error_x ignores user provided value; defaults to 10 always

Using the example for coef plots here, I find that no matter what values are provided o error_x = ~ ... , the plot always shows error bars at 10% of the point-estimate.

Brief description of the problem

library(plotly)
#> Loading required package: ggplot2
#> 
#> Attaching package: 'plotly'
#> The following object is masked from 'package:ggplot2':
#> 
#>     last_plot
#> The following object is masked from 'package:stats':
#> 
#>     filter
#> The following object is masked from 'package:graphics':
#> 
#>     layout
library(ggplot2)

fit <- lm(mpg ~ cyl + disp + wt, mtcars)
summary(fit)
#> 
#> Call:
#> lm(formula = mpg ~ cyl + disp + wt, data = mtcars)
#> 
#> Residuals:
#>     Min      1Q  Median      3Q     Max 
#> -4.4035 -1.4028 -0.4955  1.3387  6.0722 
#> 
#> Coefficients:
#>              Estimate Std. Error t value Pr(>|t|)    
#> (Intercept) 41.107678   2.842426  14.462 1.62e-14 ***
#> cyl         -1.784944   0.607110  -2.940  0.00651 ** 
#> disp         0.007473   0.011845   0.631  0.53322    
#> wt          -3.635677   1.040138  -3.495  0.00160 ** 
#> ---
#> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#> 
#> Residual standard error: 2.595 on 28 degrees of freedom
#> Multiple R-squared:  0.8326, Adjusted R-squared:  0.8147 
#> F-statistic: 46.42 on 3 and 28 DF,  p-value: 5.399e-11

# Plots Don't Agree. Plotly shows incoprrect error bars
goodplot <- GGally::ggcoef(fit, sort = "ascending")
#> Registered S3 method overwritten by 'GGally':
#>   method from   
#>   +.gg   ggplot2
badplot <- fit %>% broom::tidy() %>%
        mutate(term = forcats::fct_reorder(term, estimate)) %>%
        plot_ly(x = ~ estimate, y = ~ term) %>%
        add_markers(
                error_x = ~ list(value = std.error),
                color = I("black"),
                hoverinfo = "x"
        )

^{Created on 2020-03-02 by the reprex package (v0.3.0)}

Bắt đầu với lệnh gọi add_markers() trong reprex và ánh xạ error_x = ~ list(value = std.error), sau đó theo dõi cách giao diện R xử lý các giá trị thanh lỗi do người dùng cung cấp. Tái tạo biểu đồ bằng mô hình mtcars và xác nhận rằng các sai số chuẩn được cung cấp được hiển thị thay vì các giá trị mặc định 10%.