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Data Types - Names Attribute

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Programación R

Universidad Johns Hopkins

4.6 (14,337 calificaciones) | 410K estudiantes inscritos

Curso 2 de 10 en Ciencia de Datos Programa Especializado

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.

Destrezas que aprenderás

Data Analysis, Debugging, R Programming, Rstudio

Revisiones

4.6 (14,337 calificaciones)

5 stars
9,922 ratings
4 stars
3,205 ratings
3 stars
781 ratings
2 stars
241 ratings
1 star
188 ratings

AK

May 27, 2017

This was very engaging, however, the level of expectation and effort needed is much greater than course 1 - ToolBox.\n\nThis is perhaps the best course on R Programming designed for a small duration.

GB

Feb 03, 2016

Excelente opportunity to learn a lot. The course is very well prepared introduce you to R programing. Dont feel bad if you dont get it at te first moment. It will be a process of leaning worth trying

De la lección

Week 1: Background, Getting Started, and Nuts & Bolts

This week covers the basics to get you started up with R. The Background Materials lesson contains information about course mechanics and some videos on installing R. The Week 1 videos cover the history of R and S, go over the basic data types in R, and describe the functions for reading and writing data. I recommend that you watch the videos in the listed order, but watching the videos out of order isn't going to ruin the story.

Introduction1:20

Overview and History of R16:07

Getting Help13:53

R Console Input and Evaluation4:46

Data Types - R Objects and Attributes4:43

Data Types - Vectors and Lists6:27

Data Types - Matrices3:24

Data Types - Factors4:31

Data Types - Missing Values2:10

Data Types - Data Frames2:44

Data Types - Names Attribute1:49

Data Types - Summary0:43

Reading Tabular Data5:51

Reading Large Tables7:08

Textual Data Formats4:58

Connections: Interfaces to the Outside World4:35

Subsetting - Basics4:13

Subsetting - Lists4:45

Subsetting - Matrices2:50

Subsetting - Partial Matching1:42

Subsetting - Removing Missing Values3:59

Vectorized Operations3:46

Impartido por:

Roger D. Peng, PhD
Associate Professor, Biostatistics
Jeff Leek, PhD
Associate Professor, Biostatistics
Brian Caffo, PhD
Professor, Biostatistics

Transcripción

R objects can also have names.

So this not true for just data frames.

It's true for all r objects.

And this can be very useful for writing readable code and self describing objects.

So for example, I'm creating a vector that's an integer sequence 1, 2,

3 and by default, there's no name.

So when I call the names function on x, it gives me a null value.

However, I can, I can give a name to each element of the vector x.

So for example, if I, I can say the first element's called food,

the second element's called bar, and the third element's called norf.

So now when I print out my x vector, I get a vector 1, 2, 3 but

then each one has a name over it, which is the name I just specified.

And so when I call the names function I get the,

the names that are associated with each element of the vector foo, bar, and norf.

Lists can also have names.

And so for example here I'm creating a list with the list function

where the first element is called a, the second element is called b, and

the third element is called c.

And so when I print out the list, it prints out the names of each element and

the values associated with those names.

Finally matrices can have names.

These are called dim names.

So here I created a matrix from the sequence 1 to 4.

It's a two by two matrix.

And so the, when, when I use the dim names function I pass it a list.

Excuse me, I assign it a list.

Where the first element of the list is the, is the vector of row names and

the second element of the list is a vector of column names.

So here I want to name the rows a and b, and I want to name the columns c and d.

So that's what I passed to the dim names function.

And now when I print out my matrix I can see that the row names and

the column names are labeled as I wanted.

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