How did you build the website? You should not simply run system('hugo') when you have Rmd posts. You have to use blogdown::build_site() instead, or publish the public directory after you call blogdown::serve_site().

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I run the serve_site() function and this is what I see locally as well. It has now happened with another page which had been working fine i.e. only accessible if full url is put in and does not appear in recent posts. Also the plot expected to appear no longer does

here is code

---
title: "Hansard"
author: "Andrew Clark"
date: 2016-11-17
categories: ["packages"] 
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(collapse = TRUE)

UK 2015 Election

I like to check out new and enhanced R packages, particularly those relating to socio-economic issues and sports

A recent new entry is hansard, which pulls data from the UK Parliament API.

Other required packages, which I will make extensive use of in future code extracts, are tidyverse, for data preparation and processing, and
plotly, for a wide set of interactive graphics

The election_results() function retrieves all the results. It takes about 10 seconds to process so I have saved it in a csv file for retrieval in any future manipulation

library(hansard)
library(plotly)
library(tidyverse)

# This function retrieves all the election results and takes a few seconds and has been saved previously

#election_results <- election_results()
#write_csv(election_results,"data/election_results.csv")

#read the saved file
results <- read_csv("../../data/election_results.csv")
# view data.frame
results

Let's say we were interested in how the size of majority is associated with the level of turnout. It might be hypothesised that those constituencies where a tight race was anticipated would have the highest turn-outs - where every vote might count

# filter out unwanted rows and calculate a couple of percentages

df <- results %>%
filter(election.label._value == "2015 General Election") %>% #650
mutate(
to_pc = round(100 * turnout / electorate, 1),
margin_pc = round(100 * majority / turnout, 1)
)

# plot the data, adding a custom info-action
df %>%
plot_ly(
x =  ~ to_pc,
y =  ~ margin_pc,
color = ~ resultOfElection,
hoverinfo = "text",
text = ~ paste0(
constituency.label._value,
"<br>",
resultOfElection,
"<br>Turnout:",
to_pc,
"%<br>Margin:",
margin_pc,
"%"
)
) %>%
layout(
title = "2015 UK General Election Winners Margin and Turnout Percentage",
xaxis = list(title = "% Turnout"),
yaxis = list(title = "% Winner Margin")
) %>%
config(displayModeBar = F, showLink = F)

Well maybe.. but for those of you wanting to model it feel free. What is highlighted is the 'wasted' votes in Labour strongholds.

Hover over any point, if desired after selecting and zooming, for more details

There are plenty more functions within the package and the creator, Evan Odell is actively developing it

I'll recreate the posts under another name to see if that helps

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Can I see the source repository of this website? I cannot think of anything only by looking at this single post.

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I had already deleted the files and recreated under another name and am no longer getting this error. If it reappears, I will reopen with screenshots

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