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Questions tagged [msqc]

Use this tag when asking topics related to the R package MSQC for multivariate control charts in R

msqc is an actively maintained open-source multivariate process monitoring package for R. It includes several functions for multivariate control charts computing, written by Edgar Santos-Fernandez. Complete information can be found here and here.

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Hotelling Multivariate Control Charts

At my work we do a lot of control charts for n variables for monitoring multivariate measurement processes. I am trying to implement Hotelling multivariate control charts so we can consider the correlation between variables and assess when a sample…
Cris
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How to get the decomposition of T^2 hotelling in mult.chart as a matrix in output?

I run mult.chart package for T^2 hotelling . I want to get just "the first point" that is out of control and "it's decomposition" as a matrix.But running these codes get all out of control points and all decomposition in the type of "list". and i…
SA12
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Trouble adding a baseline to the mult.chart function in MSQC package (R) - any suggestions?

I need help with the mult.chart function from package MSQC in R. I searched and tried to add a baseline to the chart, but I was not able to do it. Here is what I am trying to do: library(MSQC) variable1 <- 1:100 variable2 <- 1:100 data_MULTI <-…
MMH
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Lapack routine dgesv: system is exactly singular in mult.chart from msqc library

I am trying to use MSQC library for multivariate process control, but I am running in to this error. I have 8 columns which are correlate for the most part. the mult.chart function runs fine for phase 1 but gives me error for phase 2. Any solution…
ok1more
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mult.chart returns error "system is exactly singular: 0\n"

I am trying to run Multivariate Statistical Process Control using MSQC package. My data has corelated variables (temperature readings), which remain corelated most of the time when the process is in control but may not remain that when when…
ok1more
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How to just print the chart from `mult.chart` in MSQC package for statistical process control

I am using mult.chart for SPC in an Rmarkdown file for a proof of concept. I just want to print the chart and leave out all the decompositions, xmv, covariance and t2. when I use t <- mult.chart(na.omit(test.data), type = "t2", Xmv = Xmv, S = S,…
ok1more
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