r - 在 x 和 y 轴上显示数据点的位置

Question

我想在 y 和 x 轴上显示特定数据点的位置。基本上，我知道测量前的起点（12:00 或 160:00），我想识别曲线上的数据点并标记它。有什么建议么？

样本数据：

df<-structure(list(time = c("04:00", "04:15", "04:30", "04:45", "05:00", 
"05:15", "05:30", "05:45", "06:00", "06:15", "06:30", "06:45", 
"07:00", "07:15", "07:30", "07:45", "08:00", "08:15", "08:30", 
"08:45", "09:00", "09:15", "09:30", "09:45", "10:00", "10:15", 
"10:30", "10:45", "11:00", "11:15", "11:30", "11:45", "12:00", 
"12:15", "12:30", "12:45", "13:00", "13:15", "13:30", "13:45", 
"14:00", "14:15", "14:30", "14:45", "15:00", "15:15", "15:30", 
"15:45", "16:00", "16:15", "16:30", "16:45", "17:00", "17:15", 
"17:30", "17:45", "18:00", "18:15", "18:30", "18:45", "19:00", 
"19:15", "19:30", "19:45", "20:00", "20:15", "20:30", "20:45", 
"21:00", "21:15", "21:30", "21:45", "22:00", "22:15", "22:30", 
"22:45", "23:00", "23:15", "23:30", "23:45", "00:00", "00:15", 
"00:30", "00:45", "01:00", "01:15", "01:30", "01:45", "02:00", 
"02:15", "02:30", "02:45", "03:00", "03:15", "03:30", "03:45"
), index = 1:96, variable = structure(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, 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, 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, 1L, 1L, 1L, 1L, 1L, 1L), .Label = "value", class = "factor"), 
    value = c(0, 0.00120336943441637, 0.00401123144805455, 0.00481347773766546, 
    0.0116325711993582, 0.0104292017649418, 0.0236662655435219, 
    0.0284797432811873, 0.0709987966305656, 0.0770156438026474, 
    0.0882470918572002, 0.0918572001604493, 0.201363818692339, 
    0.219013237063779, 0.281989570798235, 0.298435619735259, 
    0.503409546730846, 0.555956678700361, 0.67428800641797, 0.707180104292018, 
    0.8896911351785, 0.922583233052547, 0.935018050541516, 0.936221419975933, 
    0.963096670677898, 0.974729241877256, 0.985960689931809, 
    0.984757320497393, 0.984757320497393, 0.994785399117529, 
    1, 0.997994384275973, 0.919775371038909, 0.902527075812274, 
    0.860409145607702, 0.854793421580425, 0.756117127958283, 
    0.768953068592058, 0.837545126353791, 0.847172081829122, 
    0.944243882872042, 0.963497793822704, 0.965503409546731, 
    0.967107902125953, 0.957079823505816, 0.969915764139591, 
    0.9558764540714, 0.953469715202567, 0.890894504612916, 0.882872041716807, 
    0.8235058162856, 0.805054151624549, 0.661452065784196, 0.631768953068592, 
    0.549538708383474, 0.51544324107501, 0.300842358604091, 0.277978339350181, 
    0.235058162855997, 0.214199759326113, 0.143602085840353, 
    0.139590854392298, 0.129161652627357, 0.127557160048135, 
    0.0946650621740874, 0.0934616927396711, 0.0886482150020056, 
    0.0834336141195347, 0.0709987966305656, 0.0722021660649819, 
    0.0705976734857601, 0.0701965503409547, 0.0605695948656237, 
    0.0605695948656237, 0.0573606097071801, 0.0561572402727637, 
    0.0389089450461292, 0.036101083032491, 0.0344965904532692, 
    0.0348977135980746, 0.0260730044123546, 0.0280786201363819, 
    0.0260730044123546, 0.0260730044123546, 0.0212595266746891, 
    0.0208584035298837, 0.0164460489370237, 0.0156438026474128, 
    0.00922583233052547, 0.00882470918572002, 0.00842358604091456, 
    0.00882470918572002, 0.00240673886883273, 0.00200561572402728, 
    0.00200561572402728, 0.00200561572402728)), class = "data.frame", row.names = c(NA, 
-96L))

到目前为止的代码：

plot<-ggplot(df, aes(x=time, y=value, group=variable)) + geom_line()+labs(x="Time (hours)", y="Normalized values", title="")+theme_bw()
plot+ theme(axis.text.x = element_text(angle = , hjust = 1,family="Times", face="bold", size=12), axis.text.y = element_text(family="Times", face="bold", size=12),strip.text = element_text(size=6, face="bold")) +theme(plot.title = element_text(hjust = 0.5))+scale_x_discrete(limits = c( "04:00", "07:00", "08:00","08:10" , "12:00", "16:00",  "20:00", "22:00", "00:00","04:00"), expand=c(-1,1)) +  scale_y_continuous(expand = c(-0, 0))

标签： rdataframe

Answer 1

您应该能够通过将以下代码附加到您的绘图来获得标记的点和线：

geom_segment(x = 0, 
            xend = "12:00",
            y = 0.919775371, yend = max(    
              0.919775371), linetype = 2) + geom_segment(x = "12:00", 
                                                         xend = "12:00",
                                                         y = 0, yend = max( 
                                                           0.919775371), linetype = 2) +
  geom_segment(x = "16:00", 
                 xend = "16:00",
                 y = 0, yend = max( 
                   0.890894505), linetype = 2) +
geom_segment(x = 0, 
               xend = "16:00",
               y = 0.890894505, yend = max( 
                 0.890894505), linetype = 2) +
geom_text(x = "12:00" , 
            y = 0.919775371+0.03, label = "X", check_overlap = TRUE) +
  geom_text(x = "16:00" , 
            y = 0.890894505+0.03, label = "Y", check_overlap = TRUE) 

输出：