R Error: First argument, `data`, must be a data frame or shared data
R Error: First argument, `data`, must be a data frame or shared data
我正在使用 R 编程语言。我在这里关注本教程:https://plotly.com/r/dropdowns/
我尝试创建自己的数据和 运行 相同的过程:
library(plotly)
library(MASS)
library(dplyr)
# create data
x <- sample( LETTERS[1:4], 731, replace=TRUE, prob=c(0.25, 0.25, 0.25, 0.25) )
y <- rnorm(731,10,10)
z <- rnorm(731,5,5)
date= seq(as.Date("2014/1/1"), as.Date("2016/1/1"),by="day")
df <- data.frame(x,y, z, date)
df$x = as.factor(df$x)
#create plot
fig <- plot_ly(df, x = ~y, z = ~z )
fig <- fig %>% plot_ly(df, y = ~y, color = ~x, type = "box")
fig <- fig %>% plot_ly( data = df, type = "scatter", mode = "markers", x = ~ y, y = ~z)
fig <- fig %>% layout(
title = "Drop down menus - Styling",
xaxis = list(domain = c(0.1, 1)),
yaxis = list(title = "y"),
updatemenus = list(
list(
y = 0.8,
buttons = list(
list(method = "restyle",
args = list("line.color", "blue"),
label = "Blue"),
list(method = "restyle",
args = list("line.color", "red"),
label = "Red")))
)
)
fig
但这会产生以下错误:
Error: First argument, `data`, must be a data frame or shared data.
我试图为这个“无花果”添加另一个情节
# time series plot
aggregate = df %>%
mutate(date = as.Date(date)) %>%
group_by(month = format(date, "%Y-%m")) %>%
summarise( mean = mean(y))
ts_1 <- ggplot(aggregate) + geom_line(aes(x = month, y = mean, group = 1)) + theme(axis.text.x = element_text(angle = 90)) + ggtitle("time series 1")
plot_1 = ggplotly(ts_1)
fig <- fig %>% plot_1
但这也行不通。
有人可以告诉我我做错了什么吗?
谢谢
我不确定您要执行的是该页面中的哪个图。这是实现其中前两个的方法。
数据:
library(plotly)
x <- sample( LETTERS[1:4], 731, replace=TRUE, prob=c(0.25, 0.25, 0.25, 0.25) )
y <- rnorm(731,10,10)
z <- rnorm(731,5,5)
date= seq(as.Date("2014/1/1"), as.Date("2016/1/1"),by="day")
df <- data.frame(x,y, z, date)
df$x = as.factor(df$x)
简单的下拉菜单:
fig <- plot_ly(df, x = ~y, y = ~z)
fig <- fig %>% add_markers(marker = list(line = list(color = "black", width = 1)))
fig <- fig %>% layout(
title = "Drop down menus - Plot type",
xaxis = list(domain = c(0.1, 1)),
yaxis = list(title = "y"),
updatemenus = list(
list(
y = 0.8,
buttons = list(
list(method = "restyle",
args = list("type", "scatter"),
label = "Scatter"),
list(method = "restyle",
args = list("type", "histogram2d"),
label = "2D Histogram")))
))
fig
对于第二个情节:
fig <- plot_ly(df, x = ~date)
fig <- fig %>% add_lines(y = ~y, name = "A")
fig <- fig %>% add_lines(y = ~z, name = "B", visible = F)
fig <- fig %>% layout(
title = "Drop down menus - Styling",
xaxis = list(domain = c(0.1, 1)),
yaxis = list(title = "y"),
updatemenus = list(
list(
y = 0.8,
buttons = list(
list(method = "restyle",
args = list("line.color", "blue"),
label = "Blue"),
list(method = "restyle",
args = list("line.color", "red"),
label = "Red")))
)
)
fig
我正在使用 R 编程语言。我在这里关注本教程:https://plotly.com/r/dropdowns/
我尝试创建自己的数据和 运行 相同的过程:
library(plotly)
library(MASS)
library(dplyr)
# create data
x <- sample( LETTERS[1:4], 731, replace=TRUE, prob=c(0.25, 0.25, 0.25, 0.25) )
y <- rnorm(731,10,10)
z <- rnorm(731,5,5)
date= seq(as.Date("2014/1/1"), as.Date("2016/1/1"),by="day")
df <- data.frame(x,y, z, date)
df$x = as.factor(df$x)
#create plot
fig <- plot_ly(df, x = ~y, z = ~z )
fig <- fig %>% plot_ly(df, y = ~y, color = ~x, type = "box")
fig <- fig %>% plot_ly( data = df, type = "scatter", mode = "markers", x = ~ y, y = ~z)
fig <- fig %>% layout(
title = "Drop down menus - Styling",
xaxis = list(domain = c(0.1, 1)),
yaxis = list(title = "y"),
updatemenus = list(
list(
y = 0.8,
buttons = list(
list(method = "restyle",
args = list("line.color", "blue"),
label = "Blue"),
list(method = "restyle",
args = list("line.color", "red"),
label = "Red")))
)
)
fig
但这会产生以下错误:
Error: First argument, `data`, must be a data frame or shared data.
我试图为这个“无花果”添加另一个情节
# time series plot
aggregate = df %>%
mutate(date = as.Date(date)) %>%
group_by(month = format(date, "%Y-%m")) %>%
summarise( mean = mean(y))
ts_1 <- ggplot(aggregate) + geom_line(aes(x = month, y = mean, group = 1)) + theme(axis.text.x = element_text(angle = 90)) + ggtitle("time series 1")
plot_1 = ggplotly(ts_1)
fig <- fig %>% plot_1
但这也行不通。
有人可以告诉我我做错了什么吗?
谢谢
我不确定您要执行的是该页面中的哪个图。这是实现其中前两个的方法。
数据:
library(plotly)
x <- sample( LETTERS[1:4], 731, replace=TRUE, prob=c(0.25, 0.25, 0.25, 0.25) )
y <- rnorm(731,10,10)
z <- rnorm(731,5,5)
date= seq(as.Date("2014/1/1"), as.Date("2016/1/1"),by="day")
df <- data.frame(x,y, z, date)
df$x = as.factor(df$x)
简单的下拉菜单:
fig <- plot_ly(df, x = ~y, y = ~z)
fig <- fig %>% add_markers(marker = list(line = list(color = "black", width = 1)))
fig <- fig %>% layout(
title = "Drop down menus - Plot type",
xaxis = list(domain = c(0.1, 1)),
yaxis = list(title = "y"),
updatemenus = list(
list(
y = 0.8,
buttons = list(
list(method = "restyle",
args = list("type", "scatter"),
label = "Scatter"),
list(method = "restyle",
args = list("type", "histogram2d"),
label = "2D Histogram")))
))
fig
对于第二个情节:
fig <- plot_ly(df, x = ~date)
fig <- fig %>% add_lines(y = ~y, name = "A")
fig <- fig %>% add_lines(y = ~z, name = "B", visible = F)
fig <- fig %>% layout(
title = "Drop down menus - Styling",
xaxis = list(domain = c(0.1, 1)),
yaxis = list(title = "y"),
updatemenus = list(
list(
y = 0.8,
buttons = list(
list(method = "restyle",
args = list("line.color", "blue"),
label = "Blue"),
list(method = "restyle",
args = list("line.color", "red"),
label = "Red")))
)
)
fig