R for Data Science: Lunchbreak Lessons

R for Data Science: Lunchbreak Lessons
R for Data Science: Lunchbreak Lessons

English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 5h 24m | 814 MB
eLearning | Skill level: Intermediate


Programming is learned in small bits. You build on basic concepts. You transfer the knowledge you already have to the next language. Lunch Break Lessons teaches R—one of the most popular programming languages for data analysis and reporting—in short lessons that expand on what existing programmers already know.

The five minutes you spend each week will provide you with a building block you can use in the next two hours at work. Review language basics, discover methods to improve existing R code, explore new and interesting features, and learn about useful development tools and libraries that will make your time programming with R that much more productive.

+ Table of Contents

1 weighted.mean
2 Welcome
3 Exercise files
4 R built-in data sets
5 Vector math
6 Subsetting
7 R data types Basic types
8 R data types Vector
9 R data types List
10 zip and tar
11 R data types Factor
12 R data types Matrix
13 R data types Array
14 R data types Data frame
15 Data frames Order and merge
16 Data frames Read and update
17 Data frames rbind
18 Dataframes cbind
19 apply and lapply
20 mapply
21 plot
22 Brackets and double-brackets
23 mean, rowMeans, and colMeans
24 RSQLite
25 sqldf
26 Aggregate
27 Random numbers
28 Pipeline
29 Working with clipboards
30 Style guides
31 cut
32 split
33 askYesNo
34 cdplot
35 Fun
36 boxplot
37 Histogram
38 Plot to file
39 coplot
40 cowsay
41 table
42 Look inside
43 barplot
44 Pie chart
45 unlist
46 Joins Inner and full
47 Joins Left and right
48 Sets Union, intersect, and difference
49 Sets Equal and in
50 colors
51 ifelse
52 spineplot
53 browser
54 debugonce
55 Default mirror
56 Dealing with NA
57 Using with()
58 Simple string matching
59 grep
60 dotchart
61 fourfoldplot
62 matplot
63 dimnames
64 mosaicplot
65 stemplot
66 stripchart
67 sunflower
68 Switch
69 Switch on factors
70 Any all
71 sub, gsub, regex, and backreferences
72 agrep and fuzzy matching
73 combn finds combinations
74 edit, fix, and dataentry
75 zeallot
76 menu
77 person
78 txtProgressBar
79 bitwise
80 by is like tapply
81 Update your R
82 Be careful with transpose
83 Passwords
84 heatmap
85 combine
86 stopifnot