Plotting functions in Julia suddenly doesn't work - function

Yesterday I was playing with Julia, plotting various different functions and variables. And suddenly a very important feature stopped working. I cant plot a function with a simple "plot(f)" command. I would love some help, because this features simplifies my work greatly.
I tried to recompile the packages I used, yet it didn't help any.
I need to plot distributions and also my own functions (one variable).
I'm using packages Distributions.jl and StatsPlots.jl
There's a simple example that I know did work - but now it doesn't:
using Distributions
using StatsPlots
f(x) = x^2
plot(f)
It gives me this error:
ERROR: MethodError: no method matching Float64(::Array{Float64,1})
Closest candidates are:
Float64(::Int8) at float.jl:60
Float64(::Int16) at float.jl:60
Float64(::Int32) at float.jl:60
...
Stacktrace:
[1] (::getfield(Plots, Symbol("##108#109")){Symbol})(::Array{Float64,1}) at C:\Users\masen\.julia\packages\Plots\47Tik\src\axes.jl:152
[2] _broadcast_getindex at .\broadcast.jl:578 [inlined]
[3] (::getfield(Base.Broadcast, Symbol("##19#20")){Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,getfield(Plots, Symbol("##108#109")){Symbol},Tuple{Tuple{Array{Float64,1},Array{Float64,1}}}}})(::Int64) at .\broadcast.jl:953
[4] ntuple at .\tuple.jl:160 [inlined]
[5] copy at .\broadcast.jl:953 [inlined]
[6] materialize(::Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,getfield(Plots, Symbol("##108#109")){Symbol},Tuple{Tuple{Array{Float64,1},Array{Float64,1}}}}) at .\broadcast.jl:753
[7] _scaled_adapted_grid(::Function, ::Symbol, ::Symbol, ::Float64, ::Float64) at C:\Users\masen\.julia\packages\Plots\47Tik\src\series.jl:542
[8] macro expansion at C:\Users\masen\.julia\packages\Plots\47Tik\src\series.jl:529 [inlined]
[9] apply_recipe(::Dict{Symbol,Any}, ::Function, ::Float64, ::Float64) at C:\Users\masen\.julia\packages\RecipesBase\zBoFG\src\RecipesBase.jl:275
[10] _process_userrecipes(::Plots.Plot{Plots.GRBackend}, ::Dict{Symbol,Any}, ::Tuple{typeof(f)}) at C:\Users\masen\.julia\packages\Plots\47Tik\src\pipeline.jl:83
[11] _plot!(::Plots.Plot{Plots.GRBackend}, ::Dict{Symbol,Any}, ::Tuple{typeof(f)}) at C:\Users\masen\.julia\packages\Plots\47Tik\src\plot.jl:178
[12] #plot#137(::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}, ::Function, ::Function) at C:\Users\masen\.julia\packages\Plots\47Tik\src\plot.jl:57
[13] plot(::Function) at C:\Users\masen\.julia\packages\Plots\47Tik\src\plot.jl:51
[14] top-level scope at none:0

Related

Recognizing and Keeping Elements Containing Certain Patterns in a List

I want to try and webscrape my own Stackoverflow Profiles! By this I mean, get an html link of every question I have ever asked:
https://stackoverflow.com/users/18181916/antonoyaro8
https://math.stackexchange.com/users/1024449/antonoyaro8
I tried to do this follows:
library(rvest)
library(httr)
library(XML)
url<-"https://stackoverflow.com/users/18181916/antonoyaro8?tab=questions&sort=newest"
page <-read_html(url)
resource <- GET(url)
parse <- htmlParse(resource)
links <- list(xpathSApply(parse, path="//a", xmlGetAttr, "href"))
I tried to pick up on a pattern and noticed that all links with questions have some number - so I tried to write a code that checks if elements in the list contain a number and keep these links:
rv <- c("1", "2", "3", "4", "5", "6", "7", "8", "9", "0")
final <- unique (grep(paste(rv,collapse="|"),
links, value=TRUE))
But I don't think I am doing this correctly - apart from the messy formatting, the final file is returning links that do not contain any numbers at all.
Can someone please show me how to webscrape these links properly, and then repeat this for all pages (e.g. https://stackoverflow.com/users/18181916/antonoyaro8?tab=questions&sort=newest, https://stackoverflow.com/users/18181916/antonoyaro8?tab=questions&sort=newest&page=2, https://stackoverflow.com/users/18181916/antonoyaro8?tab=questions&sort=newest&page=3)
Worse come to worst, if I can do it for one of these pages, I can manually copy/paste the code for all pages and proceed that way.
Thank you!
The output is a list of length 1. We need to extract ([[) the element before applying the grep
unique (grep(paste(rv,collapse="|"),
links[[1]], value=TRUE))
Note that the rv includes numbers 0 to 9 and it can match a digit if it is present anywhere in the link. If the intention is to subset the digits following the questions
grep("questions/\\d+", links[[1]], value = TRUE)
-output
[1] "/questions/72859976/recognizing-and-keeping-elements-containing-certain-patterns-in-a-list"
[2] "/questions/72843570/combing-two-selections-together"
[3] "/questions/72840913/selecting-rows-from-a-table-based-on-a-list"
[4] "/questions/72840624/even-out-table-in-r"
[5] "/questions/72840548/creating-a-dictionary-reference-table"
[6] "/questions/72837147/sequentially-replacing-factor-variables-with-numerical-values"
[7] "/questions/72822951/scanning-and-replacing-values-of-rows-in-r"
[8] "/questions/72822781/alternative-to-do-callrbind-data-frame-for-combining-a-list-of-data-frames"
[9] "/questions/72738885/referencing-a-query-in-another-query"
[10] "/questions/72725108/defining-cte-common-table-expressions-in-r"
[11] "/questions/72723768/creating-an-id-variable-on-the-spot"
[12] "/questions/72720013/selecting-data-using-conditions-stored-in-a-variable"
[13] "/questions/72717135/effecient-ways-to-append-sql-results-in-r"
...
If there are multiple pages, add the page= with paste or sprintf
urls <- c(url, sprintf("%s&page=%d", url, 2:3))
out_lst <- lapply(urls, function(url)
{
page <-read_html(url)
resource <- GET(url)
parse <- htmlParse(resource)
links <- list(xpathSApply(parse, path="//a", xmlGetAttr, "href"))
grep("questions/\\d+", links[[1]], value = TRUE)
})
-output
> out_lst
[[1]]
[1] "/questions/72859976/recognizing-and-keeping-elements-containing-certain-patterns-in-a-list"
[2] "/questions/72843570/combing-two-selections-together"
[3] "/questions/72840913/selecting-rows-from-a-table-based-on-a-list"
[4] "/questions/72840624/even-out-table-in-r"
[5] "/questions/72840548/creating-a-dictionary-reference-table"
[6] "/questions/72837147/sequentially-replacing-factor-variables-with-numerical-values"
[7] "/questions/72822951/scanning-and-replacing-values-of-rows-in-r"
[8] "/questions/72822781/alternative-to-do-callrbind-data-frame-for-combining-a-list-of-data-frames"
[9] "/questions/72738885/referencing-a-query-in-another-query"
[10] "/questions/72725108/defining-cte-common-table-expressions-in-r"
[11] "/questions/72723768/creating-an-id-variable-on-the-spot"
[12] "/questions/72720013/selecting-data-using-conditions-stored-in-a-variable"
[13] "/questions/72717135/effecient-ways-to-append-sql-results-in-r"
[14] "/questions/72710448/removing-files-from-global-environment-with-a-certain-pattern"
[15] "/questions/72710203/r-sql-is-the-default-option-sampling-with-replacement"
[16] "/questions/72695401/allocating-max-memory-in-r"
[17] "/questions/72681898/randomly-delete-columns-from-datasets"
[18] "/questions/72663516/are-rds-files-more-efficient-than-csv-files"
[19] "/questions/72625690/importing-files-using-list-files"
[20] "/questions/72623856/second-most-common-element-in-each-row"
[21] "/questions/72623744/counting-the-position-where-a-pattern-is-completed"
[22] "/questions/72620501/bulk-import-export-files-from-r"
[23] "/questions/72613413/counting-every-position-where-a-pattern-appears"
[24] "/questions/72612577/counting-the-position-of-the-first-0-in-each-row"
[25] "/questions/72607160/taking-averages-across-lists"
[26] "/questions/72589276/functions-for-finding-out-the-midpoint-interpolation"
[27] "/questions/72587298/sandwiching-values-between-rows"
[28] "/questions/72569338/integration-error-lengthlower-1-is-not-true"
[29] "/questions/72568817/synchronizing-nas-in-r"
[30] "/questions/72568661/finding-the-loser-in-each-row"
[[2]]
[1] "/questions/72566170/making-a-race-between-two-variables"
[2] "/questions/72418723/making-a-list-of-random-numbers"
[3] "/questions/72418364/random-uniform-numbers-without-runif"
[4] "/questions/72353102/integrate-normal-distribution-between-2-values"
[5] "/questions/72174868/placing-commas-between-names"
[6] "/questions/72163297/simulate-flipping-french-fries-in-r"
[7] "/questions/71982286/alternatives-to-the-partition-by-statement-in-sql"
[8] "/questions/71970960/converting-lists-into-data-frames"
[9] "/questions/71970672/random-numbers-are-too-similar-to-each-other"
[10] "/questions/71933753/making-combinations-of-items"
[11] "/questions/71874791/sorting-rows-in-specified-order"
[12] "/questions/71866097/hiding-the-legend-in-this-graph"
[13] "/questions/71866048/understanding-the-median-in-this-graph"
[14] "/questions/71852517/nas-produced-when-number-of-iterations-increase"
[15] "/questions/71791906/assigning-unique-colors-to-multiple-lines-on-a-graph"
[16] "/questions/71787336/finding-identical-rows-in-multiple-datasets"
[17] "/questions/71758983/multiple-replace-lookups"
[18] "/questions/71758648/create-ascending-id-in-a-data-frame"
[19] "/questions/71731208/webscraping-data-which-pokemon-can-learn-which-attacks"
[20] "/questions/71728273/webscraping-pokemon-data"
[21] "/questions/71683045/identifying-smallest-element-in-each-row-of-a-matrix"
[22] "/questions/71671488/connecting-all-nodes-together-on-a-graph"
[23] "/questions/71641774/overriding-colors-in-ggplot2"
[24] "/questions/71641404/applying-a-function-to-a-data-frame-lapply-vs-traditional-way"
[25] "/questions/71624111/sending-emails-from-r"
[26] "/questions/71623019/sql-joining-tables-from-2-different-servers-r-vs-sas"
[27] "/questions/71429265/overriding-sql-errors-during-r-uploads"
[28] "/questions/71429129/splitting-a-dataset-into-uneven-portions"
[29] "/questions/71418533/multiplying-and-adding-values-across-rows"
[30] "/questions/71417489/tricking-an-sql-server-to-accept-a-file-from-r"
[[3]]
[1] "/questions/71417218/splitting-a-dataset-into-arbitrary-sections"
[2] "/questions/71398804/plotting-vector-fields-and-gradient-fields"
[3] "/questions/71387596/animating-the-mandelbrot-set"
[4] "/questions/71358405/repeat-a-set-of-ids-for-every-n-rows"
[5] "/questions/71344822/time-series-graphs-with-different-symbols"
[6] "/questions/71341865/creating-a-data-frame-with-commas"
[7] "/questions/71287944/converting-igraph-to-visnetwork"
[8] "/questions/71282863/fixing-the-first-and-last-numbers-in-a-random-list"
[9] "/questions/71282403/adding-labels-to-graph-nodes"
[10] "/questions/71262761/understanding-list-and-do-call-commands"
[11] "/questions/71261431/adjusting-graph-layouts"
[12] "/questions/71255038/overriding-non-existent-components-in-a-loop"
[13] "/questions/71244872/fixing-cluttered-titles-on-graphs"
[14] "/questions/71243676/directly-adding-titles-and-labels-to-visnetwork"
[15] "/questions/71232353/removing-all-edges-in-igraph"
[16] "/questions/71230273/writing-a-function-that-references-elements-in-a-matrix"
[17] "/questions/71227260/generating-random-graphs-according-to-some-conditions"
[18] "/questions/71087349/adding-combinations-of-numbers-in-a-matrix"

Shiny not displaying table with HTML/JSON error message

I'm trying to put together a simply shiny app that will send a search request, return a data frame and display it in the UI. When I run the app, everything appears to be functioning correctly at first but when I run a query I get an html/json error.
Here is the code:
ui <- fluidPage(
# Application title
titlePanel("My App"),
sidebarLayout(
sidebarPanel(
textInput('dataset_name',
'Dataset:',
placeholder = 'Name')
,
br(),
actionButton("button", "Search"),
),
mainPanel(
tableOutput('userTable')
),
position = c("left"),
fluid=FALSE
)
)
server <- function(input, output) {
ut.df <- eventReactive(input$button, {
ds <- dataSearch(input$datset_name)
return(ds)
})
output$userTable <- renderTable({ut.df()})
}
dataSearch is the function I've created to send the input$dataset_name value to an api call and return a dataframe of the results. I've tested the function and it parses the response JSON and returns the dataframe without issue.
When I run the shiny app the page loads with no problem but when I submit a query, instead of rendering the data frame as a table I get:
Warning: Error in : lexical error: invalid char in json text.
<!DOCTYPE HTML PUBLIC "-//W3C//
(right here) ------^
Can anyone explain why the table is not being rendered and why shiny seems to think the html code is a json file?
Session info:
R version 4.1.2 (2021-11-01)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19042)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] DT_0.20 jsonlite_1.7.2 httr_1.4.2 shiny_1.7.1
loaded via a namespace (and not attached):
[1] Rcpp_1.0.7 jquerylib_0.1.4 bslib_0.3.1 compiler_4.1.2
[5] pillar_1.6.4 later_1.3.0 neo4r_0.1.1 tools_4.1.2
[9] digest_0.6.28 lattice_0.20-45 lifecycle_1.0.1 tibble_3.1.6
[13] png_0.1-7 pkgconfig_2.0.3 rlang_0.4.12 Matrix_1.3-4
[17] cli_3.1.0 rstudioapi_0.13 crosstalk_1.2.0 yaml_2.2.1
[21] curl_4.3.2 fastmap_1.1.0 withr_2.4.2 dplyr_1.0.7
[25] htmlwidgets_1.5.4 sass_0.4.0 rappdirs_0.3.3 generics_0.1.1
[29] vctrs_0.3.8 rprojroot_2.0.2 grid_4.1.2 attempt_0.3.1
[33] tidyselect_1.1.1 fontawesome_0.2.2 here_1.0.1 reticulate_1.22
[37] glue_1.5.0 data.table_1.14.2 R6_2.5.1 fansi_0.5.0
[41] purrr_0.3.4 tidyr_1.1.4 magrittr_2.0.1 promises_1.2.0.1
[45] ellipsis_0.3.2 htmltools_0.5.2 mime_0.12 xtable_1.8-4
[49] httpuv_1.6.3 utf8_1.2.2 cachem_1.0.6 crayon_1.4.2
This error means that the document you're trying to read with {jsonlite} is not a JSON file, but an HTML file.
For example, you can reproduce this error with:
> jsonlite::read_json("https://google.com")
Error in parse_con(txt, bigint_as_char) :
lexical error: invalid char in json text.
<!DOCTYPE html><html lang="fr"
(right here) ------^
So you need to make sure that the JSON you're reading is correct.
Colin

JuliaPro: Error when trying: Pkg.add("DataFrames")

When I try to install the package DataFrames it results in an error.
How can I get DataFrames installed?
I am using Julia Pro v1.0.2.1, Atom, Windows 10.
I have tried typing: Pkg.add("DataFrames") in the REPL.
I have tried to restart or turn off/turn on PC and retry.
In the JuliaPro folder in my C-drive there is a folder named "DataFrames".
julia> Pkg.add("DataFrames")
Resolving package versions...
ERROR: Unsatisfiable requirements detected for package ForwardDiff [f6369f11]:
ForwardDiff [f6369f11] log:
├─possible versions are: [0.0.2-0.0.3, 0.1.0-0.1.8, 0.2.0-0.2.5, 0.3.0-0.3.5, 0.4.0-0.4.2, 0.5.0, 0.6.0, 0.7.0-0.7.5, 0.8.0-0.8.5, 0.9.0, 0.10.0-0.10.3] or uninstalled
├─restricted by compatibility requirements with JuMP [4076af6c] to versions: [0.5.0, 0.6.0, 0.7.0-0.7.5, 0.8.0-0.8.5, 0.9.0]
│ └─JuMP [4076af6c] log:
│ ├─possible versions are: [0.1.1-0.1.2, 0.2.0, 0.3.0-0.3.2, 0.4.0-0.4.1, 0.5.0-0.5.8, 0.6.0-0.6.3, 0.7.0-0.7.4, 0.8.0, 0.9.0-0.9.3, 0.10.0-0.10.3, 0.11.0-0.11.3, 0.12.0-0.12.2, 0.13.0-0.13.2, 0.14.0-0.14.2, 0.15.0-0.15.1, 0.16.0-0.16.2, 0.17.0-0.17.1, 0.18.0-0.18.5, 0.19.0] or uninstalled
│ └─restricted to versions 0.18.5 by an explicit requirement, leaving only versions 0.18.5
├─restricted by julia compatibility requirements to versions: [0.9.0, 0.10.0-0.10.3] or uninstalled, leaving only versions: 0.9.0 └─restricted by compatibility requirements with DiffRules [b552c78f] to versions: [0.0.2-0.0.3, 0.1.0-0.1.8, 0.2.0-0.2.5, 0.3.0-0.3.5, 0.4.0-0.4.2, 0.5.0, 0.6.0, 0.7.0-0.7.1, 0.10.0-0.10.3] or uninstalled — no versions left
└─DiffRules [b552c78f] log:
├─possible versions are: 0.0.1-0.0.10 or uninstalled
└─restricted by julia compatibility requirements to versions: 0.0.8-0.0.10 or uninstalled
Stacktrace:
[1] #propagate_constraints!#61(::Bool, ::Function, ::Pkg.GraphType.Graph, ::Set{Int64}) at C:\Users\julia\AppData\Local\Julia-1.0.2\share\julia\stdlib\v1.0\Pkg\src\GraphType.jl:1005
[2] propagate_constraints! at C:\Users\julia\AppData\Local\Julia-1.0.2\share\julia\stdlib\v1.0\Pkg\src\GraphType.jl:946 [inlined] [3] #simplify_graph!#121(::Bool, ::Function, ::Pkg.GraphType.Graph, ::Set{Int64}) at C:\Users\julia\AppData\Local\Julia-1.0.2\share\julia\stdlib\v1.0\Pkg\src\GraphType.jl:1460
[4] simplify_graph! at C:\Users\julia\AppData\Local\Julia-1.0.2\share\julia\stdlib\v1.0\Pkg\src\GraphType.jl:1460 [inlined] (repeats 2 times)
[5] macro expansion at .\logging.jl:317 [inlined]
[6] resolve_versions!(::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}, ::Nothing) at C:\Users\julia\AppData\Local\Julia-1.0.2\share\julia\stdlib\v1.0\Pkg\src\Operations.jl:354
[7] resolve_versions! at C:\Users\julia\AppData\Local\Julia-1.0.2\share\julia\stdlib\v1.0\Pkg\src\Operations.jl:317 [inlined]
[8] #add_or_develop#62(::Array{Base.UUID,1}, ::Symbol, ::Function, ::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}) at C:\Users\julia\AppData\Local\Julia-1.0.2\share\julia\stdlib\v1.0\Pkg\src\Operations.jl:1223
[9] #add_or_develop at .\none:0 [inlined]
[10] #add_or_develop#13(::Symbol, ::Bool, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}, ::Function, ::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}) at C:\Users\julia\AppData\Local\Julia-1.0.2\share\julia\stdlib\v1.0\Pkg\src\API.jl:64
[11] #add_or_develop at .\none:0 [inlined]
[12] #add_or_develop#12 at C:\Users\julia\AppData\Local\Julia-1.0.2\share\julia\stdlib\v1.0\Pkg\src\API.jl:29 [inlined]
[13] #add_or_develop at .\none:0 [inlined]
[14] #add_or_develop#11 at C:\Users\julia\AppData\Local\Julia-1.0.2\share\julia\stdlib\v1.0\Pkg\src\API.jl:28 [inlined]
[15] #add_or_develop at .\none:0 [inlined]
[16] #add_or_develop#10 at C:\Users\julia\AppData\Local\Julia-1.0.2\share\julia\stdlib\v1.0\Pkg\src\API.jl:27 [inlined]
[17] #add_or_develop at .\none:0 [inlined]
[18] #add#18 at C:\Users\julia\AppData\Local\Julia-1.0.2\share\julia\stdlib\v1.0\Pkg\src\API.jl:69 [inlined]
[19] add(::String) at C:\Users\julia\AppData\Local\Julia-1.0.2\share\julia\stdlib\v1.0\Pkg\src\API.jl:69
[20] top-level scope at none:0
I would like the DataFrames package installed.
Eventually I installed Julia and Atom seperatly. Using this setup instead of JuliaPro is as blessing :-)

trying to Upload .rmd file to wordpress

I'm having trouble uploading .rmd file to wordpress. I'm not exactly sure what's going on but the error suggests I don't have privileges to remotely publish to wordpress even though from what I understand Wordpress allows remote publishing even for free accounts. I've searched all the wordpress R queries on stack overflow and nothing seems to work. Here's my work flow:
devtools:::install_github("duncantl/RWordPress", force=T)
library(RWordPress)
# Set login parameters (replace admin,password and blog_url!)
options(WordPressLogin = c(admin = 'password'), WordPressURL = 'blog_url/xmlrpc.php')
library(markdown)
library(knitr)
options(markdown.HTML.options = c(markdownHTMLOptions(default = T),"toc"))
# Upload plots: set knitr options
opts_knit$set(upload.fun = function(file){library(RWordPress);uploadFile(file)$url;})
postThumbnail <- RWordPress::uploadFile("File.rmd",overwrite = TRUE)
That produces the following error:
Error: faultCode: 401 faultString: You do not have permission to upload files.
I also tried the following:
knit2wp('fake.rmd', title = 'TITLE', publish = FALSE)
And that produces the same error.
Here's my session info:
sessionInfo()
R version 3.3.0 (2016-05-03)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
Running under: OS X 10.11.5 (El Capitan)
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets
[6] methods base
other attached packages:
[1] ggplot2_2.1.0 rmarkdown_1.0 knitr_1.13
[4] markdown_0.7.7 RWordPress_0.2-3
loaded via a namespace (and not attached):
[1] Rcpp_0.12.5 formatR_1.4
[3] plyr_1.8.3 bitops_1.0-6
[5] base64enc_0.1-3 tools_3.3.0
[7] digest_0.6.10 jsonlite_1.0
[9] evaluate_0.9 tibble_1.1
[11] gtable_0.2.0 viridisLite_0.1.3
[13] lattice_0.20-33 png_0.1-7
[15] DBI_0.4-1 mapproj_1.2-4
[17] proto_0.3-10 gridExtra_2.2.1
[19] dplyr_0.5.0 httr_1.2.1
[21] stringr_1.0.0 caTools_1.17.1
[23] RgoogleMaps_1.2.0.7 htmlwidgets_0.7
[25] maps_3.1.0 grid_3.3.0
[27] R6_2.1.2 jpeg_0.1-8
[29] plotly_4.1.0 XML_3.98-1.4
[31] RSelenium_1.4.2 RJSONIO_1.3-0
[33] sp_1.2-3 ggmap_2.6.1
[35] tidyr_0.5.1 reshape2_1.4.1
[37] magrittr_1.5 XMLRPC_0.3-0
[39] scales_0.4.0 htmltools_0.3.5
[41] assertthat_0.1 formattable_0.2
[43] colorspace_1.2-6 geosphere_1.5-1
[45] labeling_0.3 stringi_1.0-1
[47] RCurl_1.95-4.8 lazyeval_0.2.0
[49] munsell_0.4.3 rjson_0.2.15
I'd also like to note, I checked the password and username and they're both correct (if I enter incorrect information I get a different error indicating that). I've also gotten a similar error trying user written functions:
Error: faultCode: 401 faultString: Sorry, you are not allowed to publish posts on this site.
By the way, when I run getUsersBlogs() I get:
$isAdmin
[1] TRUE
$isPrimary
[1] TRUE
$url
[1] "https://blogname.wordpress.com/"
$blogid
[1] "115210981"
$blogName
[1] "Site Title"
$xmlrpc
[1] "https://blogname.wordpress.com/xmlrpc.php"
As implied by #Lloyd Christmas, the problem is with your specification of options. If you change "WordPressURL" to "WordpressURL", you'll probably be fine.

Format JSON data using tidyjson

I would love to use the tidyjson package as it seems to have very clear instructions on how to use it.
However, I am having a few issues. Could you please help check and let me know if these are user issues or something else.
I am using the world_bank.json data downloaded from http://jsonstudio.com/resources/
worldbank <- fromJSON(file = "world_bank.json")
I do see that a list of 50 in Rstudio. However, when I try to use read_json, I get the below error.
> read_json(worldbank, format = "json")
Error in file.info(path) : invalid filename argument
> worldbank[[1]] %>% prettify
Error: parse error: trailing garbage
52b213b38594d8a2be17c780
(right here) ------^
Use jsonlite::stream_in as lizzy suggested with stream unzip:
> download.file("http://jsonstudio.com/wp-content/uploads/2014/02/world_bank.zip", "world_bank.zip")
> world_bank <- jsonlite::stream_in(unz("world_bank.zip", "world_bank.json"))
> names(world_bank)
[1] "_id" "approvalfy" "board_approval_month"
[4] "boardapprovaldate" "borrower" "closingdate"
[7] "country_namecode" "countrycode" "countryname"
[10] "countryshortname" "docty" "envassesmentcategorycode"
[13] "grantamt" "ibrdcommamt" "id"
[16] "idacommamt" "impagency" "lendinginstr"
[19] "lendinginstrtype" "lendprojectcost" "majorsector_percent"
[22] "mjsector_namecode" "mjtheme" "mjtheme_namecode"
[25] "mjthemecode" "prodline" "prodlinetext"
[28] "productlinetype" "project_abstract" "project_name"
[31] "projectdocs" "projectfinancialtype" "projectstatusdisplay"
[34] "regionname" "sector" "sector1"
[37] "sector2" "sector3" "sector4"
[40] "sector_namecode" "sectorcode" "source"
[43] "status" "supplementprojectflg" "theme1"
[46] "theme_namecode" "themecode" "totalamt"
[49] "totalcommamt" "url"