Background color in specific places ggplot2 boxplot [duplicate]2019 Community Moderator ElectionMake the background of a graph different colours in different regionsCustomize background to highlight ranges of data in ggplotSide-by-side plots with ggplot2Rotating and spacing axis labels in ggplot2OS X Terminal ColorsHow do I get the color from a hexadecimal color code using .NET?How to set limits for axes in ggplot2 R plots?Order Bars in ggplot2 bar graphGet color-int from color resourceIgnore outliers in ggplot2 boxplotEmulate ggplot2 default color paletteHex transparency in colors
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Background color in specific places ggplot2 boxplot [duplicate]
2019 Community Moderator ElectionMake the background of a graph different colours in different regionsCustomize background to highlight ranges of data in ggplotSide-by-side plots with ggplot2Rotating and spacing axis labels in ggplot2OS X Terminal ColorsHow do I get the color from a hexadecimal color code using .NET?How to set limits for axes in ggplot2 R plots?Order Bars in ggplot2 bar graphGet color-int from color resourceIgnore outliers in ggplot2 boxplotEmulate ggplot2 default color paletteHex transparency in colors
This question already has an answer here:
Make the background of a graph different colours in different regions
2 answers
Customize background to highlight ranges of data in ggplot [duplicate]
2 answers
I have the following code to plot some data using boxplot. I am looking to know how to plot some background color in the graph. For instance, it will be very good if I could plot grey color background between group 1 and 2. And dark grey color between group 16 and 18. I am appreciate any help. Regards.
dados <- read.table(text = 'subj var time group
1: 0.9995127 PT 0
2: 0.9994366 PT 0
3: 0.9997657 PT 0
4: 0.9996991 PT 0
5: 0.9938514 T1 1
6: 0.9985952 T1 1
7: 0.9989975 T1 1
8: 0.9988476 T1 1
9: 0.9884567 T2 2
10: 0.998 T2 2
11: 0.9900545 T2 2
12: 0.9973228 T2 2
65: 0.9818935 POT1 16
66: 0.9196845 POT1 16
67: 0.8605142 POT1 16
68: 0.8620914 POT1 16
69: 0.9878192 POT2 17
70: 0.9826672 POT2 17
71: 0.9640381 POT2 17
72: 0.8976091 POT2 17
73: 0.9907579 POT3 18
74: 0.9922122 POT3 18
75: 0.9808981 POT3 18
76: 0.8988121 POT3 18', header = T)
library(ggplot2)
library(dplyr)
dados$group <- as.factor(dados$group)
head (dados)
p<-ggplot(dados, aes(x=group, y=var)) + geom_boxplot()
p + scale_x_discrete(breaks=c("0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19","20","21","22"),labels=c("PT","T01", "T02","T03","T04","T05","T06","T07","T08","T09","T10","T11","T12","T13","T14","T15","POT1","POT2","POT3","POT4","POT5","POT6","POT7"))
r ggplot2 colors
edited Mar 6 at 18:17
markus
14.3k11235
asked Mar 6 at 17:37
Thiago PetersenThiago Petersen
31
marked as duplicate by camille, markus, Rui Barradas r
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This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.
add a comment |
This question already has an answer here:
Make the background of a graph different colours in different regions
2 answers
Customize background to highlight ranges of data in ggplot [duplicate]
2 answers
I have the following code to plot some data using boxplot. I am looking to know how to plot some background color in the graph. For instance, it will be very good if I could plot grey color background between group 1 and 2. And dark grey color between group 16 and 18. I am appreciate any help. Regards.
dados <- read.table(text = 'subj var time group
1: 0.9995127 PT 0
2: 0.9994366 PT 0
3: 0.9997657 PT 0
4: 0.9996991 PT 0
5: 0.9938514 T1 1
6: 0.9985952 T1 1
7: 0.9989975 T1 1
8: 0.9988476 T1 1
9: 0.9884567 T2 2
10: 0.998 T2 2
11: 0.9900545 T2 2
12: 0.9973228 T2 2
65: 0.9818935 POT1 16
66: 0.9196845 POT1 16
67: 0.8605142 POT1 16
68: 0.8620914 POT1 16
69: 0.9878192 POT2 17
70: 0.9826672 POT2 17
71: 0.9640381 POT2 17
72: 0.8976091 POT2 17
73: 0.9907579 POT3 18
74: 0.9922122 POT3 18
75: 0.9808981 POT3 18
76: 0.8988121 POT3 18', header = T)
library(ggplot2)
library(dplyr)
dados$group <- as.factor(dados$group)
head (dados)
p<-ggplot(dados, aes(x=group, y=var)) + geom_boxplot()
p + scale_x_discrete(breaks=c("0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19","20","21","22"),labels=c("PT","T01", "T02","T03","T04","T05","T06","T07","T08","T09","T10","T11","T12","T13","T14","T15","POT1","POT2","POT3","POT4","POT5","POT6","POT7"))
r ggplot2 colors
edited Mar 6 at 18:17
markus
14.3k11235
asked Mar 6 at 17:37
Thiago PetersenThiago Petersen
31
marked as duplicate by camille, markus, Rui Barradas r
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Mar 6 at 19:06
This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.
add a comment |
This question already has an answer here:
Make the background of a graph different colours in different regions
2 answers
Customize background to highlight ranges of data in ggplot [duplicate]
2 answers
I have the following code to plot some data using boxplot. I am looking to know how to plot some background color in the graph. For instance, it will be very good if I could plot grey color background between group 1 and 2. And dark grey color between group 16 and 18. I am appreciate any help. Regards.
dados <- read.table(text = 'subj var time group
1: 0.9995127 PT 0
2: 0.9994366 PT 0
3: 0.9997657 PT 0
4: 0.9996991 PT 0
5: 0.9938514 T1 1
6: 0.9985952 T1 1
7: 0.9989975 T1 1
8: 0.9988476 T1 1
9: 0.9884567 T2 2
10: 0.998 T2 2
11: 0.9900545 T2 2
12: 0.9973228 T2 2
65: 0.9818935 POT1 16
66: 0.9196845 POT1 16
67: 0.8605142 POT1 16
68: 0.8620914 POT1 16
69: 0.9878192 POT2 17
70: 0.9826672 POT2 17
71: 0.9640381 POT2 17
72: 0.8976091 POT2 17
73: 0.9907579 POT3 18
74: 0.9922122 POT3 18
75: 0.9808981 POT3 18
76: 0.8988121 POT3 18', header = T)
library(ggplot2)
library(dplyr)
dados$group <- as.factor(dados$group)
head (dados)
p<-ggplot(dados, aes(x=group, y=var)) + geom_boxplot()
p + scale_x_discrete(breaks=c("0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19","20","21","22"),labels=c("PT","T01", "T02","T03","T04","T05","T06","T07","T08","T09","T10","T11","T12","T13","T14","T15","POT1","POT2","POT3","POT4","POT5","POT6","POT7"))
r ggplot2 colors
edited Mar 6 at 18:17
markus
14.3k11235
asked Mar 6 at 17:37
Thiago PetersenThiago Petersen
31
This question already has an answer here:
Make the background of a graph different colours in different regions
2 answers
Customize background to highlight ranges of data in ggplot [duplicate]
2 answers
I have the following code to plot some data using boxplot. I am looking to know how to plot some background color in the graph. For instance, it will be very good if I could plot grey color background between group 1 and 2. And dark grey color between group 16 and 18. I am appreciate any help. Regards.
dados <- read.table(text = 'subj var time group
1: 0.9995127 PT 0
2: 0.9994366 PT 0
3: 0.9997657 PT 0
4: 0.9996991 PT 0
5: 0.9938514 T1 1
6: 0.9985952 T1 1
7: 0.9989975 T1 1
8: 0.9988476 T1 1
9: 0.9884567 T2 2
10: 0.998 T2 2
11: 0.9900545 T2 2
12: 0.9973228 T2 2
65: 0.9818935 POT1 16
66: 0.9196845 POT1 16
67: 0.8605142 POT1 16
68: 0.8620914 POT1 16
69: 0.9878192 POT2 17
70: 0.9826672 POT2 17
71: 0.9640381 POT2 17
72: 0.8976091 POT2 17
73: 0.9907579 POT3 18
74: 0.9922122 POT3 18
75: 0.9808981 POT3 18
76: 0.8988121 POT3 18', header = T)
library(ggplot2)
library(dplyr)
dados$group <- as.factor(dados$group)
head (dados)
p<-ggplot(dados, aes(x=group, y=var)) + geom_boxplot()
p + scale_x_discrete(breaks=c("0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19","20","21","22"),labels=c("PT","T01", "T02","T03","T04","T05","T06","T07","T08","T09","T10","T11","T12","T13","T14","T15","POT1","POT2","POT3","POT4","POT5","POT6","POT7"))
This question already has an answer here:
Make the background of a graph different colours in different regions
2 answers
Customize background to highlight ranges of data in ggplot [duplicate]
2 answers
r ggplot2 colors
r ggplot2 colors
edited Mar 6 at 18:17
markus
14.3k11235
asked Mar 6 at 17:37
Thiago PetersenThiago Petersen
31
edited Mar 6 at 18:17
markus
14.3k11235
asked Mar 6 at 17:37
Thiago PetersenThiago Petersen
31
edited Mar 6 at 18:17
markus
14.3k11235
edited Mar 6 at 18:17
markus
14.3k11235
edited Mar 6 at 18:17
markus
14.3k11235
14.3k11235
asked Mar 6 at 17:37
Thiago PetersenThiago Petersen
31
asked Mar 6 at 17:37
Thiago PetersenThiago Petersen
31
asked Mar 6 at 17:37
Thiago PetersenThiago Petersen
31
31
marked as duplicate by camille, markus, Rui Barradas r
Users with the r badge can single-handedly close r questions as duplicates and reopen them as needed.
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This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
Is this close to what you are looking for?
(Assumes you have done the dados data frame post-processing you have above)
dados <-
dados %>%
mutate(
xstart = as.factor(c(rep(1, nrow(.) / 2), rep(16, nrow(.) / 2))),
xend = as.factor(c(rep(2, nrow(.) / 2), rep(18, nrow(.) / 2))),
ystart = -Inf,
yend = Inf
)
p <-
ggplot(dados, aes(x = group, y = var)) +
theme_bw() +
geom_rect(
aes(
xmin = xstart,
xmax = xend,
ymin = ystart,
ymax = yend,
),
fill = c(rep("gray90", nrow(dados) / 2), rep("gray80", nrow(dados) / 2))
) +
geom_boxplot() +
scale_x_discrete(
breaks = as.character(c(0:2, 16:18)),
labels = c("PT", "T01", "T02", "POT1", "POT2", "POT3")
)
p
Although, the darker gray, compromises a bit the visibility of the whiskers, at least in this case.
answered Mar 6 at 18:30
Maria KalimeriMaria Kalimeri
16
Thanks, Maria! Your code helped me a lot =)
– Thiago Petersen
Mar 7 at 19:11
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Is this close to what you are looking for?
(Assumes you have done the dados data frame post-processing you have above)
dados <-
dados %>%
mutate(
xstart = as.factor(c(rep(1, nrow(.) / 2), rep(16, nrow(.) / 2))),
xend = as.factor(c(rep(2, nrow(.) / 2), rep(18, nrow(.) / 2))),
ystart = -Inf,
yend = Inf
)
p <-
ggplot(dados, aes(x = group, y = var)) +
theme_bw() +
geom_rect(
aes(
xmin = xstart,
xmax = xend,
ymin = ystart,
ymax = yend,
),
fill = c(rep("gray90", nrow(dados) / 2), rep("gray80", nrow(dados) / 2))
) +
geom_boxplot() +
scale_x_discrete(
breaks = as.character(c(0:2, 16:18)),
labels = c("PT", "T01", "T02", "POT1", "POT2", "POT3")
)
p
Although, the darker gray, compromises a bit the visibility of the whiskers, at least in this case.
answered Mar 6 at 18:30
Maria KalimeriMaria Kalimeri
16
Thanks, Maria! Your code helped me a lot =)
– Thiago Petersen
Mar 7 at 19:11
add a comment |
Is this close to what you are looking for?
(Assumes you have done the dados data frame post-processing you have above)
dados <-
dados %>%
mutate(
xstart = as.factor(c(rep(1, nrow(.) / 2), rep(16, nrow(.) / 2))),
xend = as.factor(c(rep(2, nrow(.) / 2), rep(18, nrow(.) / 2))),
ystart = -Inf,
yend = Inf
)
p <-
ggplot(dados, aes(x = group, y = var)) +
theme_bw() +
geom_rect(
aes(
xmin = xstart,
xmax = xend,
ymin = ystart,
ymax = yend,
),
fill = c(rep("gray90", nrow(dados) / 2), rep("gray80", nrow(dados) / 2))
) +
geom_boxplot() +
scale_x_discrete(
breaks = as.character(c(0:2, 16:18)),
labels = c("PT", "T01", "T02", "POT1", "POT2", "POT3")
)
p
Although, the darker gray, compromises a bit the visibility of the whiskers, at least in this case.
answered Mar 6 at 18:30
Maria KalimeriMaria Kalimeri
16
Thanks, Maria! Your code helped me a lot =)
– Thiago Petersen
Mar 7 at 19:11
add a comment |
Is this close to what you are looking for?
(Assumes you have done the dados data frame post-processing you have above)
dados <-
dados %>%
mutate(
xstart = as.factor(c(rep(1, nrow(.) / 2), rep(16, nrow(.) / 2))),
xend = as.factor(c(rep(2, nrow(.) / 2), rep(18, nrow(.) / 2))),
ystart = -Inf,
yend = Inf
)
p <-
ggplot(dados, aes(x = group, y = var)) +
theme_bw() +
geom_rect(
aes(
xmin = xstart,
xmax = xend,
ymin = ystart,
ymax = yend,
),
fill = c(rep("gray90", nrow(dados) / 2), rep("gray80", nrow(dados) / 2))
) +
geom_boxplot() +
scale_x_discrete(
breaks = as.character(c(0:2, 16:18)),
labels = c("PT", "T01", "T02", "POT1", "POT2", "POT3")
)
p
Although, the darker gray, compromises a bit the visibility of the whiskers, at least in this case.
answered Mar 6 at 18:30
Maria KalimeriMaria Kalimeri
16
Is this close to what you are looking for?
(Assumes you have done the dados data frame post-processing you have above)
dados <-
dados %>%
mutate(
xstart = as.factor(c(rep(1, nrow(.) / 2), rep(16, nrow(.) / 2))),
xend = as.factor(c(rep(2, nrow(.) / 2), rep(18, nrow(.) / 2))),
ystart = -Inf,
yend = Inf
)
p <-
ggplot(dados, aes(x = group, y = var)) +
theme_bw() +
geom_rect(
aes(
xmin = xstart,
xmax = xend,
ymin = ystart,
ymax = yend,
),
fill = c(rep("gray90", nrow(dados) / 2), rep("gray80", nrow(dados) / 2))
) +
geom_boxplot() +
scale_x_discrete(
breaks = as.character(c(0:2, 16:18)),
labels = c("PT", "T01", "T02", "POT1", "POT2", "POT3")
)
p
Although, the darker gray, compromises a bit the visibility of the whiskers, at least in this case.
answered Mar 6 at 18:30
Maria KalimeriMaria Kalimeri
16
answered Mar 6 at 18:30
Maria KalimeriMaria Kalimeri
16
answered Mar 6 at 18:30
Maria KalimeriMaria Kalimeri
16
answered Mar 6 at 18:30
Maria KalimeriMaria Kalimeri
16
16
Thanks, Maria! Your code helped me a lot =)
– Thiago Petersen
Mar 7 at 19:11
add a comment |
Thanks, Maria! Your code helped me a lot =)
– Thiago Petersen
Mar 7 at 19:11
Thanks, Maria! Your code helped me a lot =)
– Thiago Petersen
Mar 7 at 19:11
Thanks, Maria! Your code helped me a lot =)
– Thiago Petersen
Mar 7 at 19:11
add a comment |
