我正在尝试将绘图标题的格式设置facet_wrap为与构面条带的样式一致。在下面的绘图中，我添加了标题“len”，但它的格式看起来与右侧构面条带（例如 0.5、1、2）的格式不同。如何使标题看起来像构面条带（例如，灰色矩形框、黑色轮廓、文本沿绘图宽度居中等）？
library(tidyverse)
ToothGrowth |>
ggplot(aes(x = dose, y = len)) +
geom_boxplot(aes(fill = supp)) +
labs(title = 'len',
y = NULL) +
theme_bw() +
facet_wrap(~dose, ncol = 1, strip.position = "right")
创建于 2025-04-28，使用reprex v2.1.1
使用时，如何调整图例颜色栏高度以匹配图的高度facet_wrap()？此相关 SO 问题为单个图提供了一个很好的解决方案，但当存在多个图时，颜色栏会延伸到构面换行标题和轴文本的一半。我希望颜色栏仅从构面换行标题的底部延伸到轴文本的顶部。
library(tidyverse)
library(ggcorrplot)
library(reshape2)
iris %>%
group_by(Species) %>%
summarise(correlation = list(cor(across(where(is.numeric))))) %>%
ungroup() %>%
mutate(correlation_df = map(correlation, ~ melt(.x, varnames = c("Var1", "Var2")))) %>%
select(Species, correlation_df) %>%
unnest(correlation_df) %>%
ggplot(aes(x = Var1, y = Var2, fill = value)) +
geom_tile() +
scale_fill_gradient2(limit = c(-1, 1)) +
labs(x = NULL,
y = NULL,
fill = NULL) +
theme_bw() +
facet_wrap(~Species)
make_fullsize <- function() structure("", class = "fullsizebar")
ggplot_add.fullsizebar <- function(obj, g, name = "fullsizebar") {
h <- ggplotGrob(g)$heights
panel <- which(grid::unitType(h) == "null")
panel_height <- unit(1, "npc") - sum(h[-panel])
g +
guides(fill = guide_colorbar(barheight = panel_height,
title.position = "right")) +
theme(legend.title = element_text(angle = -90, hjust = 0.5))
}
iris %>%
group_by(Species) %>%
summarise(correlation = list(cor(across(where(is.numeric))))) %>%
ungroup() %>%
mutate(correlation_df = map(correlation, ~ melt(.x, varnames = c("Var1", "Var2")))) %>%
select(Species, correlation_df) %>%
unnest(correlation_df) %>%
ggplot(aes(x = Var1, y = Var2, fill = value)) +
geom_tile() +
scale_fill_gradient2(limit = c(-1, 1)) +
labs(x = NULL,
y = NULL,
fill = NULL) +
theme_bw() +
coord_cartesian(expand = FALSE) +
make_fullsize() +
facet_wrap(~Species)
创建于 2024-12-30，使用reprex v2.1.1
panel_height，panel_height <- unit(0.95...这提供了一个接近但不精确的答案。当将图放大/缩小时，这个答案也无法很好地扩展。
我正在尝试更改使用 制作的两个图的标题facet_wrap()，其中一个图具有大于或等于符号 ( >=)。我可以让图解析标题，但只要我将 >= 符号放在括号中，标题就会解析失败。当 >= 符号在括号中时，如何让标题进行解析？
library(tidyverse)
mtcars %>%
mutate(size = ifelse(hp >= 100, 'greater', 'lesser'),
size = factor(size, levels = c("greater", "lesser"),
labels = c("Horsepower >= 100", "Horsepower < 100"))) %>%
ggplot(aes(x = mpg, y = wt)) +
geom_point() +
theme_bw() +
facet_wrap(~size, labeller = label_parsed)
mtcars %>%
mutate(size = ifelse(hp >= 100, 'greater', 'lesser'),
size = factor(size, levels = c("greater", "lesser"),
labels = c("Horsepower (>= 100)", "Horsepower (< 100)"))) %>%
ggplot(aes(x = mpg, y = wt)) +
geom_point() +
theme_bw() +
facet_wrap(~size, labeller = label_parsed)
#> Error in parse(text = as.character(values)): <text>:1:13: unexpected '>='
#> 1: Horsepower (>=
#> ^
创建于 2024-11-18，使用reprex v2.1.1
在下图中，我希望图例显示变量“颜色”的填充颜色。我还希望图中的所有点都有黑色轮廓。似乎我可以做其中之一，但不能同时做两者（即图例有颜色，点有黑色轮廓）。我选择了有黑色轮廓的形状，如“剪切”图例中所示。
类似的问题：
library(tidyverse)
diamonds %>%
slice(1:20) %>%
ggplot(aes(x = x,
y = y,
shape = cut,
fill = color)) +
geom_point(size = 3,
alpha = 0.8) +
scale_shape_manual(values = c('Ideal' = 21,
'Premium' = 22,
'Good' = 23,
'Very Good' = 24,
'Fair' = 25)) +
scale_fill_manual(values = c('E' = '#ca0020',
'F' = '#f4a582',
'H' = '#ffffbf',
'I' = '#92c5de',
'J' = '#0571b0')) +
theme_bw()
diamonds %>%
slice(1:20) %>%
ggplot(aes(x = x,
y = y,
shape = cut,
fill = color,
color = color)) +
geom_point(size = 3,
alpha = 0.8) +
scale_shape_manual(values = c('Ideal' = 21,
'Premium' = 22,
'Good' = 23,
'Very Good' = 24,
'Fair' = 25)) +
scale_fill_manual(values = c('E' = '#ca0020',
'F' = '#f4a582',
'H' = '#ffffbf',
'I' = '#92c5de',
'J' = '#0571b0')) +
scale_color_manual(values = c('E' = '#ca0020',
'F' = '#f4a582',
'H' = '#ffffbf',
'I' = '#92c5de',
'J' = '#0571b0')) +
theme_bw()
diamonds %>%
slice(1:20) %>%
ggplot(aes(x = x,
y = y,
shape = cut,
fill = color,
color = color)) +
geom_point(size = 3.5,
alpha = 0.5,
color = 'black') +
geom_point(size = 3,
alpha = 0.8) +
scale_shape_manual(values = c('Ideal' = 21,
'Premium' = 22,
'Good' = 23,
'Very Good' = 24,
'Fair' = 25)) +
scale_fill_manual(values = c('E' = '#ca0020',
'F' = '#f4a582',
'H' = '#ffffbf',
'I' = '#92c5de',
'J' = '#0571b0')) +
scale_color_manual(values = c('E' = '#ca0020',
'F' = '#f4a582',
'H' = '#ffffbf',
'I' = '#92c5de',
'J' = '#0571b0')) +
theme_bw()
创建于 2024-11-13，使用reprex v2.1.1
我正在尝试自定义使用该包制作的相关矩阵上的标签ggcorrplot。但是，我无法使上标或下标格式正常工作。如何在不使用 Unicode 字符的情况下使标签正确显示？
library(tidyverse)
library(ggcorrplot)
# Example Data
M <- cor(mtcars)[1:3,1:3]
# Attempt 1: Not formatted correctly
colnames(M) <- c("Temperature\n (^o C)", "PO[4]^2", "Oxygen\n (mg L^-1)")
rownames(M) <- c("Temperature\n (^o C)", "PO[4]^2", "Oxygen\n (mg L^-1)")
ggcorrplot(M,
type = "lower",
lab = TRUE,
ggtheme = theme_bw())
# Attempt 2: Produces error message
ggcorrplot(M,
type = "lower",
lab = TRUE,
scale_x_discrete(labels = c("mpg" = expression(Temperature~(degree*C)),
"cyl" = expression(PO[4]^2),
"disp" = expression(Oxygen~(mg~L^-1)))),
scale_y_discrete(labels = c("mpg" = expression(Temperature~(degree*C)),
"cyl" = expression(PO[4]^2),
"disp" = expression(Oxygen~(mg~L^-1)))),
ggtheme = theme_bw())
#> Error in match.arg(method): 'arg' must be NULL or a character vector
创建于 2024-04-23，使用reprex v2.1.0
我正在用来ggplot制作一个三面板人物。我想facet_wrap按州并在标签中包含城市名称，但是，当我这样做时，州和城市名称之间会出现一条水平线。如何去掉水平线？
library(tidyverse)
set.seed(333)
# Example dataset
df <- data.frame(
state = c("North Carolina","North Carolina","North Carolina",
"North Carolina","North Carolina","North Carolina",
"Virginia","Virginia","Virginia"),
city = c("Boone","Boone","Boone",
"Elizabeth City","Elizabeth City","Elizabeth City",
"Norfolk","Norfolk","Norfolk"),
year = rep(seq(2000,2004,2),3),
value = round(rnorm(9,100,50))
)
# Example plot (how can I remove the horizontal line between the state and city labels?)
df %>%
ggplot(aes(x = year, y = value)) +
geom_point() +
theme_bw() +
facet_wrap(~state+city)
创建于 2024-04-19，使用reprex v2.1.0
我制作了一个具有不连续 x 轴的时间序列，但是，我只知道当 x 轴是一个因素时如何制作此类图Date。这导致的问题是，图中的点与表明这些点是在当月第一天收集的因素一致，但事实并非如此。有什么方法可以使点与实际对齐，Date同时保持 x 轴不连续？
例子
library(tidyverse)
library(grid)
set.seed(333)
# Create example dataset
df <- data.frame(
Group = c('A','A','A','A','A','A','B','B','B','B','B','B'),
Date = rep(c('2021-07-13','2021-08-22','2021-09-04','2022-06-20','2022-07-08','2022-08-25'), 2),
Value = round(rnorm(12,50,20)))
# Do some data wrangling
df <- df %>%
mutate(Date = as.Date(Date),
year = year(Date),
mon = month(Date),
mon_abb = month.abb[mon],
monYear = paste(mon_abb,year, sep = ' ')) %>%
select(!c(mon,year,mon_abb))
# Will need the month abbreviation
sample_dates <- unique(df$monYear)
# Make figure
# Note: the points align on the month but I would like them to
# align with the actual calendar Date (i.e., all points would move
# to the right because none were collected on the 1st of the month)
ggplot(data = df, aes(x = factor(Date), y = Value, group = Group)) +
geom_point(aes(fill = Group), size = 3, shape = 21, color = "black") +
scale_x_discrete(labels = substr(sample_dates, 1, 3)) + # Pulls the month abb. for x-axis label
xlab("") +
theme_bw() +
theme(plot.margin = unit(c(1, 1, 2, 1), "lines"),
axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1),
legend.position = 'right',
panel.border = element_blank()) +
guides(fill = guide_legend(nrow = 2)) +
coord_cartesian(clip = 'off', ylim = c(0, 100)) +
annotation_custom(rectGrob(gp = gpar(fill = NA))) +
annotate(geom = "text", x = 2, y = -16, label = 2021, size = 4.5) +
annotate(geom = "text", x = 5, y = -16, label = 2022, size = 4.5) +
annotate(geom = 'rect', xmin = 3.4, xmax = 3.6, ymin = -10, ymax = -3, fill = 'white') +
annotate(geom = 'segment', x = c(3.4,3.6), xend = c(3.4,3.6), y = -8, yend = -3)
创建于 2024-04-04，使用reprex v2.0.2
我有一个数据框，其中的日期时间列以 4 小时为间隔。当时间部分应该是00:00:00（小时：分钟：秒）时，日期中缺少时间。当时间缺失时如何添加00:00:00日期？
示例数据
dat <- data.frame(
dateTime = c('2016-07-01',
'2016-07-01 04:00:00',
'2016-07-01 08:00:00',
'2016-07-01 12:00:00',
'2016-07-01 16:00:00',
'2016-07-01 20:00:00',
'2016-07-02')
)
str(dat)
#> 'data.frame': 7 obs. of 1 variable:
#> $ dateTime: chr "2016-07-01" "2016-07-01 04:00:00" "2016-07-01 08:00:00" "2016-07-01 12:00:00" ...
dat
#> dateTime
#> 1 2016-07-01
#> 2 2016-07-01 04:00:00
#> 3 2016-07-01 08:00:00
#> 4 2016-07-01 12:00:00
#> 5 2016-07-01 16:00:00
#> 6 2016-07-01 20:00:00
#> 7 2016-07-02
不过，我可以在下面使用它，我的真实数据集缺少行，所以我正在寻找一种替代方案，可以00:00:00在没有时间时添加。
library(tidyverse)
dat <- dat %>%
mutate(dateTime_cor = seq(from = as.POSIXct("2016-07-01 00:00:00"),
to = as.POSIXct("2016-07-02 00:00:00"),
by = "4 hours")) %>%
select(-dateTime)
str(dat)
#> 'data.frame': 7 obs. of 1 variable:
#> $ dateTime_cor: POSIXct, format: "2016-07-01 00:00:00" "2016-07-01 04:00:00" ...
dat
#> dateTime_cor
#> 1 2016-07-01 00:00:00
#> 2 2016-07-01 04:00:00
#> 3 2016-07-01 08:00:00
#> 4 2016-07-01 12:00:00
#> 5 2016-07-01 16:00:00
#> 6 2016-07-01 20:00:00
#> 7 2016-07-02 00:00:00
创建于 2024-01-16，使用reprex v2.0.2
我正在 Rstudio 中开发一个闪亮的应用程序。该应用程序创建两个图 - 时间序列和散点图。绘制的变量是Water Temperature和Air Temperature。时间序列图可以毫无问题地处理变量名称中的空格，但是，与变量名称关联的散点图出现错误。
错误是：
Warning: Error in parse: <text>:1:7: unexpected symbol
1: Water Temperature
^
或者
Warning: Error in parse: <text>:1:5: unexpected symbol
1: Air Temperature
^
我怀疑这些错误与水/空气和温度之间的空间有关。保留空格而不是用下划线或其他空格填充符替换它至关重要。制作散点图时如何保持变量名称中的空格？
library(tidyverse)
library(shiny)
library(shinydashboard)
# Create example dataset
set.seed(123)
dat <- data.frame(
Time = rep(seq(1,10,1), times = 2),
Site = rep(c('A', 'B'), each = 10),
Water_Temperature = round(rnorm(20, mean = 20, sd = 5)),
Air_Temperature = round(rnorm(20, mean = 25, sd = 3))
)
dat <- dat %>%
rename(`Water Temperature` = Water_Temperature,
`Air Temperature` = Air_Temperature)
dat_long <- dat %>%
pivot_longer(cols = c("Water Temperature","Air Temperature"),
names_to = 'Variable',
values_to = 'Value') %>%
arrange(Site, Time)
# Define user interface for time series and scatterplot
ui.R <- dashboardPage(
dashboardHeader(title = "Example", titleWidth = 350),
dashboardSidebar(
tags$head(
tags$style(
HTML("
.sidebar-footer {
text-align: center;
}
.sidebar-logo {
display: flex;
align-items: center;
justify-content: center;
}
.sidebar-menu a span {
font-size: 24px;
}
")
)
),
sidebarMenu(
menuItem("Time Series", tabName = "time_series", icon = icon("chart-line")),
menuItem("Scatterplot", tabName = "scatter_plot", icon = icon("chart-line"))
)
),
dashboardBody(
tabItems(
tabItem(
tabName = "time_series",
fluidRow(
box(
title = "Time Series",
status = "primary",
solidHeader = TRUE,
width = 2,
selectInput("siteInput", "Select Site", choices = unique(dat_long$Site)),
selectInput("variableInput", "Select Variable", choices = unique(dat_long$Variable))
),
box(
title = "Plot",
status = "primary",
solidHeader = TRUE,
width = 10,
plotOutput("timeSeriesPlot", height = "700px")
)
)
),
tabItem(
tabName = "scatter_plot",
fluidRow(
box(
title = "Scatterplot",
status = "primary",
solidHeader = TRUE,
width = 2,
selectInput("siteInput2", "Select Site", choices = unique(dat_long$Site)),
selectInput("xAxisInput", "Select X-axis Variable:", choices = unique(dat_long$Variable)),
selectInput("yAxisInput", "Select Y-axis Variable:", choices = unique(dat_long$Variable))
),
box(
title = "Plot",
status = "primary",
solidHeader = TRUE,
width = 10,
plotOutput("scatterPlot", height = "700px")
)
)
),
tabItem(
tabName = "site_info",
fluidPage(
fluidRow(
selectInput("siteInput3", "Select Site", choices = unique(dat_long$Site)),
column(4, dataTableOutput('table'))
)
)
)
)
)
)
# Define server
server.R <- function(input, output) {
output$timeSeriesPlot <- renderPlot({
filteredData <- dat_long %>%
filter(Site == input$siteInput, Variable == input$variableInput)
variableName <- unique(filteredData$Variable)
yLabel <- ifelse(variableName == "Water Temperature", expression(Water~Temperature~(degree*C)),
ifelse(variableName == "Air Temperature", expression(Air~Temperature~(degree*C))))
ggplot(filteredData, aes(x = Time, y = Value)) +
geom_line() +
geom_point() +
scale_x_continuous(breaks = seq(1,10,1)) +
labs(x = "", y = yLabel,
title = paste('Site:', input$siteInput)) +
theme_bw()
})
output$scatterPlot <- renderPlot({
filteredData2 <- dat_long %>%
filter(Site == input$siteInput2)
# Create a reactive label to display the units for the selected variable on the x and y axes
xLabel <- reactive({
switch(input$xAxisInput[1],
`Air Temperature` = expression(Air~Temperature~(degree*C)),
`Water Temperature` = expression(Water~Temperature~(degree*C)))
})
yLabel <- reactive({
switch(input$yAxisInput[1],
`Air Temperature` = expression(Air~Temperature~(degree*C)),
`Water Temperature` = expression(Water~Temperature~(degree*C)))
})
ggplot(filteredData2, aes_string(x = input$xAxisInput, y = input$yAxisInput)) +
geom_point() +
labs(x = xLabel(), y = yLabel(),
title = paste('Site:', input$siteInput2)) +
theme_bw()
})
}
# Run the application
shinyApp(ui = ui.R, server = server.R)
时间序列图有效
散点图无效
我正在尝试制作一个闪亮的应用程序，允许用户为散点图的 x 轴和 y 轴选择一个组 ( cut) 和一个变量（即depth、table或）。price下面的 UI 代码可以很好地允许用户进行选择，但是，我在服务器方面遇到了问题。我认为问题在于将 UI 选择过滤到两个数据框中，然后使用rbind()它们来组合它们，但我不知道另一种继续进行的方法。
如何对ggplot()用户对 x 轴和 y 轴的两个选择做出反应？
例子：
library(shiny)
library(tidyverse)
dat <- diamonds %>%
select(cut,depth,table,price) %>%
pivot_longer(cols = c('depth','table','price'),
names_to = 'Variable',
values_to = 'Value')
ui <- fluidPage(
selectInput("x_cut", "X-axis Cut", choices = unique(dat$cut)),
selectInput("x_variable", "X-axis Variable", choices = unique(dat$Variable)),
selectInput("y_cut", "Y-axis Cut", choices = unique(dat$cut)),
selectInput("y_variable", "Y-axis Variable", choices = unique(dat$Variable)),
plotOutput("plot")
)
server <- function(input, output) {
output$plot <- renderPlot({
filtered_xdat <- dat %>%
filter(cut == input$x_cut, Variable == input$x_variable)
filtered_ydat <- dat %>%
filter(cut == input$y_cut, Variable == input$y_variable)
filtered_dat <- rbind(filtered_xdat, filtered_ydat)
filtered_dat %>%
ggplot() +
geom_point(aes(x = input$x_variable,
y = input$y_variable)) +
geom_point()
})
}
shinyApp(ui, server)
# Warning: Error in geom_point: Problem while setting up geom.
# ℹ Error occurred in the 2nd layer.
# Caused by error in `compute_geom_1()`:
# ! `geom_point()` requires the following missing aesthetics: x and y
我已经尝试过这个：
server <- function(input, output) {
output$plot <- renderPlot({
filtered_xdat <- dat %>%
filter(cut == input$x_cut,
xVariable == input$x_variable) %>%
as.data.frame()
filtered_ydat <- dat %>%
filter(cut == input$y_cut,
yVariable == input$y_variable) %>%
as.data.frame()
ggplot() +
geom_point(aes(x = filtered_xdat$xVariable, y = filtered_ydat$yVariable)) +
theme_minimal()
})
}
# Warning: Error in filter: ℹ In argument: `xVariable == input$x_variable`.
# Caused by error:
# ! object 'xVariable' not found
还有这个：
server <- function(input, output) {
output$plot <- renderPlot({
filtered_dat <- dat %>%
filter(cut %in% c(input$x_cut, input$y_cut),
Variable %in% c(input$x_variable, input$y_variable))
ggplot(data = filtered_dat, aes(x = !!sym(input$x_variable), y = !!sym(input$y_variable))) +
geom_point() +
theme_minimal()
})
}
# Warning: Error in geom_point: Problem while computing aesthetics.
# ℹ Error occurred in the 1st layer.
# Caused by error in `FUN()`:
# ! object 'depth' not found
我正在使用旧的日期格式，其中前两位数字代表 20 世纪的年份。前两位小数是月份（即 01-12），第三位和第四位小数是该月中的日期（即 01-31）。问题在于以零结尾的日期（即 10、20、30）会删除尾随零，因此某些日期格式仅具有三位小数。
如何恢复尾随零，以便可以将此旧日期格式转换为现代日期格式（即 yyyy-mm-dd）？
例子：
library(tidyverse)
# Example data
xx <- data.frame(yr_mo_da = c('89.1208','89.1209','89.121', '89.1211'))
# My attempt to extract year, month, day from the old date format
# NOTE how the day is not extracted properly because there is not a fourth decimal place on Dec. 10
xx$year <- as.numeric(gsub("\\..*","",xx$yr_mo_da))
xx$month <- as.numeric(sub("^[0-9]+\\.([0-9]{2}).*", "\\1", xx$yr_mo_da))
xx$day <- as.numeric(sub("^[0-9]+\\.[0-9]{2}([0-9]{2}).*", "\\1", xx$yr_mo_da))
xx
#> yr_mo_da year month day
#> 1 89.1208 89 12 8.000
#> 2 89.1209 89 12 9.000
#> 3 89.121 89 12 89.121
#> 4 89.1211 89 12 11.000
# Create modern date format
xx <- xx %>%
mutate(year = year + 1900,
Date = make_date(year,month,day)) %>%
select(-c(yr_mo_da,year,day,month))
xx
#> Date
#> 1 1989-12-08
#> 2 1989-12-09
#> 3 <NA>
#> 4 1989-12-11
正确的输出应该如下所示：
xx
#> Date
#> 1 1989-12-08
#> 2 1989-12-09
#> 3 1989-12-10
#> 4 1989-12-11
创建于 2023-09-05，使用reprex v2.0.2