On the chapter about Editable DataTable
we can find this :

This chapter includes recipes for:
    Reading the contents of the DataTable
    Filtering out null values
    Uploading data
    Determining which cell has changed 
    Adding or removing columns
    Adding or removing rows
    Clearable, deletable, renamable, and hideable colum

Many times when I search for some R plotly documentation, I come across a page with a broken shiny app, which essentially renders that page useless. I usually ignored it, but I realize now that it would have been much more productive to make note and report it! So I'll start now :)

The app here doesn't exist: https://plot.ly/r/shinyapp-linked-click/

I have two ggraphs to patch.

library(tidygraph)
library(ggraph) 

g1 <- gsi_wave1 %N>% 
  mutate(degree_sum = centrality_degree(mode = "all")) %>% 
  ggraph(layout = "kk") +
  geom_edge_link(aes(alpha = 0.5),
                 # Add arrow points 
                 arrow = arrow(length = unit(1, "mm")),
                 start_cap = circle(0.5, "mm"),
                 end_cap = cir

I really appreciate the work that you've put into engineering it so that we can create animated plots in R, but I would really appreciate if you could document examples (in the form of vignettes), and describe in more details the terms and metaphors used. I've been trying to use the gganimate package but I have been facing some problems with understanding what some of the terms / metaphors used in

There is some incompatible linking between our docs and the dplyr docs so that either it works with the current dplyr or the v1 version. I unlinked to work in both, but once v1 is released we will eventually want to add the links back and just have them not work if people have not updated the tidyverse.

The documentation of the nudge options does not specify the units of these values. It would help new users to clarify this.

They are probably in the same units as the data values for these axes? But they might’ve been relative units for the plotted axis (e.g. 0.5 would nudge the position by half of the axis length), or even absolute units for the plot (like the units for many of the other opti

Many of the issues filed for this package are unsurprisingly font related.

To help alleviate or even prevent these issues, the package needs:

• better documentation on fonts
• platform-specific helpers for installation & triage
• robust platform detection (down to version & patch level) to ensure the right font names are used on the right platform since legacy operating systems like Windo

The "components" returned from ml_pca() are NULL

# example
sc <- spark_connect(master = "local")
iris_tbl <- sdf_copy_to(sc, iris, name = "iris_tbl", overwrite = TRUE)

pca <- iris_tbl %>%
  select(-Species) %>%
  ml_pca()

pca$components
NULL

R session information:

devtools::session_info()
Session info -----------------------------------------------------------

• description of tibble may be out of date
• check tidy descriptions
• Do exercises still make sense
• Rerun comparisons
• warnings in 6.4.5
• rlang warnings

Under "Keeps factor by default levels now", the second chart shows 100% thing1. It seems like it should show 100% thing2, just like the chart immediately above. That's what is in the data.

Base R colors can be used to form palettes (i.e. c(orange, orange1, orange2, orange3, orange4)). Tian Zheng created a layout of all base R colors in alphabetic order.

When paginating a faceted plot that has an odd number of plots, so the last page's plots do not fill that page - I find that the ggplot title that is centered over the page, becomes centered over the remaining plots on the last page.

Code:

n_pages <- ceiling(length(levels(diamonds$cut)) * length(levels(diamonds$clarity)) / 3)

# Draw each page
for (i in seq_len(n_pages)) {
  p

add a matrix diagram plot type, as described here: https://bost.ocks.org/mike/miserables/

It doesn't benefit much from the interactive possibilities of D3, but it's a valid network visualization type, so to be complete we should consider it.

✔  checking examples (32s)
   Examples with CPU or elapsed time > 5s
                  user system elapsed
   hc_boost     13.712  0.027  13.743
   hc_colorAxis  5.029  0.579   4.617

Currently, use_tutorial() places learnr in "Suggests", which is ideal for package developers who want to include learnr tutorials as documentation.

In a teaching context, it is often more important to reduce user friction than to reduce dependencies. Thus, we'd like to create a "heavyweight"/learner-friendly option for use_tutorial() that would do the following:

1. place learnr in

Hello,
I have tried to find guidance on what s_shape is actually doing in geom_encircle() it is used in a number of the examples but not (as far as I can find) described anywhere?

Cheers

#108 could have been prevented if knit_print tests captured this breaking change.

Adding test examples checking for knit_print output should provide reasonably detailed tests for brief_entries(), detailed_entries() and bibliography_entries() outputs.

Reload homepage or navigate to any page, the "Built with..." text at the bottom left corner jumps up and down

A major advantage of moving to the package structure is that we can use pkgdown to create a slick website to replace the README. In addition to documenting the package functions, each major section of the README can be an individual vignette/article.

binder is an amazing tool for reproducible research. It would be great if we could make it easier for workflowr users to integrate binder into their research projects.

An idea for a function, e.g. wflow_use_binder(), would perform the following steps:

1. Search all the published R Markdown files for library() calls (and related pkg usage, e.

This is a suggested code or documentation change, improvement to the code, or feature request

The package is great works in most conditions (many thanks for this) but also makes lazy that I don't want to wrangle misread pdf pages. Hence, I'd like to request below.

Provide a parameter/method to specify the number of columns; start and end co-ordinates of each column so that table is extracted

The basic idea is to have a metrics package, we can start with ROC/AUC (first on GPU, then if necessary on CPU). It should mimic the SKLearn API and results:

http://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html

Requirements:

1. GPU implementation. It can use Thrust and other libraries as first step.
2. Bindings for other languages (currently CTypes but soo

When hitting "Send Regex To Console" in the Output tab, the console shows something like the following:

pattern <- "\w+ " # perl=TRUE
replacement <- "NO "

Wouldn't be better to integrate the parameters into the actual function used? In this case, it could translate into:

sub(pattern = "\w+",
replacement = "NO ",
x = readr::read_file("LICENSE"),
perl