Tutorial on 80% of everything you will EVER need to know in R (for ecology) [IN ONE HOUR]! скачать в хорошем качестве

Tutorial on 80% of everything you will EVER need to know in R (for ecology) [IN ONE HOUR]!

Walkthrough on the most common functions in R (for ecologists) cheatsheet Link to the cheat sheet: https://www.rforecology.com/post/the-... Link to download the scripts from the video: https://www.rforecology.com/post/vide... Link to the Basics of R (for Ecologists) course: https://www.rforecology.com/ Link to tutorial on basic linear regression: https://www.rforecology.com/post/how-... TIMESTAMPS (I know, it's long!): 0:00:00 Introduction to This Video 0:00:58 Getting Started 0:01:35 Creating Vectors with `c()` 0:02:06 Finding Vector Sums with `sum()` 0:02:53 Finding Vector Length with `length()` 0:03:29 # of Unique Values with `unique()` 0:04:21 Converting to Number Format with `as.numeric()` 0:05:46 Taking the Logarithm with `log()` 0:06:36 Ordering Vectors with `sort()` 0:07:48 Finding Missing Data with `is.na()` 0:10:28 Finding Vector Matches with `%in%` 0:12:19 Parsing Dates Using Lubridate 0:15:01 Creating Numeric Sequences using `seq()` and `rep()` 0:16:34 Finding String Patterns with `grepl()` 0:18:55 Loading and Saving Data using `read.csv()` and `write.csv()` 0:19:50 Locating Your Working Directory with `getwd()` 0:21:37 Why NOT to use `setwd()` 0:23:29 Creating Custom Functions 0:26:48 Installing and Loading Packages with `install.packages()` and `library()` 0:28:00 Getting Help with `help()` 0:29:11 Accessing Built-in Datasets with `data()` 0:32:50 Visualizing Data Using `plot()`, `hist()`, and `abline()` 0:39:17 Getting Data Frame Columns using `names()` 0:40:37 Creating Data Frames and Tibbles 0:48:13 Creating a Matrix using `as.matrix()` 0:48:44 Swapping Rows and Columns using `t()` 0:49:18 Functions to View Your Data Frame 0:50:40 Joining Tables using `left_join()` 0:57:34 Using dplyr functions (select, filter, mutate, summarize, group_by) 1:09:54 Creating and Understanding Linear Models using `lm()` and `summary()` 1:13:17 Basic Summary Statistics (mean, max, min, median) 1:15:04 Summarizing Data using `table()`