geom_dotplot rounding decimal place of dot fill
I have created a boxplot of some data using ggplot2 in which I am displaying the data points as dots along the vertical axis of the plot.
bp2 <- ggplot(DBS, aes(DBS_Electrode,Proximal_Lead_Bowing, color=DBS_Electrode)) +
geom_boxplot() + geom_dotplot(binaxis="y", stackdir="center", fill="white",
dotsize=0.5) + theme_classic()
bp2 + scale_color_manual(values=c("goldenrod3","gray62","dodgerblue1")) +
theme(legend.position = "none") + xlab("") + ylab("Proximal Lead Bowing (mm)")
It appears that my output is rounding the data points to the nearest tenth such that the data points along the axis of each boxplot have several instances in which multiple points are being displayed at the same level along the Y-axis (see plot http://rpubs.com/Gopher16/441664). This is a misrepresentation of the data as there is are no data points that have the exact same measures of proximal lead bowing. (Data was measured to the nearest thousandth). How can I change this output such that all data points are displayed along a vertical axis along each boxplot (i.e. read the data points to the nearest thousandth rather than rounding to the nearest tenth so that no points are displayed at the same level along the Y-axis)?
r ggplot2
asked Nov 21 '18 at 17:04
Jake NiedererJake Niederer
74
add a comment |
I have created a boxplot of some data using ggplot2 in which I am displaying the data points as dots along the vertical axis of the plot.
bp2 <- ggplot(DBS, aes(DBS_Electrode,Proximal_Lead_Bowing, color=DBS_Electrode)) +
geom_boxplot() + geom_dotplot(binaxis="y", stackdir="center", fill="white",
dotsize=0.5) + theme_classic()
bp2 + scale_color_manual(values=c("goldenrod3","gray62","dodgerblue1")) +
theme(legend.position = "none") + xlab("") + ylab("Proximal Lead Bowing (mm)")
It appears that my output is rounding the data points to the nearest tenth such that the data points along the axis of each boxplot have several instances in which multiple points are being displayed at the same level along the Y-axis (see plot http://rpubs.com/Gopher16/441664). This is a misrepresentation of the data as there is are no data points that have the exact same measures of proximal lead bowing. (Data was measured to the nearest thousandth). How can I change this output such that all data points are displayed along a vertical axis along each boxplot (i.e. read the data points to the nearest thousandth rather than rounding to the nearest tenth so that no points are displayed at the same level along the Y-axis)?
r ggplot2
asked Nov 21 '18 at 17:04
Jake NiedererJake Niederer
74
could I edit in the image from your RPubs link? That way the image can be seen here and there's no risk of link breakage.
– Sam Firke
Nov 21 '18 at 17:48
add a comment |
I have created a boxplot of some data using ggplot2 in which I am displaying the data points as dots along the vertical axis of the plot.
bp2 <- ggplot(DBS, aes(DBS_Electrode,Proximal_Lead_Bowing, color=DBS_Electrode)) +
geom_boxplot() + geom_dotplot(binaxis="y", stackdir="center", fill="white",
dotsize=0.5) + theme_classic()
bp2 + scale_color_manual(values=c("goldenrod3","gray62","dodgerblue1")) +
theme(legend.position = "none") + xlab("") + ylab("Proximal Lead Bowing (mm)")
It appears that my output is rounding the data points to the nearest tenth such that the data points along the axis of each boxplot have several instances in which multiple points are being displayed at the same level along the Y-axis (see plot http://rpubs.com/Gopher16/441664). This is a misrepresentation of the data as there is are no data points that have the exact same measures of proximal lead bowing. (Data was measured to the nearest thousandth). How can I change this output such that all data points are displayed along a vertical axis along each boxplot (i.e. read the data points to the nearest thousandth rather than rounding to the nearest tenth so that no points are displayed at the same level along the Y-axis)?
r ggplot2
asked Nov 21 '18 at 17:04
Jake NiedererJake Niederer
74
I have created a boxplot of some data using ggplot2 in which I am displaying the data points as dots along the vertical axis of the plot.
bp2 <- ggplot(DBS, aes(DBS_Electrode,Proximal_Lead_Bowing, color=DBS_Electrode)) +
geom_boxplot() + geom_dotplot(binaxis="y", stackdir="center", fill="white",
dotsize=0.5) + theme_classic()
bp2 + scale_color_manual(values=c("goldenrod3","gray62","dodgerblue1")) +
theme(legend.position = "none") + xlab("") + ylab("Proximal Lead Bowing (mm)")
It appears that my output is rounding the data points to the nearest tenth such that the data points along the axis of each boxplot have several instances in which multiple points are being displayed at the same level along the Y-axis (see plot http://rpubs.com/Gopher16/441664). This is a misrepresentation of the data as there is are no data points that have the exact same measures of proximal lead bowing. (Data was measured to the nearest thousandth). How can I change this output such that all data points are displayed along a vertical axis along each boxplot (i.e. read the data points to the nearest thousandth rather than rounding to the nearest tenth so that no points are displayed at the same level along the Y-axis)?
r ggplot2
r ggplot2
asked Nov 21 '18 at 17:04
Jake NiedererJake Niederer
74
asked Nov 21 '18 at 17:04
Jake NiedererJake Niederer
74
asked Nov 21 '18 at 17:04
Jake NiedererJake Niederer
74
asked Nov 21 '18 at 17:04
Jake NiedererJake Niederer
74
asked Nov 21 '18 at 17:04
Jake NiedererJake Niederer
74
74
could I edit in the image from your RPubs link? That way the image can be seen here and there's no risk of link breakage.
– Sam Firke
Nov 21 '18 at 17:48
add a comment |
could I edit in the image from your RPubs link? That way the image can be seen here and there's no risk of link breakage.
– Sam Firke
Nov 21 '18 at 17:48
could I edit in the image from your RPubs link? That way the image can be seen here and there's no risk of link breakage.
– Sam Firke
Nov 21 '18 at 17:48
could I edit in the image from your RPubs link? That way the image can be seen here and there's no risk of link breakage.
– Sam Firke
Nov 21 '18 at 17:48
add a comment |
1 Answer
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oldest
votes
First let's make this reproducible, and thus a more useful example for future readers, by using a built-in data set:
ggplot(iris, aes(Species, Sepal.Length)) +
geom_boxplot() +
geom_dotplot(binaxis = "y", stackdir = "center", fill = "white", dotsize = 0.5) +
theme_classic()
This exhibits the behavior you find unwanted: geom_dotplot() bins the points, making multiple points appear horizontally adjacent to each other even though their Sepal.Length values differ.
You could specify binwidth = 0.01 or other small value to geom_dotplot but that's just reducing the problem, and introducing other issues.
You might want geom_jitter instead:
ggplot(iris, aes(Species, Sepal.Length)) +
geom_boxplot() +
geom_jitter(width = 0.2) +
theme_classic()
This preserves the small differences in the unique y-values, which seems to be your chief concern.
answered Nov 21 '18 at 17:42
Sam FirkeSam Firke
10.4k35469
Thank you for this! This was extremely helpful
– Jake Niederer
Nov 21 '18 at 18:08
Glad it helped! If you feel the problem is solved, you can mark the answer "accepted" by clicking the check mark.
– Sam Firke
Nov 21 '18 at 18:23
add a comment |
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1 Answer
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active
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1 Answer
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active
oldest
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oldest
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oldest
votes
First let's make this reproducible, and thus a more useful example for future readers, by using a built-in data set:
ggplot(iris, aes(Species, Sepal.Length)) +
geom_boxplot() +
geom_dotplot(binaxis = "y", stackdir = "center", fill = "white", dotsize = 0.5) +
theme_classic()
This exhibits the behavior you find unwanted: geom_dotplot() bins the points, making multiple points appear horizontally adjacent to each other even though their Sepal.Length values differ.
You could specify binwidth = 0.01 or other small value to geom_dotplot but that's just reducing the problem, and introducing other issues.
You might want geom_jitter instead:
ggplot(iris, aes(Species, Sepal.Length)) +
geom_boxplot() +
geom_jitter(width = 0.2) +
theme_classic()
This preserves the small differences in the unique y-values, which seems to be your chief concern.
answered Nov 21 '18 at 17:42
Sam FirkeSam Firke
10.4k35469
Thank you for this! This was extremely helpful
– Jake Niederer
Nov 21 '18 at 18:08
Glad it helped! If you feel the problem is solved, you can mark the answer "accepted" by clicking the check mark.
– Sam Firke
Nov 21 '18 at 18:23
add a comment |
First let's make this reproducible, and thus a more useful example for future readers, by using a built-in data set:
ggplot(iris, aes(Species, Sepal.Length)) +
geom_boxplot() +
geom_dotplot(binaxis = "y", stackdir = "center", fill = "white", dotsize = 0.5) +
theme_classic()
This exhibits the behavior you find unwanted: geom_dotplot() bins the points, making multiple points appear horizontally adjacent to each other even though their Sepal.Length values differ.
You could specify binwidth = 0.01 or other small value to geom_dotplot but that's just reducing the problem, and introducing other issues.
You might want geom_jitter instead:
ggplot(iris, aes(Species, Sepal.Length)) +
geom_boxplot() +
geom_jitter(width = 0.2) +
theme_classic()
This preserves the small differences in the unique y-values, which seems to be your chief concern.
answered Nov 21 '18 at 17:42
Sam FirkeSam Firke
10.4k35469
Thank you for this! This was extremely helpful
– Jake Niederer
Nov 21 '18 at 18:08
Glad it helped! If you feel the problem is solved, you can mark the answer "accepted" by clicking the check mark.
– Sam Firke
Nov 21 '18 at 18:23
add a comment |
First let's make this reproducible, and thus a more useful example for future readers, by using a built-in data set:
ggplot(iris, aes(Species, Sepal.Length)) +
geom_boxplot() +
geom_dotplot(binaxis = "y", stackdir = "center", fill = "white", dotsize = 0.5) +
theme_classic()
This exhibits the behavior you find unwanted: geom_dotplot() bins the points, making multiple points appear horizontally adjacent to each other even though their Sepal.Length values differ.
You could specify binwidth = 0.01 or other small value to geom_dotplot but that's just reducing the problem, and introducing other issues.
You might want geom_jitter instead:
ggplot(iris, aes(Species, Sepal.Length)) +
geom_boxplot() +
geom_jitter(width = 0.2) +
theme_classic()
This preserves the small differences in the unique y-values, which seems to be your chief concern.
answered Nov 21 '18 at 17:42
Sam FirkeSam Firke
10.4k35469
First let's make this reproducible, and thus a more useful example for future readers, by using a built-in data set:
ggplot(iris, aes(Species, Sepal.Length)) +
geom_boxplot() +
geom_dotplot(binaxis = "y", stackdir = "center", fill = "white", dotsize = 0.5) +
theme_classic()
This exhibits the behavior you find unwanted: geom_dotplot() bins the points, making multiple points appear horizontally adjacent to each other even though their Sepal.Length values differ.
You could specify binwidth = 0.01 or other small value to geom_dotplot but that's just reducing the problem, and introducing other issues.
You might want geom_jitter instead:
ggplot(iris, aes(Species, Sepal.Length)) +
geom_boxplot() +
geom_jitter(width = 0.2) +
theme_classic()
This preserves the small differences in the unique y-values, which seems to be your chief concern.
answered Nov 21 '18 at 17:42
Sam FirkeSam Firke
10.4k35469
answered Nov 21 '18 at 17:42
Sam FirkeSam Firke
10.4k35469
answered Nov 21 '18 at 17:42
Sam FirkeSam Firke
10.4k35469
answered Nov 21 '18 at 17:42
Sam FirkeSam Firke
10.4k35469
10.4k35469
Thank you for this! This was extremely helpful
– Jake Niederer
Nov 21 '18 at 18:08
Glad it helped! If you feel the problem is solved, you can mark the answer "accepted" by clicking the check mark.
– Sam Firke
Nov 21 '18 at 18:23
add a comment |
Thank you for this! This was extremely helpful
– Jake Niederer
Nov 21 '18 at 18:08
Glad it helped! If you feel the problem is solved, you can mark the answer "accepted" by clicking the check mark.
– Sam Firke
Nov 21 '18 at 18:23
Thank you for this! This was extremely helpful
– Jake Niederer
Nov 21 '18 at 18:08
Thank you for this! This was extremely helpful
– Jake Niederer
Nov 21 '18 at 18:08
Glad it helped! If you feel the problem is solved, you can mark the answer "accepted" by clicking the check mark.
– Sam Firke
Nov 21 '18 at 18:23
Glad it helped! If you feel the problem is solved, you can mark the answer "accepted" by clicking the check mark.
– Sam Firke
Nov 21 '18 at 18:23
add a comment |
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could I edit in the image from your RPubs link? That way the image can be seen here and there's no risk of link breakage.
– Sam Firke
Nov 21 '18 at 17:48