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This is a Course Project submission for Data Science Coursera.

Prerequisites

Install reshape2 and download / extract data to working directory (or use data in this repo).

Steps

  • step 1: data loading, we change "labels" to "activity", and cbind them to test / train frames. Then we rbind test and train.
  • step 2: we filter columns, containing "std" or "mean", also keeping "activity" and "subject_id" columns
  • step 3: we read activities
  • step 4: we use factor() to replace "activities" with string values
  • step 5: we melt and aggregate data, saving it to "out.csv"