R Package to implement methods from the NIST/SEMATECH e-Handbook of Statistical Methods.
Given that the user of the package has data, the package will implement the use of following methods:
EDA techniques for testing underlying assumptions
- run sequence plot
- lag plot
- histogram
- normal probability plot.https://www.itl.nist.gov/div898/handbook/eda/section2/eda23.htm
a graphical technique for identifying the shape parameter for a distributional family that best describes the data set.
- generate a PPCC plot https://www.itl.nist.gov/div898/handbook/eda/section3/ppccplot.htm
The Tietjen-Moore test is used to detect multiple outliers in a univariate data set that follows an approximately normal distribution.
- a normal probability plot should be generated along with a htest object.https://www.itl.nist.gov/div898/handbook/eda/section3/eda35h2.htm
Collection of 6 specific graphical techniques whose purpose is to assess the validity of a Y versus X fit
- Scatter plot of the response and predicted values versus the independent variable
- Scatter plot of the residuals versus the independent variable
- Scatter plot of the residuals versus the predicted values
- Lag plot of the residuals
- Histogram of the residuals
- Normal probability plot of the residuals.https://www.itl.nist.gov/div898/handbook/eda/section3/6plot.htm
Project manager: Laura Horsfall Folmer
Documentation manager: Laura Horsfall Folmer
Quality manager: Tony Lung Ca Hin