Basic Quality Tools

This demonstrates the 7 basic quality tools

summary(cars)

Including Plots

You can also embed plots, for example:

## Installing qcc [2.7] ...
##  OK [linked cache]
## Package 'qcc' version 2.7
## Type 'citation("qcc")' for citing this R package in publications.
##            
## Pareto chart analysis for defects
##                Frequency    Cum.Freq.   Percentage Cum.Percent.
##   Defect 2   389.0000000  389.0000000   38.0626223   38.0626223
##   Defect 10  321.0000000  710.0000000   31.4090020   69.4716243
##   Defect 8   109.0000000  819.0000000   10.6653620   80.1369863
##   Defect 3    65.0000000  884.0000000    6.3600783   86.4970646
##   Defect 9    45.0000000  929.0000000    4.4031311   90.9001957
##   Defect 6    30.0000000  959.0000000    2.9354207   93.8356164
##   Defect 1    27.0000000  986.0000000    2.6418787   96.4774951
##   Defect 5    15.0000000 1001.0000000    1.4677104   97.9452055
##   Defect 7    12.0000000 1013.0000000    1.1741683   99.1193738
##   Defect 4     9.0000000 1022.0000000    0.8806262  100.0000000
## Installing SixSigma [0.10.3] ...
##  OK [linked cache]

## 
## Call:
## qcc(data = df$defects, type = "c", sizes = df$sample_size, data.name = "defects")
## 
## c chart for defects 
## 
## Summary of group statistics:
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##    1.00    2.00    2.50    2.46    3.00    4.00 
## 
## Group sample size:  20
## Number of groups:  50
## Center of group statistics:  2.46
## Standard deviation:  1.568439 
## 
## Control limits:
##  LCL      UCL
##    0 7.165316
## * There are no packages to install.

Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot.