How can I create a boxplot with whiskers?
I have created a plot with 3 boxplots, but my whiskers are not showing for one of them.

How can I make them show?
This is my data:
Class 3: 5.055052 3.028838 3.423485 6.434745 6.396239 4.114418
3.687380 2.633139 7.356185 5.736677 4.462504 7.137034
Class 4: 4.738094 21.736701 6.716363 10.306583 4.757640 6.265024
My code is as follows:
boxplot(hvol.concentration,class.3, class.4, ylab="8-OHdG Concentration (ng/ml)", main="Boxplot Distribution of 8-OHdG", ylim=c(0,25), pch=16, names=c("Control", "NYHA III", "NYHA IV"))
r boxplot errorbar
add a comment |
I have created a plot with 3 boxplots, but my whiskers are not showing for one of them.

How can I make them show?
This is my data:
Class 3: 5.055052 3.028838 3.423485 6.434745 6.396239 4.114418
3.687380 2.633139 7.356185 5.736677 4.462504 7.137034
Class 4: 4.738094 21.736701 6.716363 10.306583 4.757640 6.265024
My code is as follows:
boxplot(hvol.concentration,class.3, class.4, ylab="8-OHdG Concentration (ng/ml)", main="Boxplot Distribution of 8-OHdG", ylim=c(0,25), pch=16, names=c("Control", "NYHA III", "NYHA IV"))
r boxplot errorbar
add a comment |
I have created a plot with 3 boxplots, but my whiskers are not showing for one of them.

How can I make them show?
This is my data:
Class 3: 5.055052 3.028838 3.423485 6.434745 6.396239 4.114418
3.687380 2.633139 7.356185 5.736677 4.462504 7.137034
Class 4: 4.738094 21.736701 6.716363 10.306583 4.757640 6.265024
My code is as follows:
boxplot(hvol.concentration,class.3, class.4, ylab="8-OHdG Concentration (ng/ml)", main="Boxplot Distribution of 8-OHdG", ylim=c(0,25), pch=16, names=c("Control", "NYHA III", "NYHA IV"))
r boxplot errorbar
I have created a plot with 3 boxplots, but my whiskers are not showing for one of them.

How can I make them show?
This is my data:
Class 3: 5.055052 3.028838 3.423485 6.434745 6.396239 4.114418
3.687380 2.633139 7.356185 5.736677 4.462504 7.137034
Class 4: 4.738094 21.736701 6.716363 10.306583 4.757640 6.265024
My code is as follows:
boxplot(hvol.concentration,class.3, class.4, ylab="8-OHdG Concentration (ng/ml)", main="Boxplot Distribution of 8-OHdG", ylim=c(0,25), pch=16, names=c("Control", "NYHA III", "NYHA IV"))
r boxplot errorbar
r boxplot errorbar
edited Nov 13 '18 at 12:11
hrbrmstr
60.3k687148
60.3k687148
asked Nov 13 '18 at 12:06
Marierose M. MinaMarierose M. Mina
162
162
add a comment |
add a comment |
1 Answer
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boxplot(c(4.738094, 21.736701, 6.716363, 10.306583, 4.757640, 6.265024), plot = FALSE)$stats
## [,1]
## [1,] 4.738094 <<== It's definitely there but the lower bound of the IQR is almost the same as min val
## [2,] 4.757640
## [3,] 6.490694
## [4,] 10.306583 <<== Upper bound of IQR == max val
## [5,] 10.306583
If you make the plot window bigger the grid size will be sufficient to see the lower IQR:
boxplot(
c(4.738094, 21.736701, 6.716363, 10.306583, 4.757640, 6.265024),
horizontal = TRUE
)

add a comment |
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1 Answer
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1 Answer
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active
oldest
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boxplot(c(4.738094, 21.736701, 6.716363, 10.306583, 4.757640, 6.265024), plot = FALSE)$stats
## [,1]
## [1,] 4.738094 <<== It's definitely there but the lower bound of the IQR is almost the same as min val
## [2,] 4.757640
## [3,] 6.490694
## [4,] 10.306583 <<== Upper bound of IQR == max val
## [5,] 10.306583
If you make the plot window bigger the grid size will be sufficient to see the lower IQR:
boxplot(
c(4.738094, 21.736701, 6.716363, 10.306583, 4.757640, 6.265024),
horizontal = TRUE
)

add a comment |
boxplot(c(4.738094, 21.736701, 6.716363, 10.306583, 4.757640, 6.265024), plot = FALSE)$stats
## [,1]
## [1,] 4.738094 <<== It's definitely there but the lower bound of the IQR is almost the same as min val
## [2,] 4.757640
## [3,] 6.490694
## [4,] 10.306583 <<== Upper bound of IQR == max val
## [5,] 10.306583
If you make the plot window bigger the grid size will be sufficient to see the lower IQR:
boxplot(
c(4.738094, 21.736701, 6.716363, 10.306583, 4.757640, 6.265024),
horizontal = TRUE
)

add a comment |
boxplot(c(4.738094, 21.736701, 6.716363, 10.306583, 4.757640, 6.265024), plot = FALSE)$stats
## [,1]
## [1,] 4.738094 <<== It's definitely there but the lower bound of the IQR is almost the same as min val
## [2,] 4.757640
## [3,] 6.490694
## [4,] 10.306583 <<== Upper bound of IQR == max val
## [5,] 10.306583
If you make the plot window bigger the grid size will be sufficient to see the lower IQR:
boxplot(
c(4.738094, 21.736701, 6.716363, 10.306583, 4.757640, 6.265024),
horizontal = TRUE
)

boxplot(c(4.738094, 21.736701, 6.716363, 10.306583, 4.757640, 6.265024), plot = FALSE)$stats
## [,1]
## [1,] 4.738094 <<== It's definitely there but the lower bound of the IQR is almost the same as min val
## [2,] 4.757640
## [3,] 6.490694
## [4,] 10.306583 <<== Upper bound of IQR == max val
## [5,] 10.306583
If you make the plot window bigger the grid size will be sufficient to see the lower IQR:
boxplot(
c(4.738094, 21.736701, 6.716363, 10.306583, 4.757640, 6.265024),
horizontal = TRUE
)

answered Nov 13 '18 at 12:17
hrbrmstrhrbrmstr
60.3k687148
60.3k687148
add a comment |
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