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MQR

  • Getting Started
  • User Guide
  • API Reference
  • Notes
  • GitHub
  • Getting Started
  • User Guide
  • API Reference
  • Notes
  • GitHub

Section Navigation

  • Process summary and capability (mqr.process)
    • Sample
    • Specification
    • Capability
    • Summary
  • Basic statistical inference (mqr.inference)
    • dist
      • test_1sample
    • correlation
      • confint
      • test
      • test_diff
    • mean
      • confint_1sample
      • confint_2sample
      • confint_paired
      • size_1sample
      • size_2sample
      • size_paired
      • test_1sample
      • test_2sample
      • test_paired
    • proportion
      • confint_1sample
      • confint_2sample
      • power_1sample
      • power_2sample
      • size_1sample
      • size_2sample
      • test_1sample
      • test_2sample
    • rate
      • confint_1sample
      • confint_2sample
      • power_1sample
      • power_2sample
      • size_1sample
      • size_2sample
      • test_1sample
      • test_2sample
    • stddev
      • confint_1sample
      • confint_2sample
      • size_1sample
      • size_2sample
      • test_1sample
      • test_2sample
    • variance
      • confint_1sample
      • confint_2sample
      • power_1sample
      • power_2sample
      • size_1sample
      • size_2sample
      • test_1sample
      • test_2sample
    • ConfidenceInterval
    • HypothesisTest
    • TestPower
  • Basic statistical inference (mqr.inference.nonparametric)
    • correlation
      • test
    • dist
      • test_1sample
      • test_2sample
    • median
      • test_1sample
      • test_nsample
    • quantile
      • confint_1sample
      • test_1sample
    • variance
      • test_nsample
  • Analysis of Variance (mqr.anova)
    • adequacy
    • summary
    • coeffs
    • groups
    • interactions
  • Measurement system analysis (mqr.msa)
    • GRR
    • NameMapping
    • VarianceTable
  • Design of Experiments (mqr.doe)
    • Design
      • as_block
      • from_axial
      • from_ccdesign
      • from_centrepoints
      • from_fracfact
      • from_fullfact
      • from_levels
      • get_factor_df
      • randomise_runs
      • replicate
      • to_df
      • transform
    • Transform
      • from_map
    • Affine
      • __call__
      • from_map
  • Statistical Process Control (mqr.spc)
    • ControlParams
      • asdict
      • lcl
      • statistic
      • target
      • ucl
    • ShewhartParams
      • asdict
      • lcl
      • se
      • statistic
      • target
      • ucl
    • ControlStatistic
    • XBarParams
      • asdict
      • from_data
      • from_range
      • from_stddev
      • lcl
      • se
      • statistic
      • target
      • ucl
    • RParams
      • asdict
      • from_data
      • from_range
      • lcl
      • se
      • statistic
      • target
      • ucl
    • SParams
      • asdict
      • from_data
      • lcl
      • se
      • statistic
      • target
      • ucl
    • EwmaParams
      • asdict
      • from_data
      • from_stddev
      • lcl
      • statistic
      • target
      • ucl
    • MewmaParams
      • asdict
      • from_data
      • lcl
      • statistic
      • target
      • ucl
  • SPC alarm rules (mqr.spc.rules)
    • limits
    • aofb_nsigma
    • n_1side
    • n_trending
    • combine
  • SPC utilities (mqr.spc.util)
    • c4
    • d2
    • d3
    • c4_fn
    • d2_integral
    • d3_integral
    • solve_arl
    • solve_h4
    • group_consecutives
    • alarm_subsets
  • Plots (mqr.plot)
    • Figure
    • ishikawa
    • confint
    • Process and capability (mqr.plot.process)
      • summary
      • pdf
      • tolerance
      • capability
    • Correlation matrix (mqr.plot.correlation)
      • matrix
    • Regression analysis (mqr.plot.regression)
      • residuals
      • influence
      • res_probplot
      • res_histogram
      • res_v_obs
      • res_v_fit
      • res_v_factor
    • Analysis of variance (mqr.plot.anova)
      • main_effects
      • interactions
      • model_means
    • Measurement system analysis (mqr.plot.msa)
      • grr
      • bar_var_pct
      • box_measurement_by_part
      • xbar_operator
      • box_measurement_by_operator
      • r_operator
      • line_part_operator_intn
    • Statistical process control (mqr.plot.spc)
      • chart
      • alarms
      • oc
    • Plotting tools (mqr.plot.tools)
      • sharex
      • sharey
  • Data transforms (mqr.transforms)
    • zscore
  • Notebook tools (mqr.nbtools)
    • grab_figure
    • hstack
    • vstack
  • API Reference
  • Design of Experiments (mqr.doe)

Design of Experiments (mqr.doe)#

User guide

Design of Experiments

Detailed examples

nklsxn/mqrpy-guide

Classes

Design(names, levels, runs, pttypes, blocks)

An experimental design.

Transform()

Affine(scale, translate)

An Affine transform for transforming the levels in a Design.

previous

VarianceTable

next

Design

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