Data, Functions and Support Materials from the Book "industRial Data Science"

[Up] [Top]

Documentation for package ‘industRial’ version 0.1.0

Help Pages

industRial-package industRial: companion package to the book "industRial data science"
battery_charging Charging time of a lithium-ion battery.
chart_Cpk Create a capability chart for statistical process control
chart_I Create IMR chart for statistical process control
chart_IMR Create R MR chart for statistical process control
dial_control Collection of visual defects on watch dial production.
ebike_hardening Cycles to failure of ebikes frames after temperature treatment.
ebike_hardening2 Cycles to failure of ebikes frames after temperature treatment.
expand_formula Formula expansion
industRial industRial: companion package to the book "industRial data science"
juice_drymatter Dry matter content of different juices obtained with two different measurement devices.
off_spec Calculate percentage of out of specification for Statistical Process Control
perfume_experiment Correlation matrix of the input variables of an experiment design in perfume formulation.
pet_delivery Tensile strength values on PET raw material for the clothing industry.
pet_doe A factorial design for the improvement of PET film tensile strength.
process_Cpk Calculate process capability index for Statistical Process Control
process_stats Calculate summary statistics for Statistical Process Control
process_stats_table Summary statistics table outputs for Statistical Process Control
solarcell_fill Yearly outputs and fills factor of solarcells of different types.
solarcell_output Yearly outputs of solarcells of different types.
ss.rr.plots Gage R & R plots
syringe_diameter Production measurements of the inner diameter of syringes barrels.
tablet_thickness Thickness measurements of pharmaceutical tablets
tablet_weight Weight measurements of pharmaceutical tablets
theme_industRial Custom theme "industRial" for the book industRial Data Science plots
theme_qcc Custom theme "qcc" for the book industRial Data Science plots