R donut plot
library(tidyverse)
df<- data.frame(variable=rep(c("亲朋好友", "医生", "媒体网络", "医学书籍", "其它")),
value=c(3137,2276,2056,84,7))
df$prop <- round(df$value/sum(df$value),2)
df$variable <- factor(df$variable, levels = df$variable[order(df$prop)])
p <- ggplot(df, aes(x = "", y = value, fill = variable)) +
geom_bar(width = 1, stat="identity") +
coord_polar("y", start=pi / 3) + ggtitle("Pie Chart")
p <- ggplot(df, aes(x = variable, y = prop, fill = variable)) +
geom_bar(stat="identity")+
coord_polar("y")+
theme_bw()
print(p)
p <- ggplot(df, aes(x = variable, y = value, fill = variable)) +
geom_bar(width = 0.9, stat="identity") +
coord_polar("y")+
theme_bw()
print(p)
p <- ggplot(df, aes(x = variable, y = value, fill = variable)) +
geom_bar(width = 1, stat="identity") +
coord_polar(theta = "x",direction=-1)
print(p)
p <- ggplot(df, aes(x = variable, y = value, fill = variable)) +
geom_bar(width = 1, stat="identity") +
coord_polar(theta = "y",direction=1)
print(p)
#https://rpubs.com/cardiomoon/398623
devtools::install_github("cardiomoon/moonBook")
devtools::install_github("cardiomoon/webr")
require(ggplot2)
require(moonBook)
require(webr)
data(acs,package = "moonBook")
PieDonut(acs,aes(pies=Dx,donuts=smoking))
PieDonut(acs,aes(Dx,smoking),ratioByGroup=FALSE)
PieDonut(acs,aes(Dx,smoking),selected=1,labelposition=0,title="labelposition=0")
PieDonut(acs,aes(Dx,smoking),selected=1,labelposition=1,title="labelposition=1")
PieDonut(acs,aes(Dx,smoking),explode=1)
PieDonut(acs,aes(Dx,smoking),explode=1,explodeDonut=TRUE)
PieDonut(acs,aes(Dx,smoking),explode=1,selected=c(3,6,9),explodeDonut=TRUE)
PieDonut(acs,aes(Dx,smoking),start=3*pi/2,explode=1,selected=c(3,6,9),explodeDonut=TRUE)
PieDonut(acs,aes(Dx,smoking),start=3*pi/2,explode=1,selected=c(3,6,9),explodeDonut=TRUE,title="Distribution of Smoking Status by Diagnosis")
PieDonut(acs,aes(Dx,smoking),r0=0,showPieName=FALSE)
PieDonut(acs,aes(Dx,smoking),r0=0.2,r1=0.8,r2=1.4,explode=1,start=pi/2,explodeDonut=TRUE)
devtools::install_github("JohnCoene/echarts4r")
devtools::install_github('JohnCoene/echarts4r.assets')
library(echarts4r)
library(echarts4r.assets)
e1 <- iris %>%
group_by(Species) %>%
e_charts(
Sepal.Length,
elementId = "chart"
) %>%
e_scatter(Petal.Length, Sepal.Width) %>%
e_datazoom(show = FALSE, y_index = 0) %>%
e_x_axis(min = 4) %>%
e_highlight(
series_name = list("setosa", "versicolor", "virginica"),
btn = "high"
) %>%
e_downplay(
series_name = list("setosa", "versicolor", "virginica"),
btn = "down"
) %>%
e_button(
"high", "Highlight",
class = "btn btn-primary",
position = "bottom"
) %>%
e_button(
"down", "Downplay",
class = "btn btn-default",
position = "bottom"
) %>%
e_legend(FALSE) %>%
e_title("Connect charts") %>%
e_tooltip(
trigger = "item",
axisPointer = list(
type = "cross"
)
) %>%
e_image_g(
left = 50,
top = 30,
z = 999,
style = list(
image = "reference/figures/logo.png",
width = 70,
height = 75,
opacity = .95
)
) %>%
e_text_style(fontFamily = "Raleway")
e2 <- iris %>%
group_by(Species) %>%
e_charts(Petal.Length) %>%
e_line(Sepal.Length) %>%
e_connect("chart") %>%
e_datazoom(y_index = 0) %>%
e_x_axis(min = 0) %>%
e_legend(
bottom = 5,
icons = ea_icons(
c("warning", "signal", "photo")
)
) %>%
e_tooltip(
trigger = "item",
axisPointer = list(
type = "cross"
)
) %>%
e_text_style(fontFamily = "Raleway")
e_arrange(e1, e2, rows = 1, cols = 2)
mtcars %>%
head() %>%
mutate(model = row.names(.)) %>%
e_charts(model) %>%
e_pie(carb)
df <- data.frame(
grp = c("A", "A", "A", "B", "B", "B"),
labels = rep(LETTERS[1:3], 2),
values = runif(6, 1, 5)
)
df %>%
group_by(grp) %>%
e_charts(labels) %>%
e_pie(values)
df<- data.frame(variable=rep(c("亲朋好友", "医生", "媒体网络", "医学书籍", "其它")),
value=c(3137,2276,2056,84,7))
df$prop <- round(df$value/sum(df$value),2)
df$variable <- factor(df$variable, levels = df$variable[order(df$prop)])
p <- ggplot(df, aes(x = "", y = value, fill = variable)) +
geom_bar(width = 1, stat="identity") +
coord_polar("y", start=pi / 3) + ggtitle("Pie Chart")
p <- ggplot(df, aes(x = variable, y = prop, fill = variable)) +
geom_bar(stat="identity")+
coord_polar("y")+
theme_bw()
print(p)
p <- ggplot(df, aes(x = variable, y = value, fill = variable)) +
geom_bar(width = 0.9, stat="identity") +
coord_polar("y")+
theme_bw()
print(p)
p <- ggplot(df, aes(x = variable, y = value, fill = variable)) +
geom_bar(width = 1, stat="identity") +
coord_polar(theta = "x",direction=-1)
print(p)
p <- ggplot(df, aes(x = variable, y = value, fill = variable)) +
geom_bar(width = 1, stat="identity") +
coord_polar(theta = "y",direction=1)
print(p)
#https://rpubs.com/cardiomoon/398623
devtools::install_github("cardiomoon/moonBook")
devtools::install_github("cardiomoon/webr")
require(ggplot2)
require(moonBook)
require(webr)
data(acs,package = "moonBook")
PieDonut(acs,aes(pies=Dx,donuts=smoking))
PieDonut(acs,aes(Dx,smoking),ratioByGroup=FALSE)
PieDonut(acs,aes(Dx,smoking),selected=1,labelposition=0,title="labelposition=0")
PieDonut(acs,aes(Dx,smoking),selected=1,labelposition=1,title="labelposition=1")
PieDonut(acs,aes(Dx,smoking),explode=1)
PieDonut(acs,aes(Dx,smoking),explode=1,explodeDonut=TRUE)
PieDonut(acs,aes(Dx,smoking),explode=1,selected=c(3,6,9),explodeDonut=TRUE)
PieDonut(acs,aes(Dx,smoking),start=3*pi/2,explode=1,selected=c(3,6,9),explodeDonut=TRUE)
PieDonut(acs,aes(Dx,smoking),start=3*pi/2,explode=1,selected=c(3,6,9),explodeDonut=TRUE,title="Distribution of Smoking Status by Diagnosis")
PieDonut(acs,aes(Dx,smoking),r0=0,showPieName=FALSE)
PieDonut(acs,aes(Dx,smoking),r0=0.2,r1=0.8,r2=1.4,explode=1,start=pi/2,explodeDonut=TRUE)
devtools::install_github("JohnCoene/echarts4r")
devtools::install_github('JohnCoene/echarts4r.assets')
library(echarts4r)
library(echarts4r.assets)
e1 <- iris %>%
group_by(Species) %>%
e_charts(
Sepal.Length,
elementId = "chart"
) %>%
e_scatter(Petal.Length, Sepal.Width) %>%
e_datazoom(show = FALSE, y_index = 0) %>%
e_x_axis(min = 4) %>%
e_highlight(
series_name = list("setosa", "versicolor", "virginica"),
btn = "high"
) %>%
e_downplay(
series_name = list("setosa", "versicolor", "virginica"),
btn = "down"
) %>%
e_button(
"high", "Highlight",
class = "btn btn-primary",
position = "bottom"
) %>%
e_button(
"down", "Downplay",
class = "btn btn-default",
position = "bottom"
) %>%
e_legend(FALSE) %>%
e_title("Connect charts") %>%
e_tooltip(
trigger = "item",
axisPointer = list(
type = "cross"
)
) %>%
e_image_g(
left = 50,
top = 30,
z = 999,
style = list(
image = "reference/figures/logo.png",
width = 70,
height = 75,
opacity = .95
)
) %>%
e_text_style(fontFamily = "Raleway")
e2 <- iris %>%
group_by(Species) %>%
e_charts(Petal.Length) %>%
e_line(Sepal.Length) %>%
e_connect("chart") %>%
e_datazoom(y_index = 0) %>%
e_x_axis(min = 0) %>%
e_legend(
bottom = 5,
icons = ea_icons(
c("warning", "signal", "photo")
)
) %>%
e_tooltip(
trigger = "item",
axisPointer = list(
type = "cross"
)
) %>%
e_text_style(fontFamily = "Raleway")
e_arrange(e1, e2, rows = 1, cols = 2)
mtcars %>%
head() %>%
mutate(model = row.names(.)) %>%
e_charts(model) %>%
e_pie(carb)
df <- data.frame(
grp = c("A", "A", "A", "B", "B", "B"),
labels = rep(LETTERS[1:3], 2),
values = runif(6, 1, 5)
)
df %>%
group_by(grp) %>%
e_charts(labels) %>%
e_pie(values)
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