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Download used dataset in the tutorial: Erbil_Rain_Annual.csv LULC_Change.csv Climatic_Variables_and_Lag7R0_Australia.csv Animated timeline Load libraries library(ggplot2) library(gganimate) library(tidyr) library(tidyverse) library(RColorBrewer)...
Load trees data from datasets library library(datasets) tr<-trees head(tr) Histogram hist(tr$Volume, col = 'darkred',main="Your title", xlab="Volume") Barplot barplot(tr$Height, names.arg=c(1:31), col='darkgreen') Boxplot boxplot(tr$Height, col = ...
Install and load package (DataExplorer): #install.packages("DataExplorer") # Load library library(DataExplorer) # load DataExplorer library(datasets) library(ggplot2) Download used data LAI_factors.csv and Countries_LAI_and_LST.csv Read in dataset...
Multiple linear regression (mlr) example: fit <- lm(y ~ x1 + x2 + x3, data=mydata) Download data used in this tutorial. Load data: df<- read.csv("D:\\R4Researchers\\LAI_factors.csv") View(df) head(df) Rename some long names of columns: library(tidy...
The t-test uses to examine the difference of means of two groups of data. Default in t-test assumes unequal variance and applies the Welsh df modification Create data: group_a<- c(86, 97, 99, 100, 101, 103, 106, 110, 112, 113) group_b<- c(50, 100, 98...
Create some data group <- rep(c('A1','A2', 'A3'), times=4) value <- runif(12, 10, 20) df1 <- data.frame(group, value) df1 group <- rep(c('A1','A2', 'A3'), times=4) value <- runif(12, 10, 20) year <- as.factor(c(rep("2010",6), rep("2020",6))) df2 <- ...
