R 将形状和颜色图例合并为一个（ggplot）
我正在尝试将形状和颜色图例合并为一个，这样我的图形看起来更干净。例如，我希望R 将形状和颜色图例合并为一个（ggplot）,r,ggplot2,legend,R,Ggplot2,Legend,我正在尝试将形状和颜色图例合并为一个，这样我的图形看起来更干净。例如，我希望BG数据（mg/dl）用红色填充，传感器1的CGM回顾值（mg/dl）用橙色填充，等等。。我试着使用scale\u color\u manual和scale\u shape\u manual但我似乎无法将它们结合起来 这是我的密码： #Load libabries needed to create graphs library(ggplot2) library(dplyr) library(scales) librar
BG数据（mg/dl）scale\u color\u manualscale\u shape\u manual#Load libabries needed to create graphs
library(ggplot2)
library(dplyr)
library(scales)
library(gridExtra)
library(grid)
#create dataset for Subject i
data1<-subset(carb_data,Subject.ID.. == 1)
carb1<-subset(data1,Visit == 1)
#Makes sure that the "Amount" is stored as a number and that "time" is stored as a date
carb1$Amount = as.numeric(as.character(carb1$Amount))
carb1$time = as.POSIXct(carb1$Start, format = "%H:%M", tz = "GMT")
q <- ggplot(data=carb1, aes(x=time, y=Amount, group=Type, color= Type, shape=Type, label=Amount)) +
geom_point(data=carb1[carb1$Type=="BG Data (mg/dl)", ], size=2, colour="red") +
geom_point(data=carb1[carb1$Type == "CGM Retropective Value for Sensor 1 (mg/dl)", ], size=4) +
geom_point(data=carb1[carb1$Type == "CGM Retropective Value for Sensor 2 (mg/dl)", ], size=4) +
geom_point(data=carb1[carb1$Type == "CGM Retropective Value for Sensor 3 (mg/dl)", ], size=4) +
geom_point(data=carb1[carb1$Type == "CGM Retropective Value for Sensor 4 (mg/dl)", ], size=4) +
theme(text = element_text(size=10),
axis.text.x = element_text(angle=90, vjust=1)) +
scale_y_continuous(breaks = round(seq(0, max(carb1$Amount), by = 50),2)) +
xlab("Time (HH:MM)") + ylab("Glucose (mg/dL), Carbohydrates (grams)") +
ggtitle(toString(c("CGM Retrospectve and Reference Values"))) +
geom_bar(data=carb1[carb1$Type=="Disconnect or Reconnect Time", ], width=.1, stat="identity") +
scale_x_datetime(breaks=date_breaks("1 hour"), labels= date_format("%H:%M")) +
theme_bw() +
scale_shape_manual(values=c(16,1,2,3,5,6))
print(q)
我不确定您想归档什么-类似于
q+guides（shape=guide\u legend（override.aes=list）（color=c（“红色”，rep（“黑色”，3~”）））） > dput(carb1)
structure(list(EDC.ID. = structure(c(14L, 14L, 14L, 14L, 14L,
14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L,
14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L), .Label = c("SUBJECT1",
"SUBJECT10", "SUBJECT11", "SUBJECT12", "SUBJECT13", "SUBJECT14",
"SUBJECT15", "SUBJECT16", "SUBJECT17", "SUBJECT18", "SUBJECT19",
"SUBJECT2", "SUBJECT20", "SUBJECT3", "SUBJECT4", "SUBJECT5",
"SUBJECT6", "SUBJECT7", "SUBJECT8", "SUBJECT9"), class = "factor"),
Subject.ID.. = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L), Visit = c(1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), Date = structure(c(11L,
11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L,
11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L,
11L, 11L, 11L, 11L, 11L), .Label = c("10/1/14", "10/3/14",
"10/7/14", "8/14/14", "8/18/14", "8/19/14", "8/20/14", "8/21/14",
"8/25/14", "8/27/14", "8/28/14", "9/1/14", "9/10/14", "9/12/14",
"9/15/14", "9/16/14", "9/18/14", "9/19/14", "9/2/14", "9/22/14",
"9/23/14", "9/24/14", "9/25/14", "9/26/14", "9/29/14", "9/3/14",
"9/30/14", "9/4/14", "9/5/14", "9/8/14", "9/9/14"), class = "factor"),
Start = structure(c(475L, 496L, 508L, 522L, 13L, 59L, 74L,
106L, 120L, 177L, 197L, 266L, 294L, 323L, 353L, 383L, 412L,
434L, 69L, 195L, 282L, 323L, 353L, 383L, 412L, 434L, 353L,
383L, 412L, 434L), .Label = c("0:16", "1:25", "10:00", "10:01",
"10:02", "10:03", "10:04", "10:05", "10:06", "10:07", "10:08",
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"9:51", "9:52", "9:53", "9:54", "9:55", "9:56", "9:57", "9:58",
"9:59"), class = "factor"), End = structure(c(484L, 505L,
516L, 530L, 12L, 58L, 72L, 104L, 118L, 176L, 196L, 266L,
294L, 323L, 353L, 383L, 412L, 436L, 184L, 253L, 448L, 323L,
353L, 383L, 412L, 436L, 353L, 383L, 412L, 436L), .Label = c("0:16",
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Description = structure(c(7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 5L, 5L,
5L, 5L, 5L, 3L, 3L, 3L, 3L), .Label = c("BGM", "Disconnect or Reconnect Time",
"Sensor 1", "Sensor 2", "Sensor 3", "Sensor 4", "YSI"), class = "factor"),
Amount = c(161.5, 150.5, 150, 144.5, 138, 122, 119, 114.5,
110, 57.95, 53.95, 102, 156, 217, 250, 273, 275, 277, 350,
350, 350, 224, 269, 283, 267, 243, 252, 269, 272, 281), Type = structure(c(1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 6L, 6L, 6L, 4L, 4L, 4L, 4L, 4L, 2L, 2L, 2L, 2L), .Label = c("BG Data (mg/dl)",
"CGM Retropective Value for Sensor 1 (mg/dl)", "CGM Retropective Value for Sensor 2 (mg/dl)",
"CGM Retropective Value for Sensor 3 (mg/dl)", "CGM Retropective Value for Sensor 4 (mg/dl)",
"Disconnect or Reconnect Time"), class = "factor"), Order = c(241L,
242L, 243L, 244L, 245L, 246L, 247L, 248L, 249L, 250L, 251L,
252L, 253L, 254L, 255L, 256L, 257L, 258L, 2401L, 2402L, 2403L,
2881L, 2882L, 2883L, 2884L, 2885L, 2900L, 2901L, 2902L, 2903L
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