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Course I teach for graduate student and Ph.D. R For Hydrology and Water Resources tools available for Hydrology TauDEM QGIS Grass GIS R (Geo-spatial analysis) Land use/ Land cover classification SWAT basic hydrologic concept and methods guidelines for the stream network analysis Computational Hydrology Hydrology is the study of water across the earth system. I will tell you some interesting phenomenon of hydrology in this blog post(s). The main goal of writing post is to summarize the knowledge of Water resource and Hydrology....

The following packages are required for the random forest if(!require(tidyverse)){install.packages("tidyverse");library(tidyverse)} if(!require(janitor)){install.packages("janitor");library(janitor)} # for rename if(!require(randomForest)){install.packages("randomForest");library(randomForest)} if(!require(caret)){install.packages("caret");library(caret)} # for `confustionMatrix` A Random forest is made of Random Trees Data <- read_csv(file = here::here("content/post/2022-06-26-random-forest", "german_credit.csv")) Exploring the dataset Data <- clean_names(Data) Data$creditability <- as.factor(Data$creditability) glimpse(Data) ## Rows: 1,000 ## Columns: 21 ## $ creditability <fct> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, … ## $ account_balance <dbl> 1, 1, 2, 1, 1, 1, 1, 1, 4, 2, 1, 1, … ## $ duration_of_credit_month <dbl> 18, 9, 12, 12, 12, 10, 8, 6, 18, 24,… ## $ payment_status_of_previous_credit <dbl> 4, 4, 2, 4, 4, 4, 4, 4, 4, 2, 4, 4, … ## $ purpose <dbl> 2, 0, 9, 0, 0, 0, 0, 0, 3, 3, 0, 1, … ## $ credit_amount <dbl> 1049, 2799, 841, 2122, 2171, 2241, 3… ## $ value_savings_stocks <dbl> 1, 1, 2, 1, 1, 1, 1, 1, 1, 3, 1, 2, … ## $ length_of_current_employment <dbl> 2, 3, 4, 3, 3, 2, 4, 2, 1, 1, 3, 4, … ## $ instalment_per_cent <dbl> 4, 2, 2, 3, 4, 1, 1, 2, 4, 1, 2, 1, … ## $ sex_marital_status <dbl> 2, 3, 2, 3, 3, 3, 3, 3, 2, 2, 3, 4, … ## $ guarantors <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, … ## $ duration_in_current_address <dbl> 4, 2, 4, 2, 4, 3, 4, 4, 4, 4, 2, 4, … ## $ most_valuable_available_asset <dbl> 2, 1, 1, 1, 2, 1, 1, 1, 3, 4, 1, 3, … ## $ age_years <dbl> 21, 36, 23, 39, 38, 48, 39, 40, 65, … ## $ concurrent_credits <dbl> 3, 3, 3, 3, 1, 3, 3, 3, 3, 3, 3, 3, … ## $ type_of_apartment <dbl> 1, 1, 1, 1, 2, 1, 2, 2, 2, 1, 1, 1, … ## $ no_of_credits_at_this_bank <dbl> 1, 2, 1, 2, 2, 2, 2, 1, 2, 1, 2, 2, … ## $ occupation <dbl> 3, 3, 2, 2, 2, 2, 2, 2, 1, 1, 3, 3, … ## $ no_of_dependents <dbl> 1, 2, 1, 2, 1, 2, 1, 2, 1, 1, 2, 1, … ## $ telephone <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, … ## $ foreign_worker <dbl> 1, 1, 1, 2, 2, 2, 2, 2, 1, 1, 1, 1, … Assess the creditabiliy with the help of other variables # code ------------------------------------------------------------------------- ggplot(data = Data, aes(x = age_years, color = creditability, fill = creditability)) + geom_histogram(binwidth = 5, position = "identity", alpha = 0....

How to make a better boxplot with custom fonts, let’s explore this in this post, it can be used for the standard template for boxplot with facet and user defined fonts. Required R libraries: if(!require(tidyverse)){install.packages("tidyverse");library(tidyverse)} # for ggplot2 function if(!require(gapminder)){install.packages("gapminder");library(gapminder)} # for sample data if(!require(showtext)){install.packages("showtext");library(showtext)} # to import fonts Add fonts in R session font_add_google("Karla", "Karla") # adding local font font_add(family = "Helvetica", regular = "C:/Windows/Fonts/Helvetica 400.ttf") # Adding from Google fonts font_add_google("Roboto Slab", "Roboto Slab") # adding font from the web/google font font_families() ## [1] "sans" "serif" "mono" "wqy-microhei" "Karla" ## [6] "Helvetica" "Roboto Slab" Define theme for Boxplot and fonts themeBox <- function(base_family = "sans", exFont, ....

R Markdown This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com. A few useful syntax are shown below in the post: 1. You can embed an R code chunk like this: summary(cars) ## speed dist ## Min. : 4.0 Min. : 2.00 ## 1st Qu.:12.0 1st Qu.: 26.00 ## Median :15....

R is a very versatile statistical tool and programming language. It’s my all-time good-to-go data analysis tool. It is fast, reliable and nifty. It provides great flexibility for my daily work and analysis tasks. If one uses R, they could consider RStudio as a more sophisticated GUI than the Base R once. 1. Installing R Step 01: Install R-Binaries from R-Project Step 02: Install RStudio IDE from RStudio 2. Customizing RStudio A lot of ways you can make RStudio more useful for your personal use....