Last updated: 2020-11-01

Checks: 7 0

Knit directory: r4ds_book/

This reproducible R Markdown analysis was created with workflowr (version 1.6.2). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.

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The command set.seed(20200814) was run prior to running the code in the R Markdown file. Setting a seed ensures that any results that rely on randomness, e.g. subsampling or permutations, are reproducible.

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The results in this page were generated with repository version 3ec3460. See the Past versions tab to see a history of the changes made to the R Markdown and HTML files.

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    Ignored:    .Rproj.user/

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    Untracked:  analysis/images/
    Untracked:  code_snipp.txt

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These are the previous versions of the repository in which changes were made to the R Markdown (analysis/ch23_rmd_formats.Rmd) and HTML (docs/ch23_rmd_formats.html) files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view the files as they were in that past version.

File Version Author Date Message
html bf15f3b sciencificity 2020-11-01 Build site.
html 0aef1b0 sciencificity 2020-10-31 Build site.
html bdc0881 sciencificity 2020-10-26 Build site.
Rmd b7ebd72 sciencificity 2020-10-26 added Ch23

Set output format

There are two ways to set the output of a document:

  1. Modify the YAML header:

    title: "Viridis Demo"
    output: html_document
  2. Call rmarkdown::render() (useful if you want to produce multiple types of output):

    rmarkdown::render("diamond-sizes.Rmd", output_format = "word_document")

To get help: ?rmarkdown::html_document

Useful options

  1. Sending to decision makers? Use echo = FALSE in opts_chunk.

    knitr::opts_chunk$set(echo = FALSE)
  2. Want to include code but hide it? Use code_folding in YAML Header.

        code_folding: hide


You can create a flexdashboard using the code:

title: "Diamonds distribution dashboard"
output: flexdashboard::flex_dashboard

```{r setup, include = FALSE}
knitr::opts_chunk$set(fig.width = 5, fig.asp = 1/3)

## Column 1

### Carat

ggplot(diamonds, aes(carat)) + geom_histogram(binwidth = 0.1)

### Cut

ggplot(diamonds, aes(cut)) + geom_bar()

### Colour

ggplot(diamonds, aes(color)) + geom_bar()

## Column 2

### The largest diamonds

diamonds %>% 
  arrange(desc(carat)) %>% 
  head(100) %>% 
  select(carat, cut, color, price) %>% 

The rendered dashboard is here.


leaflet() %>%
  setView(174.764, -36.877, zoom = 16) %>% 
  addTiles() %>%
  addMarkers(174.764, -36.877, popup = "Maungawhau") 

R version 3.6.3 (2020-02-29)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 18363)

Matrix products: default

[1] LC_COLLATE=English_South Africa.1252  LC_CTYPE=English_South Africa.1252   
[3] LC_MONETARY=English_South Africa.1252 LC_NUMERIC=C                         
[5] LC_TIME=English_South Africa.1252    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] leaflet_2.0.3   workflowr_1.6.2

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.4.6      knitr_1.28        whisker_0.4       magrittr_1.5     
 [5] hms_0.5.3         R6_2.4.1          rlang_0.4.7       stringr_1.4.0    
 [9] tools_3.6.3       xfun_0.13         git2r_0.26.1      crosstalk_1.1.0.1
[13] ellipsis_0.3.1    htmltools_0.5.0   yaml_2.2.1        digest_0.6.25    
[17] rprojroot_1.3-2   lifecycle_0.2.0   tibble_3.0.3      crayon_1.3.4     
[21] readr_1.3.1       later_1.0.0       htmlwidgets_1.5.1 vctrs_0.3.2      
[25] promises_1.1.0    fs_1.4.1          glue_1.4.1        evaluate_0.14    
[29] rmarkdown_2.4     stringi_1.4.6     pillar_1.4.6      compiler_3.6.3   
[33] backports_1.1.6   jsonlite_1.7.0    httpuv_1.5.2      pkgconfig_2.0.3