813
1,707813
yes, but sometimes we might want to add a bar layer or a point layer instead of having all of them being lines, like for example in this post: stackoverflow.com/questions/47023781/…
– adl
Jan 3 at 14:35
Long still works best for that. Imagine you have 3 different values for each x (hence 3 colors) you want to represent as bars and only one line. Yougatherall and use subsets in the 2 layers with the desired keys instead of adding more and more layers for each line or bar you want to print (special case with bars: they will be printed on top of the previous, not stacked but behind).
– Tino
Jan 3 at 14:42
add a comment |
yes, but sometimes we might want to add a bar layer or a point layer instead of having all of them being lines, like for example in this post: stackoverflow.com/questions/47023781/…
– adl
Jan 3 at 14:35
Long still works best for that. Imagine you have 3 different values for each x (hence 3 colors) you want to represent as bars and only one line. Yougatherall and use subsets in the 2 layers with the desired keys instead of adding more and more layers for each line or bar you want to print (special case with bars: they will be printed on top of the previous, not stacked but behind).
– Tino
Jan 3 at 14:42
yes, but sometimes we might want to add a bar layer or a point layer instead of having all of them being lines, like for example in this post: stackoverflow.com/questions/47023781/…
– adl
Jan 3 at 14:35
yes, but sometimes we might want to add a bar layer or a point layer instead of having all of them being lines, like for example in this post: stackoverflow.com/questions/47023781/…
– adl
Jan 3 at 14:35
Long still works best for that. Imagine you have 3 different values for each x (hence 3 colors) you want to represent as bars and only one line. You
gather all and use subsets in the 2 layers with the desired keys instead of adding more and more layers for each line or bar you want to print (special case with bars: they will be printed on top of the previous, not stacked but behind).– Tino
Jan 3 at 14:42
Long still works best for that. Imagine you have 3 different values for each x (hence 3 colors) you want to represent as bars and only one line. You
gather all and use subsets in the 2 layers with the desired keys instead of adding more and more layers for each line or bar you want to print (special case with bars: they will be printed on top of the previous, not stacked but behind).– Tino
Jan 3 at 14:42
add a comment |
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Can't reproduce (I get corresponding colors in the legend) . You might want to update your packages.
– PoGibas
Jan 3 at 14:38