ggplot Multiple facets and combined x axis
I am trying to create a plot to track results over days for multiple factors. Ideally I would like my xaxis to be Day, with the day number centered in the middle of the reps for that particular day, the y axis to be result, and the facet will be the Lot (1-4). I am having difficulty making the day centered on the bottom using repeatable text, as the number of reps may vary.
I was using ideas shown in this post: Multi-row x-axis labels in ggplot line chart but have been unable to make any progress.
Here is some code I have been using and the plot that I have so far. The x axis is far too busy and I am trying to consolidate it.
data <- data.frame(System = rep(c("A", "B"), each = 120), Lot = rep(1:4, each = 30),
Day = rep(1:5, each = 6), Rep = rep(1:6, 40), Result = rnorm(240))
library(ggplot2)
ggplot(data, aes(x = interaction(Day, Rep, lex.order = TRUE), y = Result, color = System, group = System)) +
geom_point() +
geom_line() +
theme(legend.position = "bottom") +
facet_wrap(~Lot, ncol = 1) +
geom_vline(xintercept = (which(data$Rep == 1 & data$Day != 1)), color = "gray60")
r ggplot2 axis facet
add a comment |
I am trying to create a plot to track results over days for multiple factors. Ideally I would like my xaxis to be Day, with the day number centered in the middle of the reps for that particular day, the y axis to be result, and the facet will be the Lot (1-4). I am having difficulty making the day centered on the bottom using repeatable text, as the number of reps may vary.
I was using ideas shown in this post: Multi-row x-axis labels in ggplot line chart but have been unable to make any progress.
Here is some code I have been using and the plot that I have so far. The x axis is far too busy and I am trying to consolidate it.
data <- data.frame(System = rep(c("A", "B"), each = 120), Lot = rep(1:4, each = 30),
Day = rep(1:5, each = 6), Rep = rep(1:6, 40), Result = rnorm(240))
library(ggplot2)
ggplot(data, aes(x = interaction(Day, Rep, lex.order = TRUE), y = Result, color = System, group = System)) +
geom_point() +
geom_line() +
theme(legend.position = "bottom") +
facet_wrap(~Lot, ncol = 1) +
geom_vline(xintercept = (which(data$Rep == 1 & data$Day != 1)), color = "gray60")
r ggplot2 axis facet
add a comment |
I am trying to create a plot to track results over days for multiple factors. Ideally I would like my xaxis to be Day, with the day number centered in the middle of the reps for that particular day, the y axis to be result, and the facet will be the Lot (1-4). I am having difficulty making the day centered on the bottom using repeatable text, as the number of reps may vary.
I was using ideas shown in this post: Multi-row x-axis labels in ggplot line chart but have been unable to make any progress.
Here is some code I have been using and the plot that I have so far. The x axis is far too busy and I am trying to consolidate it.
data <- data.frame(System = rep(c("A", "B"), each = 120), Lot = rep(1:4, each = 30),
Day = rep(1:5, each = 6), Rep = rep(1:6, 40), Result = rnorm(240))
library(ggplot2)
ggplot(data, aes(x = interaction(Day, Rep, lex.order = TRUE), y = Result, color = System, group = System)) +
geom_point() +
geom_line() +
theme(legend.position = "bottom") +
facet_wrap(~Lot, ncol = 1) +
geom_vline(xintercept = (which(data$Rep == 1 & data$Day != 1)), color = "gray60")
r ggplot2 axis facet
I am trying to create a plot to track results over days for multiple factors. Ideally I would like my xaxis to be Day, with the day number centered in the middle of the reps for that particular day, the y axis to be result, and the facet will be the Lot (1-4). I am having difficulty making the day centered on the bottom using repeatable text, as the number of reps may vary.
I was using ideas shown in this post: Multi-row x-axis labels in ggplot line chart but have been unable to make any progress.
Here is some code I have been using and the plot that I have so far. The x axis is far too busy and I am trying to consolidate it.
data <- data.frame(System = rep(c("A", "B"), each = 120), Lot = rep(1:4, each = 30),
Day = rep(1:5, each = 6), Rep = rep(1:6, 40), Result = rnorm(240))
library(ggplot2)
ggplot(data, aes(x = interaction(Day, Rep, lex.order = TRUE), y = Result, color = System, group = System)) +
geom_point() +
geom_line() +
theme(legend.position = "bottom") +
facet_wrap(~Lot, ncol = 1) +
geom_vline(xintercept = (which(data$Rep == 1 & data$Day != 1)), color = "gray60")
r ggplot2 axis facet
r ggplot2 axis facet
edited Nov 12 at 23:49
Richard Telford
5,80242335
5,80242335
asked Nov 12 at 20:39
kr32
83
83
add a comment |
add a comment |
1 Answer
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votes
I'm not 100% sure if this is exactly what you are after but this will center the day on the x-axis.
library(dplyr)
library(tidyr)
library(ggplot2)
df <- data.frame(System = rep(c("A", "B"), each = 120), Lot = rep(1:4, each = 30),
Day = rep(1:5, each = 6), Rep = rep(1:6, 40), Result = rnorm(240))
df <- df %>%
unite(Day_Rep, Day, Rep, sep = ".", remove = F) %>%
mutate(Day_Rep = as.numeric(Day_Rep))
ggplot(df, aes(x = Day_Rep, y = Result, color = System, group = System)) +
geom_point() +
geom_line() +
theme(legend.position = "bottom") +
facet_wrap(~Lot, ncol = 1) +
scale_x_continuous(labels = df$Day, breaks = df$Day + 0.5)+
geom_vline(xintercept = setdiff(unique(df$Day), 1))
This does exactly what I need it to, thank you!
– kr32
Nov 13 at 12:58
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
I'm not 100% sure if this is exactly what you are after but this will center the day on the x-axis.
library(dplyr)
library(tidyr)
library(ggplot2)
df <- data.frame(System = rep(c("A", "B"), each = 120), Lot = rep(1:4, each = 30),
Day = rep(1:5, each = 6), Rep = rep(1:6, 40), Result = rnorm(240))
df <- df %>%
unite(Day_Rep, Day, Rep, sep = ".", remove = F) %>%
mutate(Day_Rep = as.numeric(Day_Rep))
ggplot(df, aes(x = Day_Rep, y = Result, color = System, group = System)) +
geom_point() +
geom_line() +
theme(legend.position = "bottom") +
facet_wrap(~Lot, ncol = 1) +
scale_x_continuous(labels = df$Day, breaks = df$Day + 0.5)+
geom_vline(xintercept = setdiff(unique(df$Day), 1))
This does exactly what I need it to, thank you!
– kr32
Nov 13 at 12:58
add a comment |
I'm not 100% sure if this is exactly what you are after but this will center the day on the x-axis.
library(dplyr)
library(tidyr)
library(ggplot2)
df <- data.frame(System = rep(c("A", "B"), each = 120), Lot = rep(1:4, each = 30),
Day = rep(1:5, each = 6), Rep = rep(1:6, 40), Result = rnorm(240))
df <- df %>%
unite(Day_Rep, Day, Rep, sep = ".", remove = F) %>%
mutate(Day_Rep = as.numeric(Day_Rep))
ggplot(df, aes(x = Day_Rep, y = Result, color = System, group = System)) +
geom_point() +
geom_line() +
theme(legend.position = "bottom") +
facet_wrap(~Lot, ncol = 1) +
scale_x_continuous(labels = df$Day, breaks = df$Day + 0.5)+
geom_vline(xintercept = setdiff(unique(df$Day), 1))
This does exactly what I need it to, thank you!
– kr32
Nov 13 at 12:58
add a comment |
I'm not 100% sure if this is exactly what you are after but this will center the day on the x-axis.
library(dplyr)
library(tidyr)
library(ggplot2)
df <- data.frame(System = rep(c("A", "B"), each = 120), Lot = rep(1:4, each = 30),
Day = rep(1:5, each = 6), Rep = rep(1:6, 40), Result = rnorm(240))
df <- df %>%
unite(Day_Rep, Day, Rep, sep = ".", remove = F) %>%
mutate(Day_Rep = as.numeric(Day_Rep))
ggplot(df, aes(x = Day_Rep, y = Result, color = System, group = System)) +
geom_point() +
geom_line() +
theme(legend.position = "bottom") +
facet_wrap(~Lot, ncol = 1) +
scale_x_continuous(labels = df$Day, breaks = df$Day + 0.5)+
geom_vline(xintercept = setdiff(unique(df$Day), 1))
I'm not 100% sure if this is exactly what you are after but this will center the day on the x-axis.
library(dplyr)
library(tidyr)
library(ggplot2)
df <- data.frame(System = rep(c("A", "B"), each = 120), Lot = rep(1:4, each = 30),
Day = rep(1:5, each = 6), Rep = rep(1:6, 40), Result = rnorm(240))
df <- df %>%
unite(Day_Rep, Day, Rep, sep = ".", remove = F) %>%
mutate(Day_Rep = as.numeric(Day_Rep))
ggplot(df, aes(x = Day_Rep, y = Result, color = System, group = System)) +
geom_point() +
geom_line() +
theme(legend.position = "bottom") +
facet_wrap(~Lot, ncol = 1) +
scale_x_continuous(labels = df$Day, breaks = df$Day + 0.5)+
geom_vline(xintercept = setdiff(unique(df$Day), 1))
answered Nov 12 at 22:14
TBT8
541158
541158
This does exactly what I need it to, thank you!
– kr32
Nov 13 at 12:58
add a comment |
This does exactly what I need it to, thank you!
– kr32
Nov 13 at 12:58
This does exactly what I need it to, thank you!
– kr32
Nov 13 at 12:58
This does exactly what I need it to, thank you!
– kr32
Nov 13 at 12:58
add a comment |
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