R 使绘图的yaxis标题水平

我试图在垂直方向上组合

R

plotly

绘图列表，但由于每个单独绘图的y轴标题是水平的，因此组合的绘图结果很混乱

下面是我的例子：

数据：

然后，使用以下方法组合它们：

subplot(plot.list,nrows=length(plot.list),shareX=T,shareY=T,titleX=T,titleY=T)

给出：

---

如何在

绘图中旋转每个绘图的y轴标题。请将

列表设置为水平而不是垂直？

如果我理解正确，则无法按照本机实现

但是，正如链接所建议的，尝试使用注释

下面是一个可能的方法-

set.seed(1)
df <- data.frame(cluster=unlist(lapply(letters[1:10],function(i) rep(paste0("cluster:",i),200))),
                 group=rep(c(rep("A",100),rep("B",100)),10),val=rnorm(2000))
df$group <- factor(df$group,levels=c("A","B"))
library(plotly)

plot.list <- lapply(unique(df$cluster),function(i){
  density.df <- do.call(rbind,lapply(c("A","B"),function(b){
    dens <- density(dplyr::filter(df,cluster == i,group == b)$val,adjust=1)
    return(data.frame(x=dens$x,y=dens$y,group=b,stringsAsFactors=F))
  }))
  density.df$group <- factor(density.df$group,levels=c("A","B"))

  if(i == unique(df$cluster)[1]){
    cluster.plot <- plot_ly(x=~density.df$x,y=~density.df$y,type='scatter',mode='lines',color=~density.df$group,line=list(width=3),showlegend=T) %>%
      layout(xaxis=list(title="Val",zeroline=F),yaxis=list(title = '', zeroline=F,showticklabels=F),legend=list(orientation="h",xanchor="center",x=0,y=1)) %>% 
      add_annotations(text = i, x = -0.1, xref = 'paper', y = 0.5, yref = 'paper', showarrow = FALSE)
  } else {
    cluster.plot <- plot_ly(x=~density.df$x,y=~density.df$y,type='scatter',mode='lines',color=~density.df$group,line=list(width=3),showlegend=F) %>%
      layout(xaxis=list(title="Val",zeroline=F),yaxis=list(title = '', zeroline=F,showticklabels=F)) %>%
      add_annotations(text = i, x = -0.1, xref = 'paper', y = 0.5, yref = 'paper', showarrow = FALSE)
  }
  return(cluster.plot)
})
subplot(plot.list,nrows=length(plot.list),shareX=T,shareY=T,titleX=T,titleY=T)

set.seed（1）
df如果我理解正确，这无法通过本机实现

但是，正如链接所建议的，尝试使用注释

下面是一个可能的方法-

set.seed(1)
df <- data.frame(cluster=unlist(lapply(letters[1:10],function(i) rep(paste0("cluster:",i),200))),
                 group=rep(c(rep("A",100),rep("B",100)),10),val=rnorm(2000))
df$group <- factor(df$group,levels=c("A","B"))
library(plotly)

plot.list <- lapply(unique(df$cluster),function(i){
  density.df <- do.call(rbind,lapply(c("A","B"),function(b){
    dens <- density(dplyr::filter(df,cluster == i,group == b)$val,adjust=1)
    return(data.frame(x=dens$x,y=dens$y,group=b,stringsAsFactors=F))
  }))
  density.df$group <- factor(density.df$group,levels=c("A","B"))

  if(i == unique(df$cluster)[1]){
    cluster.plot <- plot_ly(x=~density.df$x,y=~density.df$y,type='scatter',mode='lines',color=~density.df$group,line=list(width=3),showlegend=T) %>%
      layout(xaxis=list(title="Val",zeroline=F),yaxis=list(title = '', zeroline=F,showticklabels=F),legend=list(orientation="h",xanchor="center",x=0,y=1)) %>% 
      add_annotations(text = i, x = -0.1, xref = 'paper', y = 0.5, yref = 'paper', showarrow = FALSE)
  } else {
    cluster.plot <- plot_ly(x=~density.df$x,y=~density.df$y,type='scatter',mode='lines',color=~density.df$group,line=list(width=3),showlegend=F) %>%
      layout(xaxis=list(title="Val",zeroline=F),yaxis=list(title = '', zeroline=F,showticklabels=F)) %>%
      add_annotations(text = i, x = -0.1, xref = 'paper', y = 0.5, yref = 'paper', showarrow = FALSE)
  }
  return(cluster.plot)
})
subplot(plot.list,nrows=length(plot.list),shareX=T,shareY=T,titleX=T,titleY=T)

set.seed（1）
df
set.seed(1)
df <- data.frame(cluster=unlist(lapply(letters[1:10],function(i) rep(paste0("cluster:",i),200))),
                 group=rep(c(rep("A",100),rep("B",100)),10),val=rnorm(2000))
df$group <- factor(df$group,levels=c("A","B"))
library(plotly)

plot.list <- lapply(unique(df$cluster),function(i){
  density.df <- do.call(rbind,lapply(c("A","B"),function(b){
    dens <- density(dplyr::filter(df,cluster == i,group == b)$val,adjust=1)
    return(data.frame(x=dens$x,y=dens$y,group=b,stringsAsFactors=F))
  }))
  density.df$group <- factor(density.df$group,levels=c("A","B"))

  if(i == unique(df$cluster)[1]){
    cluster.plot <- plot_ly(x=~density.df$x,y=~density.df$y,type='scatter',mode='lines',color=~density.df$group,line=list(width=3),showlegend=T) %>%
      layout(xaxis=list(title="Val",zeroline=F),yaxis=list(title = '', zeroline=F,showticklabels=F),legend=list(orientation="h",xanchor="center",x=0,y=1)) %>% 
      add_annotations(text = i, x = -0.1, xref = 'paper', y = 0.5, yref = 'paper', showarrow = FALSE)
  } else {
    cluster.plot <- plot_ly(x=~density.df$x,y=~density.df$y,type='scatter',mode='lines',color=~density.df$group,line=list(width=3),showlegend=F) %>%
      layout(xaxis=list(title="Val",zeroline=F),yaxis=list(title = '', zeroline=F,showticklabels=F)) %>%
      add_annotations(text = i, x = -0.1, xref = 'paper', y = 0.5, yref = 'paper', showarrow = FALSE)
  }
  return(cluster.plot)
})
subplot(plot.list,nrows=length(plot.list),shareX=T,shareY=T,titleX=T,titleY=T)