Adding error bars to a grouped R plotly bar chart
I have data I'd like to plot using an R
plotly
bar graph with y error bars. The data consist of two groups, each with measurements from three types:
set.seed(1)
df <- data.frame(group = c(rep("A",3),rep("B",3)),
type = rep(letters[1:3],2),
mean.proportion = runif(6,0,1),
se.proportion = runif(6,0.01),
stringsAsFactors = F)
df$group <- factor(df$group)
df$type <- factor(df$type)
If I only plot the bars with no error bars using:
plotly::plot_ly(x=df$type,y=df$mean.proportion,type='bar',color=df$group,showlegend=T) %>%
plotly::layout(xaxis=list(title=NA),yaxis=list(title="Proportion"),barmode='group')
It comes out fine:
However, when I try to add y error bars using:
plotly::plot_ly(x=df$type,y=df$mean.proportion,type='bar',color=df$group,showlegend=T) %>%
plotly::layout(xaxis=list(title=NA),yaxis=list(title="Proportion"),barmode='group') %>%
plotly::add_trace(error_y=list(array=df$se.proportion))
It gets messed up - the bras get doubled:
Any idea?
r bar-chart plotly errorbar
add a comment |
I have data I'd like to plot using an R
plotly
bar graph with y error bars. The data consist of two groups, each with measurements from three types:
set.seed(1)
df <- data.frame(group = c(rep("A",3),rep("B",3)),
type = rep(letters[1:3],2),
mean.proportion = runif(6,0,1),
se.proportion = runif(6,0.01),
stringsAsFactors = F)
df$group <- factor(df$group)
df$type <- factor(df$type)
If I only plot the bars with no error bars using:
plotly::plot_ly(x=df$type,y=df$mean.proportion,type='bar',color=df$group,showlegend=T) %>%
plotly::layout(xaxis=list(title=NA),yaxis=list(title="Proportion"),barmode='group')
It comes out fine:
However, when I try to add y error bars using:
plotly::plot_ly(x=df$type,y=df$mean.proportion,type='bar',color=df$group,showlegend=T) %>%
plotly::layout(xaxis=list(title=NA),yaxis=list(title="Proportion"),barmode='group') %>%
plotly::add_trace(error_y=list(array=df$se.proportion))
It gets messed up - the bras get doubled:
Any idea?
r bar-chart plotly errorbar
add a comment |
I have data I'd like to plot using an R
plotly
bar graph with y error bars. The data consist of two groups, each with measurements from three types:
set.seed(1)
df <- data.frame(group = c(rep("A",3),rep("B",3)),
type = rep(letters[1:3],2),
mean.proportion = runif(6,0,1),
se.proportion = runif(6,0.01),
stringsAsFactors = F)
df$group <- factor(df$group)
df$type <- factor(df$type)
If I only plot the bars with no error bars using:
plotly::plot_ly(x=df$type,y=df$mean.proportion,type='bar',color=df$group,showlegend=T) %>%
plotly::layout(xaxis=list(title=NA),yaxis=list(title="Proportion"),barmode='group')
It comes out fine:
However, when I try to add y error bars using:
plotly::plot_ly(x=df$type,y=df$mean.proportion,type='bar',color=df$group,showlegend=T) %>%
plotly::layout(xaxis=list(title=NA),yaxis=list(title="Proportion"),barmode='group') %>%
plotly::add_trace(error_y=list(array=df$se.proportion))
It gets messed up - the bras get doubled:
Any idea?
r bar-chart plotly errorbar
I have data I'd like to plot using an R
plotly
bar graph with y error bars. The data consist of two groups, each with measurements from three types:
set.seed(1)
df <- data.frame(group = c(rep("A",3),rep("B",3)),
type = rep(letters[1:3],2),
mean.proportion = runif(6,0,1),
se.proportion = runif(6,0.01),
stringsAsFactors = F)
df$group <- factor(df$group)
df$type <- factor(df$type)
If I only plot the bars with no error bars using:
plotly::plot_ly(x=df$type,y=df$mean.proportion,type='bar',color=df$group,showlegend=T) %>%
plotly::layout(xaxis=list(title=NA),yaxis=list(title="Proportion"),barmode='group')
It comes out fine:
However, when I try to add y error bars using:
plotly::plot_ly(x=df$type,y=df$mean.proportion,type='bar',color=df$group,showlegend=T) %>%
plotly::layout(xaxis=list(title=NA),yaxis=list(title="Proportion"),barmode='group') %>%
plotly::add_trace(error_y=list(array=df$se.proportion))
It gets messed up - the bras get doubled:
Any idea?
r bar-chart plotly errorbar
r bar-chart plotly errorbar
asked Nov 9 at 22:21
dan
1,42941043
1,42941043
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
Try plotting them within the first statement:
plotly::plot_ly(x=df$type,y=df$mean.proportion,type='bar',color=df$group,showlegend=T, error_y=list(array=df$se.proportion)) %>%
plotly::layout(xaxis=list(title=NA),yaxis=list(title="Proportion"),barmode='group')
Output:
add a comment |
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Try plotting them within the first statement:
plotly::plot_ly(x=df$type,y=df$mean.proportion,type='bar',color=df$group,showlegend=T, error_y=list(array=df$se.proportion)) %>%
plotly::layout(xaxis=list(title=NA),yaxis=list(title="Proportion"),barmode='group')
Output:
add a comment |
Try plotting them within the first statement:
plotly::plot_ly(x=df$type,y=df$mean.proportion,type='bar',color=df$group,showlegend=T, error_y=list(array=df$se.proportion)) %>%
plotly::layout(xaxis=list(title=NA),yaxis=list(title="Proportion"),barmode='group')
Output:
add a comment |
Try plotting them within the first statement:
plotly::plot_ly(x=df$type,y=df$mean.proportion,type='bar',color=df$group,showlegend=T, error_y=list(array=df$se.proportion)) %>%
plotly::layout(xaxis=list(title=NA),yaxis=list(title="Proportion"),barmode='group')
Output:
Try plotting them within the first statement:
plotly::plot_ly(x=df$type,y=df$mean.proportion,type='bar',color=df$group,showlegend=T, error_y=list(array=df$se.proportion)) %>%
plotly::layout(xaxis=list(title=NA),yaxis=list(title="Proportion"),barmode='group')
Output:
answered Nov 9 at 22:32
arg0naut
1,975313
1,975313
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