Text Formatting

I am writing a paragraph using plain text. The R Markdown makes use of YAML. I am using the following syntax to italicise, bold, superscript2, hyperlink to my Github and write inline equations using Latex such as \(y = m\mu + \sigma\).

  1. Here is an ordered list
  2. Miyano's albums by release order
    • Break
    • Wonder

I use double tab indents for the sub-items.

Tables

I manually enter a table like this

Table 1: Mean and Median for Speed and Distance

Variable Mean Median
Speed 15.40 15.0
Distance 42.98 36.0
library(knitr)
Warning message:
In readChar(file, size, TRUE) : truncating string with embedded nuls
knitr::kable(anscombe, caption = "Anscombe's Quartet Data")


Table: Anscombe's Quartet Data

| x1| x2| x3| x4|    y1|   y2|    y3|    y4|
|--:|--:|--:|--:|-----:|----:|-----:|-----:|
| 10| 10| 10|  8|  8.04| 9.14|  7.46|  6.58|
|  8|  8|  8|  8|  6.95| 8.14|  6.77|  5.76|
| 13| 13| 13|  8|  7.58| 8.74| 12.74|  7.71|
|  9|  9|  9|  8|  8.81| 8.77|  7.11|  8.84|
| 11| 11| 11|  8|  8.33| 9.26|  7.81|  8.47|
| 14| 14| 14|  8|  9.96| 8.10|  8.84|  7.04|
|  6|  6|  6|  8|  7.24| 6.13|  6.08|  5.25|
|  4|  4|  4| 19|  4.26| 3.10|  5.39| 12.50|
| 12| 12| 12|  8| 10.84| 9.13|  8.15|  5.56|
|  7|  7|  7|  8|  4.82| 7.26|  6.42|  7.91|
|  5|  5|  5|  8|  5.68| 4.74|  5.73|  6.89|

Chunks

summary(cars)
     speed           dist       
 Min.   : 4.0   Min.   :  2.00  
 1st Qu.:12.0   1st Qu.: 26.00  
 Median :15.0   Median : 36.00  
 Mean   :15.4   Mean   : 42.98  
 3rd Qu.:19.0   3rd Qu.: 56.00  
 Max.   :25.0   Max.   :120.00  
Warning message:
In readChar(file, size, TRUE) : truncating string with embedded nuls

I am going to report my R code inline by bracketing my work in two single quotes. For example, the mean speed was 15.4, *SD* = 5.29 with a sample size *n* = 50.

LS0tDQp0aXRsZTogIlIgQm9vdGNhbXA6IENvdXJzZSA0Ig0KYXV0aG9yOiAiRWxpemFiZXRoIENoYW4iDQpkYXRlOiAiU3VuZGF5LCBNYXkgOSwgMjAyMSINCm91dHB1dDogaHRtbF9ub3RlYm9vaw0KLS0tDQoNCmBgYHtyIHNldHVwLCBpbmNsdWRlPUZBTFNFfQ0Ka25pdHI6Om9wdHNfY2h1bmskc2V0KGVjaG8gPSBUUlVFKQ0KYGBgDQoNCiMgVGV4dCBGb3JtYXR0aW5nDQoNCkkgYW0gd3JpdGluZyBhIHBhcmFncmFwaCB1c2luZyBwbGFpbiB0ZXh0LiBUaGUgUiBNYXJrZG93biBtYWtlcyB1c2Ugb2YgWUFNTC4gSSBhbSB1c2luZyB0aGUgZm9sbG93aW5nIHN5bnRheCB0byAqaXRhbGljaXNlKiwgKipib2xkKiosIHN1cGVyc2NyaXB0XjJeLCBbaHlwZXJsaW5rIHRvIG15IEdpdGh1Yl0oaHR0cHM6Ly9naXRodWIuY29tL2VjaGFuMTkxMikgYW5kIHdyaXRlIGlubGluZSBlcXVhdGlvbnMgdXNpbmcgTGF0ZXggc3VjaCBhcyAkeSA9IG1cbXUgKyBcc2lnbWEkLg0KDQoNCiogSGVyZSBpcyBhbiB1bm9yZGVyZWQgbGlzdA0KKiBOYW1lDQogICAgICsgTWFtb3J1DQogICAgICsgTWl5YW5vDQoNCjEuIEhlcmUgaXMgYW4gb3JkZXJlZCBsaXN0DQoyLiBNaXlhbm8ncyBhbGJ1bXMgYnkgcmVsZWFzZSBvcmRlcg0KICAgICArIEJyZWFrDQogICAgICsgV29uZGVyDQogICAgDQpJIHVzZSBkb3VibGUgdGFiIGluZGVudHMgZm9yIHRoZSBzdWItaXRlbXMuDQoNCiMjIFRhYmxlcw0KDQpJIG1hbnVhbGx5IGVudGVyIGEgdGFibGUgbGlrZSB0aGlzDQoNCioqVGFibGUgMToqKiBNZWFuIGFuZCBNZWRpYW4gZm9yIFNwZWVkIGFuZCBEaXN0YW5jZQ0KDQpWYXJpYWJsZXxNZWFuIHxNZWRpYW4gDQotLS0tLS0tLXwtLS0tLXwtLS0tLS0gDQpTcGVlZCAgIHwxNS40MHwxNS4wIA0KRGlzdGFuY2V8NDIuOTh8MzYuMA0KDQpgYGB7cn0NCmxpYnJhcnkoa25pdHIpDQprbml0cjo6a2FibGUoYW5zY29tYmUsIGNhcHRpb24gPSAiQW5zY29tYmUncyBRdWFydGV0IERhdGEiKQ0KYGBgDQoNCiMjIyBDaHVua3MNCmBgYHtyfQ0Kc3VtbWFyeShjYXJzKQ0KYGBgDQoNCmBgYHtyLCBlY2hvPUZBTFNFfQ0KcGxvdChjYXJzKQ0KYGBgDQoNCmBgSSBhbSBnb2luZyB0byByZXBvcnQgbXkgUiBjb2RlIGlubGluZSBieSBicmFja2V0aW5nIG15IHdvcmsgaW4gdHdvIHNpbmdsZSBxdW90ZXMuIEZvciBleGFtcGxlLCB0aGUgbWVhbiBzcGVlZCB3YXMgMTUuNCwgKlNEKiA9IDUuMjkgd2l0aCBhIHNhbXBsZSBzaXplICpuKiA9IDUwLiBgYA0KDQo=