R - Notes
The following are basically my notes while studying R and is meant as a reference point for myself Just a few pointers to anyone preparing for R or studying R: Take a quick look at your statistical math basics before proceeding Before applying any formula on your base data, try to understand what the formula is and how it was derived (this will make it easier for one to understand) Use it in tangent with the Data Analysis in Excel Refer to the cheat sheets available on https://www.rstudio.com/resources/cheatsheets/ Segregate the workbench for each module There are best practices that can be incorporated while programming in R Try and jot notes when and where one can... Refer to existing data-sets embedded in R before jumping into a data.gov file Refer to R programs written already in Azure ML rnorm() by default has mean 0 and variance 1 head() has its own built in precision *default settings in R can be modified by the options() function example: ...