Vincolo di stat_smooth a un intervallo specifico

Question

Vorrei calcolare due diverse linee di adattamento ottimale per 2 parti del mio grafico. Potrei suddividere i dati, ma mi chiedevo se fosse possibile definire un intervallo su cui funzionerebbe stat_smooth.

Ad esempio, vorrei inserire due righe separate per questi dati, uno per lat < 100 e uno per lat> 100.

test<-data.frame(ecdf=c(0.02040816,0.04081633,0.06122449,0.08163265,0.10204082,0.14285714,0.14285714,0.16326531,0.24489796,0.24489796,0.24489796,0.24489796,0.26530612,0.28571429,0.30612245,0.32653061,0.36734694,0.36734694,0.38775510,0.40816327,0.42857143,0.46938776,0.46938776,0.48979592,0.53061224,0.53061224,0.59183673,0.59183673,0.59183673,0.61224490,0.63265306,0.65306122,0.67346939,0.69387755,0.71428571,0.73469388,0.75510204,0.77551020,0.79591837,0.81632653,0.83673469,0.85714286,0.87755102,0.89795918,0.91836735,0.93877551,0.95918367,0.97959184,0.99900000),lat=c(50.7812,66.4062,70.3125,97.6562,101.5620,105.4690,105.4690,109.3750,113.2810,113.2810,113.2810,113.2810,125.0000,136.7190,148.4380,164.0620,167.9690,167.9690,171.8750,175.7810,183.5940,187.5000,187.5000,191.4060,195.3120,195.3120,234.3750,234.3750,234.3750,238.2810,261.7190,312.5000,316.4060,324.2190,417.9690,507.8120,511.7190,562.5000,664.0620,683.5940,957.0310,1023.4400,1050.7800,1070.3100,1109.3800,1484.3800,1574.2200,1593.7500,1750.0000)) 

p <- ggplot(test, aes(lat, ecdf)) 
p+geom_point()+scale_y_probit()+scale_x_log10()+ stat_smooth(method = "lm") 

Answer 1

Si può sempre fare qualcosa di simile:

p + geom_point() + scale_y_probit() + scale_x_log10() + 
geom_smooth(data=subset(test, lat>100), method = "lm") + 
geom_smooth(data=subset(test, lat<=100), method = "lm") 

ma probabilmente è preferibile definire prima un fattore (qui latcat) che segna i due gruppi di punti che si desidera a separatamente liscio. Quindi, inserire il fattore nella vostra estetica, e geom_smooth() farà il resto del lavoro per voi:

test$latcat <- cut(test$lat, 
        breaks = c(-Inf, 100, Inf), 
        labels = c("<=100", ">100")) 

p <- ggplot(test, aes(lat, ecdf, colour = latcat)) 
p + geom_point() + scale_y_probit() + scale_x_log10() + 
geom_smooth(method = "lm")