- R Data Visualization Cookbook
- Atmajitsinh Gohil
- 193字
- 2021-08-06 19:21:07
Data frames in R
One of the useful and widely used functions in R is the data.frame()
function. Data frame, according to the R manual, is a matrix structure whose columns can be of differing types, such as numeric, logical, factor, or character.
How to do it…
A data frame in R is a collection of variables. A simple way to construct a data frame is using the data.frame()
function in R:
data = data.frame(x = c(1:4), y = c("tom","jerry","luke","brian")) data
Many times, we will encounter plotting functions that require data to be in a data frame. In order to coerce our data into a data frame, we can use the data.frame()
function. In the following example, we create a matrix and convert it into a data frame:
mat = matrix(c(1:10), nrow = 2, ncol = 5) data.frame(mat)
The data.frame()
function comes with various arguments and can be explored by typing ?data.frame
in the R console window. The code file under the title Data Frames – 2
provides additional functions that can help in understanding the underlying structure of our data. We can always get additional help by using the R documentation.
- 自制編譯器
- Java Web及其框架技術
- UML+OOPC嵌入式C語言開發(fā)精講
- Banana Pi Cookbook
- Building Mapping Applications with QGIS
- 精通Python自然語言處理
- Jupyter數(shù)據(jù)科學實戰(zhàn)
- Spring Boot企業(yè)級項目開發(fā)實戰(zhàn)
- jQuery炫酷應用實例集錦
- C++寶典
- 打開Go語言之門:入門、實戰(zhàn)與進階
- Unity 2018 Augmented Reality Projects
- Python數(shù)據(jù)預處理技術與實踐
- iOS Development with Xamarin Cookbook
- 從零開始學UI設計·基礎篇