Statistical Programming with R and C

Overview of C, Basic structures of c programs, sample c program, programming style, exe.a c program, data types, constants and variables, operators and expression, managing input and output operators.

Decision making and branching IF, IF ELSE, NESTED IF ELSE, IF ELSE ladder, SWITCH statement, ?: operator, GOTO statement, Decision making and looping: WHILE statement; DO statement, FOR statement, jumps in loops, Arrays: Introduction to arrays, single dimensional array and two dimensional arrays

History, data types, operators, basic structure of R, Functions for reading, writing and loading and interpretation data. Import and export of data Plot a graph: histograms, frequency polygon, pie chart, ogives, scatter diagrams.

Control Structures: IF, IF ELSE,FOR, WHILE. Calculation of measure of central tendency and dispersion, correlation and lines of Regression. Random number generation and sampling procedures. Fitting of Population Distribution.

Basics of statistical inference in order to understand hypothesis testing and compute p-values and confidence intervals solution of applications of sampling distributions and  Analysis of variance.