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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)
Basic statistical inference (mqr.inference)
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)
Design of Experiments (mqr.doe)
- Design
- 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)
Data transforms (mqr.transforms)
- zscore
Notebook tools (mqr.nbtools)

API Reference
Statistical Process Control (mqr.spc)
RParams
lcl

mqr.spc.RParams.

lcl#

RParams.lcl(nobs)#: Calculates the lower control limits for samples with sizes in nobs.

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RParams.lcl

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