I've downloaded the package for quality control analysis named qcc but that package only can be used for normal distribution. I want to build a control chart based on non-normal distribution especially weibull distribution. How could I build my control chart. Is there any package for quality control based on non-normal distribution?
Could you please be more specific? What do you mean by "How could I build my control chart."? What type of control chart? For averages? For a range? for a variance? for a standard deviation? for a percentile? for the shape parameter of the Weibull distribution? For its scale parameter? ... Each one of these charts requires a lot of statistical work and design.
@Gahangir Hossain
i don't know any exploratory analysis for build control chart. could you help me to find it? thank you
@Noel Artiles-Leon
i want to build control chart based on journal named "FIX" below.
i've try to build the control chart with R but in R software i just build the control chart based on normal distribution.
Maybe this will be useful for someone with a similar problem. An adaptive generalized likelihood ratio (aGLR) control chart worked efficiently for autocorrelated data and with a wide variety of distributions - from normal distributions "to a completely distribution-free setting." An "aglr" package (works under R version 2.15.21, which is still available at download sites) is attached as supplementary material to paper: "Capizzi, G. and Masarotto, G. (2012), Adaptive Generalized Control Charts for Detecting Unknown Patterned Mean Shifts, Journal of Quality Technology."
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