How to change y axis limits in decimal points in R?
1
I can plot the barplot in Excel with decimal points in y-axis limits as shown below.
But I would not be able to change the y-axis limits in R.
Here is my code in R.
par(mfrow=c(1, 1), mar=c(7, 4, 5, 6))
mydata <- data.frame(Algorithm1=c(95.85, 96.94), Algorithm2=c(96.04, 96.84), Algorithm3=c(95, 95.30))
barplot(as.matrix(mydata), main="Precision", ylim=range(0:100),
beside=T, col=c("red", "blue"), las=1, border = 0, cex.lab=1, cex.axis=1, font=1,col.axis="black", ylab = "Percentage",
legend.text = c("X1", "X2"),
args.legend = list(x ='topright', bty='n', inset=c(-0.20,0)))
Thanks in advance for your answer.
r
asked Dec 27 at 14:32
Ashok Kumar Jayaraman
991715
add a comment |
1
I can plot the barplot in Excel with decimal points in y-axis limits as shown below.
But I would not be able to change the y-axis limits in R.
Here is my code in R.
par(mfrow=c(1, 1), mar=c(7, 4, 5, 6))
mydata <- data.frame(Algorithm1=c(95.85, 96.94), Algorithm2=c(96.04, 96.84), Algorithm3=c(95, 95.30))
barplot(as.matrix(mydata), main="Precision", ylim=range(0:100),
beside=T, col=c("red", "blue"), las=1, border = 0, cex.lab=1, cex.axis=1, font=1,col.axis="black", ylab = "Percentage",
legend.text = c("X1", "X2"),
args.legend = list(x ='topright', bty='n', inset=c(-0.20,0)))
Thanks in advance for your answer.
r
asked Dec 27 at 14:32
Ashok Kumar Jayaraman
991715
add a comment |
1
1
1
I can plot the barplot in Excel with decimal points in y-axis limits as shown below.
But I would not be able to change the y-axis limits in R.
Here is my code in R.
par(mfrow=c(1, 1), mar=c(7, 4, 5, 6))
mydata <- data.frame(Algorithm1=c(95.85, 96.94), Algorithm2=c(96.04, 96.84), Algorithm3=c(95, 95.30))
barplot(as.matrix(mydata), main="Precision", ylim=range(0:100),
beside=T, col=c("red", "blue"), las=1, border = 0, cex.lab=1, cex.axis=1, font=1,col.axis="black", ylab = "Percentage",
legend.text = c("X1", "X2"),
args.legend = list(x ='topright', bty='n', inset=c(-0.20,0)))
Thanks in advance for your answer.
r
asked Dec 27 at 14:32
Ashok Kumar Jayaraman
991715
I can plot the barplot in Excel with decimal points in y-axis limits as shown below.
But I would not be able to change the y-axis limits in R.
Here is my code in R.
par(mfrow=c(1, 1), mar=c(7, 4, 5, 6))
mydata <- data.frame(Algorithm1=c(95.85, 96.94), Algorithm2=c(96.04, 96.84), Algorithm3=c(95, 95.30))
barplot(as.matrix(mydata), main="Precision", ylim=range(0:100),
beside=T, col=c("red", "blue"), las=1, border = 0, cex.lab=1, cex.axis=1, font=1,col.axis="black", ylab = "Percentage",
legend.text = c("X1", "X2"),
args.legend = list(x ='topright', bty='n', inset=c(-0.20,0)))
Thanks in advance for your answer.
r
r
asked Dec 27 at 14:32
Ashok Kumar Jayaraman
991715
asked Dec 27 at 14:32
Ashok Kumar Jayaraman
991715
asked Dec 27 at 14:32
Ashok Kumar Jayaraman
991715
asked Dec 27 at 14:32
Ashok Kumar Jayaraman
991715
asked Dec 27 at 14:32
Ashok Kumar Jayaraman
991715
991715
add a comment |
add a comment |
3 Answers
3
active
oldest
votes
1
Set the limit of y and xpd = FALSE.
FALSE: all plotting is clipped to the plot region
TRUE: all plotting is clipped to the figure region
NA: all plotting is clipped to the device region
library(RColorBrewer)
color <- brewer.pal(3, "Set1")[2:1]
plot.new()
plot.window(xlim = c(0, 10), ylim = c(94, 97.5), yaxs = "i")
abline(h = seq(94, 97.5, 0.5), col = 8)
barplot(as.matrix(mydata), beside = T, col = color,
border = NA, legend.text = c("X1", "X2"),
args.legend = list(x = 'topright', bty = "n"), xpd = F, add = T)
answered Dec 27 at 15:54
Darren Tsai
1,109320
add a comment |
4
You can also use ggplot2 and scales.
library(dplyr)
library(ggplot2)
library(scales)
mydata <- data.frame(Algorithm = rep(c('Algorithm1','Algorithm2','Algorithm3'), each=2),
variable_x = rep(c('X1','X2'),3),
values=c(0.9585, 0.9694,0.9604, 0.9684, 0.95, 0.9530))
mydata %>%
ggplot(aes(x=Algorithm,y=values,fill=variable_x))+
geom_bar(stat='identity', position='dodge')+
scale_y_continuous(labels = scales::percent, limits = c(0.94,0.975), oob = rescale_none)+
scale_fill_manual(values= c(X1='red',X2='blue'))
edited Dec 28 at 5:07
Darren Tsai
1,109320
answered Dec 27 at 15:54
Senzeybek
414
New contributor
Senzeybek is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
0
You could do:
tickPoints <- 20 * (0:5)
par(mfrow = c(1, 1), mar = c(7, 4, 5, 6))
mydata <- data.frame(
Algorithm1 = c(95.85, 96.94),
Algorithm2 = c(96.04, 96.84),
Algorithm3 = c(95, 95.30)
)
barplot(
as.matrix(mydata), main = "Precision", beside = T, col = c("red", "blue"),
las = 1, border = 0, cex.lab = 1, cex.axis = 1, font = 1, col.axis = "black",
ylab = "Percentage", legend.text = c("X1", "X2"),
args.legend = list(x = 'topright', bty = 'n',inset = c(-0.20, 0)),
axes = FALSE,
ylim = range(tickPoints)
)
axis(side = 2, at = tickPoints, labels = sprintf("%0.1f", tickPoints))
Note the axes = FALSE in the call to barplot
answered Dec 27 at 14:57
Jozef
561110
Thanks for your answer. But I want the y-axis limits as shown in the first figure.
– Ashok Kumar Jayaraman
Dec 28 at 3:54
1
You can update the thetickPointsto whatever suits you, for exampletickPoints <- seq(94, 97.5, by = 0.5)to replicate the Excel chart
– Jozef
Dec 28 at 7:21
add a comment |
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3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
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oldest
votes
1
Set the limit of y and xpd = FALSE.
FALSE: all plotting is clipped to the plot region
TRUE: all plotting is clipped to the figure region
NA: all plotting is clipped to the device region
library(RColorBrewer)
color <- brewer.pal(3, "Set1")[2:1]
plot.new()
plot.window(xlim = c(0, 10), ylim = c(94, 97.5), yaxs = "i")
abline(h = seq(94, 97.5, 0.5), col = 8)
barplot(as.matrix(mydata), beside = T, col = color,
border = NA, legend.text = c("X1", "X2"),
args.legend = list(x = 'topright', bty = "n"), xpd = F, add = T)
answered Dec 27 at 15:54
Darren Tsai
1,109320
add a comment |
1
Set the limit of y and xpd = FALSE.
FALSE: all plotting is clipped to the plot region
TRUE: all plotting is clipped to the figure region
NA: all plotting is clipped to the device region
library(RColorBrewer)
color <- brewer.pal(3, "Set1")[2:1]
plot.new()
plot.window(xlim = c(0, 10), ylim = c(94, 97.5), yaxs = "i")
abline(h = seq(94, 97.5, 0.5), col = 8)
barplot(as.matrix(mydata), beside = T, col = color,
border = NA, legend.text = c("X1", "X2"),
args.legend = list(x = 'topright', bty = "n"), xpd = F, add = T)
answered Dec 27 at 15:54
Darren Tsai
1,109320
add a comment |
1
1
1
Set the limit of y and xpd = FALSE.
FALSE: all plotting is clipped to the plot region
TRUE: all plotting is clipped to the figure region
NA: all plotting is clipped to the device region
library(RColorBrewer)
color <- brewer.pal(3, "Set1")[2:1]
plot.new()
plot.window(xlim = c(0, 10), ylim = c(94, 97.5), yaxs = "i")
abline(h = seq(94, 97.5, 0.5), col = 8)
barplot(as.matrix(mydata), beside = T, col = color,
border = NA, legend.text = c("X1", "X2"),
args.legend = list(x = 'topright', bty = "n"), xpd = F, add = T)
answered Dec 27 at 15:54
Darren Tsai
1,109320
Set the limit of y and xpd = FALSE.
FALSE: all plotting is clipped to the plot region
TRUE: all plotting is clipped to the figure region
NA: all plotting is clipped to the device region
library(RColorBrewer)
color <- brewer.pal(3, "Set1")[2:1]
plot.new()
plot.window(xlim = c(0, 10), ylim = c(94, 97.5), yaxs = "i")
abline(h = seq(94, 97.5, 0.5), col = 8)
barplot(as.matrix(mydata), beside = T, col = color,
border = NA, legend.text = c("X1", "X2"),
args.legend = list(x = 'topright', bty = "n"), xpd = F, add = T)
answered Dec 27 at 15:54
Darren Tsai
1,109320
edited Dec 27 at 16:57
answered Dec 27 at 15:54
Darren Tsai
1,109320
answered Dec 27 at 15:54
Darren Tsai
1,109320
answered Dec 27 at 15:54
Darren Tsai
1,109320
1,109320
add a comment |
add a comment |
4
You can also use ggplot2 and scales.
library(dplyr)
library(ggplot2)
library(scales)
mydata <- data.frame(Algorithm = rep(c('Algorithm1','Algorithm2','Algorithm3'), each=2),
variable_x = rep(c('X1','X2'),3),
values=c(0.9585, 0.9694,0.9604, 0.9684, 0.95, 0.9530))
mydata %>%
ggplot(aes(x=Algorithm,y=values,fill=variable_x))+
geom_bar(stat='identity', position='dodge')+
scale_y_continuous(labels = scales::percent, limits = c(0.94,0.975), oob = rescale_none)+
scale_fill_manual(values= c(X1='red',X2='blue'))
edited Dec 28 at 5:07
Darren Tsai
1,109320
answered Dec 27 at 15:54
Senzeybek
414
New contributor
Senzeybek is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
4
You can also use ggplot2 and scales.
library(dplyr)
library(ggplot2)
library(scales)
mydata <- data.frame(Algorithm = rep(c('Algorithm1','Algorithm2','Algorithm3'), each=2),
variable_x = rep(c('X1','X2'),3),
values=c(0.9585, 0.9694,0.9604, 0.9684, 0.95, 0.9530))
mydata %>%
ggplot(aes(x=Algorithm,y=values,fill=variable_x))+
geom_bar(stat='identity', position='dodge')+
scale_y_continuous(labels = scales::percent, limits = c(0.94,0.975), oob = rescale_none)+
scale_fill_manual(values= c(X1='red',X2='blue'))
edited Dec 28 at 5:07
Darren Tsai
1,109320
answered Dec 27 at 15:54
Senzeybek
414
New contributor
Senzeybek is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
4
4
4
You can also use ggplot2 and scales.
library(dplyr)
library(ggplot2)
library(scales)
mydata <- data.frame(Algorithm = rep(c('Algorithm1','Algorithm2','Algorithm3'), each=2),
variable_x = rep(c('X1','X2'),3),
values=c(0.9585, 0.9694,0.9604, 0.9684, 0.95, 0.9530))
mydata %>%
ggplot(aes(x=Algorithm,y=values,fill=variable_x))+
geom_bar(stat='identity', position='dodge')+
scale_y_continuous(labels = scales::percent, limits = c(0.94,0.975), oob = rescale_none)+
scale_fill_manual(values= c(X1='red',X2='blue'))
edited Dec 28 at 5:07
Darren Tsai
1,109320
answered Dec 27 at 15:54
Senzeybek
414
New contributor
Senzeybek is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
You can also use ggplot2 and scales.
library(dplyr)
library(ggplot2)
library(scales)
mydata <- data.frame(Algorithm = rep(c('Algorithm1','Algorithm2','Algorithm3'), each=2),
variable_x = rep(c('X1','X2'),3),
values=c(0.9585, 0.9694,0.9604, 0.9684, 0.95, 0.9530))
mydata %>%
ggplot(aes(x=Algorithm,y=values,fill=variable_x))+
geom_bar(stat='identity', position='dodge')+
scale_y_continuous(labels = scales::percent, limits = c(0.94,0.975), oob = rescale_none)+
scale_fill_manual(values= c(X1='red',X2='blue'))
edited Dec 28 at 5:07
Darren Tsai
1,109320
answered Dec 27 at 15:54
Senzeybek
414
New contributor
Senzeybek is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited Dec 28 at 5:07
Darren Tsai
1,109320
edited Dec 28 at 5:07
Darren Tsai
1,109320
edited Dec 28 at 5:07
Darren Tsai
1,109320
1,109320
answered Dec 27 at 15:54
Senzeybek
414
New contributor
Senzeybek is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered Dec 27 at 15:54
Senzeybek
414
answered Dec 27 at 15:54
Senzeybek
414
414
New contributor
Senzeybek is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Senzeybek is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Senzeybek is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
0
You could do:
tickPoints <- 20 * (0:5)
par(mfrow = c(1, 1), mar = c(7, 4, 5, 6))
mydata <- data.frame(
Algorithm1 = c(95.85, 96.94),
Algorithm2 = c(96.04, 96.84),
Algorithm3 = c(95, 95.30)
)
barplot(
as.matrix(mydata), main = "Precision", beside = T, col = c("red", "blue"),
las = 1, border = 0, cex.lab = 1, cex.axis = 1, font = 1, col.axis = "black",
ylab = "Percentage", legend.text = c("X1", "X2"),
args.legend = list(x = 'topright', bty = 'n',inset = c(-0.20, 0)),
axes = FALSE,
ylim = range(tickPoints)
)
axis(side = 2, at = tickPoints, labels = sprintf("%0.1f", tickPoints))
Note the axes = FALSE in the call to barplot
answered Dec 27 at 14:57
Jozef
561110
Thanks for your answer. But I want the y-axis limits as shown in the first figure.
– Ashok Kumar Jayaraman
Dec 28 at 3:54
1
You can update the thetickPointsto whatever suits you, for exampletickPoints <- seq(94, 97.5, by = 0.5)to replicate the Excel chart
– Jozef
Dec 28 at 7:21
add a comment |
0
You could do:
tickPoints <- 20 * (0:5)
par(mfrow = c(1, 1), mar = c(7, 4, 5, 6))
mydata <- data.frame(
Algorithm1 = c(95.85, 96.94),
Algorithm2 = c(96.04, 96.84),
Algorithm3 = c(95, 95.30)
)
barplot(
as.matrix(mydata), main = "Precision", beside = T, col = c("red", "blue"),
las = 1, border = 0, cex.lab = 1, cex.axis = 1, font = 1, col.axis = "black",
ylab = "Percentage", legend.text = c("X1", "X2"),
args.legend = list(x = 'topright', bty = 'n',inset = c(-0.20, 0)),
axes = FALSE,
ylim = range(tickPoints)
)
axis(side = 2, at = tickPoints, labels = sprintf("%0.1f", tickPoints))
Note the axes = FALSE in the call to barplot
answered Dec 27 at 14:57
Jozef
561110
Thanks for your answer. But I want the y-axis limits as shown in the first figure.
– Ashok Kumar Jayaraman
Dec 28 at 3:54
1
You can update the thetickPointsto whatever suits you, for exampletickPoints <- seq(94, 97.5, by = 0.5)to replicate the Excel chart
– Jozef
Dec 28 at 7:21
add a comment |
0
0
0
You could do:
tickPoints <- 20 * (0:5)
par(mfrow = c(1, 1), mar = c(7, 4, 5, 6))
mydata <- data.frame(
Algorithm1 = c(95.85, 96.94),
Algorithm2 = c(96.04, 96.84),
Algorithm3 = c(95, 95.30)
)
barplot(
as.matrix(mydata), main = "Precision", beside = T, col = c("red", "blue"),
las = 1, border = 0, cex.lab = 1, cex.axis = 1, font = 1, col.axis = "black",
ylab = "Percentage", legend.text = c("X1", "X2"),
args.legend = list(x = 'topright', bty = 'n',inset = c(-0.20, 0)),
axes = FALSE,
ylim = range(tickPoints)
)
axis(side = 2, at = tickPoints, labels = sprintf("%0.1f", tickPoints))
Note the axes = FALSE in the call to barplot
answered Dec 27 at 14:57
Jozef
561110
You could do:
tickPoints <- 20 * (0:5)
par(mfrow = c(1, 1), mar = c(7, 4, 5, 6))
mydata <- data.frame(
Algorithm1 = c(95.85, 96.94),
Algorithm2 = c(96.04, 96.84),
Algorithm3 = c(95, 95.30)
)
barplot(
as.matrix(mydata), main = "Precision", beside = T, col = c("red", "blue"),
las = 1, border = 0, cex.lab = 1, cex.axis = 1, font = 1, col.axis = "black",
ylab = "Percentage", legend.text = c("X1", "X2"),
args.legend = list(x = 'topright', bty = 'n',inset = c(-0.20, 0)),
axes = FALSE,
ylim = range(tickPoints)
)
axis(side = 2, at = tickPoints, labels = sprintf("%0.1f", tickPoints))
Note the axes = FALSE in the call to barplot
answered Dec 27 at 14:57
Jozef
561110
edited Dec 27 at 15:02
answered Dec 27 at 14:57
Jozef
561110
answered Dec 27 at 14:57
Jozef
561110
answered Dec 27 at 14:57
Jozef
561110
561110
Thanks for your answer. But I want the y-axis limits as shown in the first figure.
– Ashok Kumar Jayaraman
Dec 28 at 3:54
1
You can update the thetickPointsto whatever suits you, for exampletickPoints <- seq(94, 97.5, by = 0.5)to replicate the Excel chart
– Jozef
Dec 28 at 7:21
add a comment |
Thanks for your answer. But I want the y-axis limits as shown in the first figure.
– Ashok Kumar Jayaraman
Dec 28 at 3:54
1
You can update the thetickPointsto whatever suits you, for exampletickPoints <- seq(94, 97.5, by = 0.5)to replicate the Excel chart
– Jozef
Dec 28 at 7:21
Thanks for your answer. But I want the y-axis limits as shown in the first figure.
– Ashok Kumar Jayaraman
Dec 28 at 3:54
Thanks for your answer. But I want the y-axis limits as shown in the first figure.
– Ashok Kumar Jayaraman
Dec 28 at 3:54
1
1
You can update the the
tickPoints to whatever suits you, for example tickPoints <- seq(94, 97.5, by = 0.5) to replicate the Excel chart– Jozef
Dec 28 at 7:21
You can update the the
tickPoints to whatever suits you, for example tickPoints <- seq(94, 97.5, by = 0.5) to replicate the Excel chart– Jozef
Dec 28 at 7:21
add a comment |
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