This slide is for teaching the ANALYSIS stage of industrial design, including what user study is and why we need user study. The lecture was given in NTU & NTUST, Taiwan by Hsien-Hui Tang in 2010 Apr.
R Tutorial provides instructions for basic data management and analysis in R. It covers:
1) Importing and saving data using commands like read.csv and write.table;
2) Controlling and selecting variables using commands like data$V1 and data[c(1:10)];
3) Recoding variables using logical conditions, such as recoding gender from text to numeric; and
4) Common statistical analyses like single and cross tabulation, plots, t-tests, correlation, and regression.
This slide is for teaching the ANALYSIS stage of industrial design, including what user study is and why we need user study. The lecture was given in NTU & NTUST, Taiwan by Hsien-Hui Tang in 2010 Apr.
R Tutorial provides instructions for basic data management and analysis in R. It covers:
1) Importing and saving data using commands like read.csv and write.table;
2) Controlling and selecting variables using commands like data$V1 and data[c(1:10)];
3) Recoding variables using logical conditions, such as recoding gender from text to numeric; and
4) Common statistical analyses like single and cross tabulation, plots, t-tests, correlation, and regression.