Syllabus

Book

Book

DataCamp Class

LINK

Practice - Assessment Test

1. Open Your R-Studio :)
2. Create a new “R Project”
3. Create a new “R Script” file and save it
4. Learn your Working Directory
5. Check files, under your working directory
6. Create a vector with four numeric elements using seq()
7. Assign it to a new variable (vec1)
8. Check the length of vector
9. Calculate the mean of vector
10. Coerce your numeric vector to characteristic vector
11. Check the class of your new vetcor
12. Print the second element of your vector
13. Change the second element as “TRUE”, assign it as vec1

Practice - Assessment Test

14. Create a new vector with 12 elements using runif()
15. Assign it as vec2
16. Create a new matrix, 3 rows, 4 columns using this vector
17. Assign this matrix as a new variable
18. Check dimensions of this matrix
19. Create a new matrix (4x4) with using vec1 and vec2
20. Explain what is happening (bycol or byrow)
21. Create the same matrix again, this time with byrow=T
22. Assign it as mat1
23. Create a new array with 4 rows, 4 columns and 2 layers using mat1
24. Assign it as arr1
25. Select 2nd row, 3rd column and change it with NA for each layers

Practice - Assessment Test

26. Go to main web page of our course
27. Copy this data : Istanbul_Cekmekoy_Omerli_26072017-29072017_15min - txt
28. Paste your “Download” folder
29. Turn back to R Studio
30. Read the station data, be careful about file path, header and seperator
31. Assign it as sta_data
32. Check the structure and attributes of sta_data
33. Print and plot precipiptation of sta_data
34. Write a condition; if total precipitation is higher than zero than print “Weather was rainy”
35. Install & load “ncdf4”, “RNetCDF” and “ggplot2” packages

NETCDF

NETCDF - Data and Packages

LINK

R Elemantary Statistics

R Elemantary Statistics

LINK

Basic Data Visualization

LINK