Kim 2 ML

Applied AI notes for data scientists, analysts, and builders

Day 2 (1)

UI in R Studio

  1. .R File – R script saved location
  2. Console – code being executed
  3. Environment – variable saved in memory
  4. File/Plot/Package/Help – Different functionality like viewing file in explorer, help documentation of script, Cran list of library.

Code

Code reusability, introduce “package”, which is a public directory from CRAN.

library(MBA)

also similar to

import java.io;

Operation
+,-,*,/,%% → Basic Maths operators
first *, / later +, – → Operator Precedence
=, ->, <-, assign → variable declarations
rm(<<variable name>>), remove(<<variable name>>) → remove a variable
class → to tell datatypes(numeric,integer,character,logical,date)
is.<<datatype>>(<<variable name>>) → checking/testing/validation the data type
as.<<datatype>>(<<variable name>>) → convert the data type
: → range x:y, sequence number for x to y
seq(from,to,by) → range from:to, sequence number for x to y, but can interval “by”
c(5,10,1) → array aka vector, index start from 1 (not 0), c also known as “combine”
names(<<variable name>>)=c(“one”,”two”,”three”) → gave index name to array
runif(n, min, max) → generate n random number
sample(min:max, n, TRUE/FALSE) → generate n random number, True/False for repeating number appearing

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