Aligning the x axis of two plots with different y labels length
2
I have two plots that are located one above the other in a Shiny app.
The two plots have the same x axis, but different y axes.
The width of the x axes is different due to the length of the y axes labels (see image below).
The goal is to align the x axes of the two plots.
Minimal example:
library(shiny)
library(ggplot2)
df <- data.frame(
stringsAsFactors = F,
date = as.Date.factor(c("2010-01-01", "2011-01-01", "2012-01-01")),
var1 = c(1000000, 2000000, 1500000),
var2 = c(10, 15, 20)
)
shinyApp(
ui = fluidPage(
fluidRow(column(4, offset = 4, plotOutput(outputId = "plot1"))),
fluidRow(column(4, offset = 4, plotOutput(outputId = "plot2")))
),
server = function(input, output, session) {
output$plot1 <- renderPlot(
ggplot(data = df, mapping = aes(x = date, y = var1)) +
geom_line() +
scale_x_date(breaks = df$date)
)
output$plot2 <- renderPlot(
ggplot(data = df, mapping = aes(x = date, y = var2)) +
geom_bar(stat = "identity") +
scale_x_date(breaks = df$date)
)
}
)
r ggplot2 shiny
asked Nov 18 '18 at 20:37
yanirmoryanirmor
198111
add a comment |
2
I have two plots that are located one above the other in a Shiny app.
The two plots have the same x axis, but different y axes.
The width of the x axes is different due to the length of the y axes labels (see image below).
The goal is to align the x axes of the two plots.
Minimal example:
library(shiny)
library(ggplot2)
df <- data.frame(
stringsAsFactors = F,
date = as.Date.factor(c("2010-01-01", "2011-01-01", "2012-01-01")),
var1 = c(1000000, 2000000, 1500000),
var2 = c(10, 15, 20)
)
shinyApp(
ui = fluidPage(
fluidRow(column(4, offset = 4, plotOutput(outputId = "plot1"))),
fluidRow(column(4, offset = 4, plotOutput(outputId = "plot2")))
),
server = function(input, output, session) {
output$plot1 <- renderPlot(
ggplot(data = df, mapping = aes(x = date, y = var1)) +
geom_line() +
scale_x_date(breaks = df$date)
)
output$plot2 <- renderPlot(
ggplot(data = df, mapping = aes(x = date, y = var2)) +
geom_bar(stat = "identity") +
scale_x_date(breaks = df$date)
)
}
)
r ggplot2 shiny
asked Nov 18 '18 at 20:37
yanirmoryanirmor
198111
4
Will this help stackoverflow.com/a/48164920/786542?
– Tung
Nov 18 '18 at 20:45
Thanks Tung! It definitely brings me closer. However, I need to use those plots separatly in two different divs. Do you have any idea how can I access them separatly after I'm aligning them? For example, with the patchword package I tried:plots <- p1 + p2 + plot_layout(nrow = 2)and thenplots$assemble$plots, but only the first plot was accessible.
– yanirmor
Nov 19 '18 at 13:09
1
Not sure if you can do that but you can give it a try withgtable. See one example here
– Tung
Nov 19 '18 at 17:48
1
Thank you @Tung! The second link was super useful and completely solved the problem. I'll post the solve below
– yanirmor
Nov 21 '18 at 19:30
my pleasure! well done!
– Tung
Nov 21 '18 at 19:58
add a comment |
2
2
2
I have two plots that are located one above the other in a Shiny app.
The two plots have the same x axis, but different y axes.
The width of the x axes is different due to the length of the y axes labels (see image below).
The goal is to align the x axes of the two plots.
Minimal example:
library(shiny)
library(ggplot2)
df <- data.frame(
stringsAsFactors = F,
date = as.Date.factor(c("2010-01-01", "2011-01-01", "2012-01-01")),
var1 = c(1000000, 2000000, 1500000),
var2 = c(10, 15, 20)
)
shinyApp(
ui = fluidPage(
fluidRow(column(4, offset = 4, plotOutput(outputId = "plot1"))),
fluidRow(column(4, offset = 4, plotOutput(outputId = "plot2")))
),
server = function(input, output, session) {
output$plot1 <- renderPlot(
ggplot(data = df, mapping = aes(x = date, y = var1)) +
geom_line() +
scale_x_date(breaks = df$date)
)
output$plot2 <- renderPlot(
ggplot(data = df, mapping = aes(x = date, y = var2)) +
geom_bar(stat = "identity") +
scale_x_date(breaks = df$date)
)
}
)
r ggplot2 shiny
asked Nov 18 '18 at 20:37
yanirmoryanirmor
198111
I have two plots that are located one above the other in a Shiny app.
The two plots have the same x axis, but different y axes.
The width of the x axes is different due to the length of the y axes labels (see image below).
The goal is to align the x axes of the two plots.
Minimal example:
library(shiny)
library(ggplot2)
df <- data.frame(
stringsAsFactors = F,
date = as.Date.factor(c("2010-01-01", "2011-01-01", "2012-01-01")),
var1 = c(1000000, 2000000, 1500000),
var2 = c(10, 15, 20)
)
shinyApp(
ui = fluidPage(
fluidRow(column(4, offset = 4, plotOutput(outputId = "plot1"))),
fluidRow(column(4, offset = 4, plotOutput(outputId = "plot2")))
),
server = function(input, output, session) {
output$plot1 <- renderPlot(
ggplot(data = df, mapping = aes(x = date, y = var1)) +
geom_line() +
scale_x_date(breaks = df$date)
)
output$plot2 <- renderPlot(
ggplot(data = df, mapping = aes(x = date, y = var2)) +
geom_bar(stat = "identity") +
scale_x_date(breaks = df$date)
)
}
)
r ggplot2 shiny
r ggplot2 shiny
asked Nov 18 '18 at 20:37
yanirmoryanirmor
198111
asked Nov 18 '18 at 20:37
yanirmoryanirmor
198111
asked Nov 18 '18 at 20:37
yanirmoryanirmor
198111
asked Nov 18 '18 at 20:37
yanirmoryanirmor
198111
asked Nov 18 '18 at 20:37
yanirmoryanirmor
198111
198111
4
Will this help stackoverflow.com/a/48164920/786542?
– Tung
Nov 18 '18 at 20:45
Thanks Tung! It definitely brings me closer. However, I need to use those plots separatly in two different divs. Do you have any idea how can I access them separatly after I'm aligning them? For example, with the patchword package I tried:plots <- p1 + p2 + plot_layout(nrow = 2)and thenplots$assemble$plots, but only the first plot was accessible.
– yanirmor
Nov 19 '18 at 13:09
1
Not sure if you can do that but you can give it a try withgtable. See one example here
– Tung
Nov 19 '18 at 17:48
1
Thank you @Tung! The second link was super useful and completely solved the problem. I'll post the solve below
– yanirmor
Nov 21 '18 at 19:30
my pleasure! well done!
– Tung
Nov 21 '18 at 19:58
add a comment |
4
Will this help stackoverflow.com/a/48164920/786542?
– Tung
Nov 18 '18 at 20:45
Thanks Tung! It definitely brings me closer. However, I need to use those plots separatly in two different divs. Do you have any idea how can I access them separatly after I'm aligning them? For example, with the patchword package I tried:plots <- p1 + p2 + plot_layout(nrow = 2)and thenplots$assemble$plots, but only the first plot was accessible.
– yanirmor
Nov 19 '18 at 13:09
1
Not sure if you can do that but you can give it a try withgtable. See one example here
– Tung
Nov 19 '18 at 17:48
1
Thank you @Tung! The second link was super useful and completely solved the problem. I'll post the solve below
– yanirmor
Nov 21 '18 at 19:30
my pleasure! well done!
– Tung
Nov 21 '18 at 19:58
4
4
Will this help stackoverflow.com/a/48164920/786542?
– Tung
Nov 18 '18 at 20:45
Will this help stackoverflow.com/a/48164920/786542?
– Tung
Nov 18 '18 at 20:45
Thanks Tung! It definitely brings me closer. However, I need to use those plots separatly in two different divs. Do you have any idea how can I access them separatly after I'm aligning them? For example, with the patchword package I tried:
plots <- p1 + p2 + plot_layout(nrow = 2) and then plots$assemble$plots, but only the first plot was accessible.– yanirmor
Nov 19 '18 at 13:09
Thanks Tung! It definitely brings me closer. However, I need to use those plots separatly in two different divs. Do you have any idea how can I access them separatly after I'm aligning them? For example, with the patchword package I tried:
plots <- p1 + p2 + plot_layout(nrow = 2) and then plots$assemble$plots, but only the first plot was accessible.– yanirmor
Nov 19 '18 at 13:09
1
1
Not sure if you can do that but you can give it a try with
gtable. See one example here– Tung
Nov 19 '18 at 17:48
Not sure if you can do that but you can give it a try with
gtable. See one example here– Tung
Nov 19 '18 at 17:48
1
1
Thank you @Tung! The second link was super useful and completely solved the problem. I'll post the solve below
– yanirmor
Nov 21 '18 at 19:30
Thank you @Tung! The second link was super useful and completely solved the problem. I'll post the solve below
– yanirmor
Nov 21 '18 at 19:30
my pleasure! well done!
– Tung
Nov 21 '18 at 19:58
my pleasure! well done!
– Tung
Nov 21 '18 at 19:58
add a comment |
1 Answer
1
active
oldest
votes
1
Using the gtable package solved it (credit to @Tung and his answer).
I converted both of the plots to gtables, and then matched their .$widths.
Here is the working code:
library(shiny)
library(ggplot2)
library(grid)
library(gtable)
df <- data.frame(
stringsAsFactors = F,
date = as.Date.factor(c("2010-01-01", "2011-01-01", "2012-01-01")),
var1 = c(1000000, 2000000, 1500000),
var2 = c(10, 15, 20)
)
shinyApp(
ui = fluidPage(
fluidRow(column(4, offset = 4, plotOutput(outputId = "plot1"))),
fluidRow(column(4, offset = 4, plotOutput(outputId = "plot2")))
),
server = function(input, output, session) {
p1_widths <- reactiveVal(value = NULL)
output$plot1 <- renderPlot({
p <- ggplot(data = df, mapping = aes(x = date, y = var1)) +
geom_line() +
scale_x_date(breaks = df$date, expand = c(0, 200.75))
g <- ggplot_gtable(data = ggplot_build(plot = p))
p1_widths(g$widths)
grid.draw(g)
})
output$plot2 <- renderPlot({
p <- ggplot(data = df, mapping = aes(x = date, y = var2)) +
geom_bar(stat = "identity") +
scale_x_date(breaks = df$date, expand = c(0, 36.5))
g <- ggplot_gtable(data = ggplot_build(plot = p))
g$widths <- p1_widths()
grid.draw(g)
})
}
)
answered Nov 21 '18 at 19:35
yanirmoryanirmor
198111
add a comment |
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1 Answer
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1 Answer
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oldest
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oldest
votes
1
Using the gtable package solved it (credit to @Tung and his answer).
I converted both of the plots to gtables, and then matched their .$widths.
Here is the working code:
library(shiny)
library(ggplot2)
library(grid)
library(gtable)
df <- data.frame(
stringsAsFactors = F,
date = as.Date.factor(c("2010-01-01", "2011-01-01", "2012-01-01")),
var1 = c(1000000, 2000000, 1500000),
var2 = c(10, 15, 20)
)
shinyApp(
ui = fluidPage(
fluidRow(column(4, offset = 4, plotOutput(outputId = "plot1"))),
fluidRow(column(4, offset = 4, plotOutput(outputId = "plot2")))
),
server = function(input, output, session) {
p1_widths <- reactiveVal(value = NULL)
output$plot1 <- renderPlot({
p <- ggplot(data = df, mapping = aes(x = date, y = var1)) +
geom_line() +
scale_x_date(breaks = df$date, expand = c(0, 200.75))
g <- ggplot_gtable(data = ggplot_build(plot = p))
p1_widths(g$widths)
grid.draw(g)
})
output$plot2 <- renderPlot({
p <- ggplot(data = df, mapping = aes(x = date, y = var2)) +
geom_bar(stat = "identity") +
scale_x_date(breaks = df$date, expand = c(0, 36.5))
g <- ggplot_gtable(data = ggplot_build(plot = p))
g$widths <- p1_widths()
grid.draw(g)
})
}
)
answered Nov 21 '18 at 19:35
yanirmoryanirmor
198111
add a comment |
1
Using the gtable package solved it (credit to @Tung and his answer).
I converted both of the plots to gtables, and then matched their .$widths.
Here is the working code:
library(shiny)
library(ggplot2)
library(grid)
library(gtable)
df <- data.frame(
stringsAsFactors = F,
date = as.Date.factor(c("2010-01-01", "2011-01-01", "2012-01-01")),
var1 = c(1000000, 2000000, 1500000),
var2 = c(10, 15, 20)
)
shinyApp(
ui = fluidPage(
fluidRow(column(4, offset = 4, plotOutput(outputId = "plot1"))),
fluidRow(column(4, offset = 4, plotOutput(outputId = "plot2")))
),
server = function(input, output, session) {
p1_widths <- reactiveVal(value = NULL)
output$plot1 <- renderPlot({
p <- ggplot(data = df, mapping = aes(x = date, y = var1)) +
geom_line() +
scale_x_date(breaks = df$date, expand = c(0, 200.75))
g <- ggplot_gtable(data = ggplot_build(plot = p))
p1_widths(g$widths)
grid.draw(g)
})
output$plot2 <- renderPlot({
p <- ggplot(data = df, mapping = aes(x = date, y = var2)) +
geom_bar(stat = "identity") +
scale_x_date(breaks = df$date, expand = c(0, 36.5))
g <- ggplot_gtable(data = ggplot_build(plot = p))
g$widths <- p1_widths()
grid.draw(g)
})
}
)
answered Nov 21 '18 at 19:35
yanirmoryanirmor
198111
add a comment |
1
1
1
Using the gtable package solved it (credit to @Tung and his answer).
I converted both of the plots to gtables, and then matched their .$widths.
Here is the working code:
library(shiny)
library(ggplot2)
library(grid)
library(gtable)
df <- data.frame(
stringsAsFactors = F,
date = as.Date.factor(c("2010-01-01", "2011-01-01", "2012-01-01")),
var1 = c(1000000, 2000000, 1500000),
var2 = c(10, 15, 20)
)
shinyApp(
ui = fluidPage(
fluidRow(column(4, offset = 4, plotOutput(outputId = "plot1"))),
fluidRow(column(4, offset = 4, plotOutput(outputId = "plot2")))
),
server = function(input, output, session) {
p1_widths <- reactiveVal(value = NULL)
output$plot1 <- renderPlot({
p <- ggplot(data = df, mapping = aes(x = date, y = var1)) +
geom_line() +
scale_x_date(breaks = df$date, expand = c(0, 200.75))
g <- ggplot_gtable(data = ggplot_build(plot = p))
p1_widths(g$widths)
grid.draw(g)
})
output$plot2 <- renderPlot({
p <- ggplot(data = df, mapping = aes(x = date, y = var2)) +
geom_bar(stat = "identity") +
scale_x_date(breaks = df$date, expand = c(0, 36.5))
g <- ggplot_gtable(data = ggplot_build(plot = p))
g$widths <- p1_widths()
grid.draw(g)
})
}
)
answered Nov 21 '18 at 19:35
yanirmoryanirmor
198111
Using the gtable package solved it (credit to @Tung and his answer).
I converted both of the plots to gtables, and then matched their .$widths.
Here is the working code:
library(shiny)
library(ggplot2)
library(grid)
library(gtable)
df <- data.frame(
stringsAsFactors = F,
date = as.Date.factor(c("2010-01-01", "2011-01-01", "2012-01-01")),
var1 = c(1000000, 2000000, 1500000),
var2 = c(10, 15, 20)
)
shinyApp(
ui = fluidPage(
fluidRow(column(4, offset = 4, plotOutput(outputId = "plot1"))),
fluidRow(column(4, offset = 4, plotOutput(outputId = "plot2")))
),
server = function(input, output, session) {
p1_widths <- reactiveVal(value = NULL)
output$plot1 <- renderPlot({
p <- ggplot(data = df, mapping = aes(x = date, y = var1)) +
geom_line() +
scale_x_date(breaks = df$date, expand = c(0, 200.75))
g <- ggplot_gtable(data = ggplot_build(plot = p))
p1_widths(g$widths)
grid.draw(g)
})
output$plot2 <- renderPlot({
p <- ggplot(data = df, mapping = aes(x = date, y = var2)) +
geom_bar(stat = "identity") +
scale_x_date(breaks = df$date, expand = c(0, 36.5))
g <- ggplot_gtable(data = ggplot_build(plot = p))
g$widths <- p1_widths()
grid.draw(g)
})
}
)
answered Nov 21 '18 at 19:35
yanirmoryanirmor
198111
answered Nov 21 '18 at 19:35
yanirmoryanirmor
198111
answered Nov 21 '18 at 19:35
yanirmoryanirmor
198111
answered Nov 21 '18 at 19:35
yanirmoryanirmor
198111
198111
add a comment |
add a comment |
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4
Will this help stackoverflow.com/a/48164920/786542?
– Tung
Nov 18 '18 at 20:45
Thanks Tung! It definitely brings me closer. However, I need to use those plots separatly in two different divs. Do you have any idea how can I access them separatly after I'm aligning them? For example, with the patchword package I tried:
plots <- p1 + p2 + plot_layout(nrow = 2)and thenplots$assemble$plots, but only the first plot was accessible.– yanirmor
Nov 19 '18 at 13:09
1
Not sure if you can do that but you can give it a try with
gtable. See one example here– Tung
Nov 19 '18 at 17:48
1
Thank you @Tung! The second link was super useful and completely solved the problem. I'll post the solve below
– yanirmor
Nov 21 '18 at 19:30
my pleasure! well done!
– Tung
Nov 21 '18 at 19:58