Все публикации

0:18:01

Introduction to RStudio

0:08:21

Introduction to cross validation

0:11:25

Introduction to GAM models

0:17:26

Project Management in RStudio

0:10:27

stratified random sampling

0:11:17

group and summarize data with dplyr

0:11:16

Carry out multiple operations to transform a data set

0:10:07

Use dplyr filter to remove rows with missing values

0:17:30

Basic use of dplyr verbs select, mutate, arrange, filter

0:16:22

Reading tab delimited data with read_tsv() and solving import issues

0:16:17

estimate mean and precision from a simple random sample

0:12:16

Brief introduction to sampling

0:25:33

Reading Problematic data with read.table()

0:15:52

Getting Help in R

0:26:39

Intro to R

0:28:51

Understanding harvest and control for wildlife populations

0:31:51

Fitting the exponential model to Italy's case data and making predictions.

0:14:37

Make a figure of COVID-19 data for Italy.

0:27:09

Download and manipulate COVID-19 data in R

0:05:54

Basic Queries Challenge solutions

0:05:57

Date Conversions

0:13:46

Fitting functional responses

0:11:47

Joining tables

0:06:01

SQLite Command Line interface