我尝试在每个循环中添加ad_trace广告,但我只得到一个互相叠加的广告图。
mean <- -0.0007200342
sd <- 0.3403711
N=10
T=1
Delta = T/N
W = c(0,cumsum( sqrt(Delta) * rnorm(N, mean=mean, sd=sd)))
t <- seq(0,T, length=N+1)
p<-plot_ly(y=W, x=t)
for(i in 1:5){
W <- c(0,cumsum( sqrt(Delta) * rnorm(N, mean=mean, sd=sd)))
p<-add_trace(p, y=W)
}
print(p)
答案 0 :(得分:7)
plot_ly
和add_trace
函数有一个evaluation = FALSE
选项,您可以将其更改为TRUE
,这样可以解决范围问题。
答案 1 :(得分:5)
在evaluate = TRUE
中使用add_trace
。
答案 2 :(得分:2)
讨厌,但有效:
mean <- -0.0007200342
sd <- 0.3403711
N=10
T=1
Delta = T/N
W = c(0,cumsum( sqrt(Delta) * rnorm(N, mean=mean, sd=sd)))
t <- seq(0,T, length=N+1)
for(i in 1:5){
W <- c(0,cumsum( sqrt(Delta) * rnorm(N, mean=mean, sd=sd)))
assign(paste("W_",i,sep=""),W)
assign(paste("Name_", i, sep=""), paste("Name",i,sep=""))
if(i==1){
pString<-"p<-plot_ly(x = t, y = W_1, name='W1')"
} else {
pString<-paste(pString, " %>% add_trace(x=t, y =", eval(paste("W", i, sep="_")),", name=", eval(paste("Name", i, sep="_")), ")", sep="")
}
}
eval(parse(text=pString))
print(p)
答案 3 :(得分:1)
我这样做:
<!-- generated on Wed Nov 30 12:18:33 2011 by SUMO netconvert Version 0.13.1
<?xml version="1.0" encoding="iso-8859-1"?>
<configuration xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:noNamespaceSchemaLocation="http://sumo.sf.net/xsd/netconvertConfiguration.xsd">
<input>
<type-files value="erlangen.edgetypes.xml"/>
<osm-files value="erlangen.osm"/>
</input>
<output>
<output-file value="erlangen.net.xml"/>
</output>
<projection>
<proj.utm value="true"/>
</projection>
<edge_removal>
<remove-edges.isolated value="true"/>
</edge_removal>
<processing>
<osm.discard-tls value="true"/>
<no-turnarounds value="false"/>
<offset.disable-normalization value="true"/>
<roundabouts.guess value="true"/>
<junctions.join value="true"/>
</processing>
</configuration>
-->
答案 4 :(得分:-3)
这里描述: http://www.r-graph-gallery.com/129-use-a-loop-to-add-trace-with-plotly/
将您的绘图保存在变量中,然后执行add_trace:
p <- plotly(...)
p<- add_trace(p, ...)