![]() If not provided is taken from the object given as newdata.Ī character vector of labels for each new group defined in the argument newdata.Ī numeric value specifying the number of sigmas to use for computing control limits. If not provided is taken from the object given as data.Ī character vector of labels for each group.Ī data frame, matrix or vector, as for the data argument, providing further data to plot but not included in the computations.Ī vector as for the sizes argument providing further data sizes to plot but not included in the computations.Ī string specifying the name of the variable which appears on the plots. Several methods are available for estimating the standard deviation in case of a continuous process variable see sd.xbar, sd.xbar.one, sd.R, sd.S.Ī two-values vector specifying control limits.Ī string specifying the name of the variable which appears on the plots. For "p", "np" and "u" charts the argument sizes is required.Ī value specifying the center of group statistics or the ”target” value of the process.Ī value or an available method specifying the within-group standard deviation(s) of the process. For continuous data provided as data frame or matrix the sample sizes are obtained counting the non- NA elements of each row. As an example, see stats.xbar.Ī value or a vector of values specifying the sample sizes associated with each group. This requires the definition of "stats.newchart", "sd.newchart", and "limits.newchart". One-at-time data of a continuous process variableįurthermore, a user specified type of chart, say "newchart", can be provided. Standard deviations of a continuous variable Value of a vector, refers to a sample or ”rationale group”.Ī character string specifying the group statistics to compute. Each row of a data frame or a matrix, and each )Ī data frame, a matrix or a vector containing observed data for ) # S3 method for class 'qcc' plot ( x, add.stats = TRUE, chart.all = TRUE, label.limits = c ( "LCL ", "UCL" ), title, xlab, ylab, ylim, axes.las = 0, digits = getOption ( "digits" ), restore.par = TRUE. ) # S3 method for class 'qcc' summary ( object, digits = getOption ( "digits" ). Qcc ( data, type, sizes, center, std.dev, limits, data.name, labels, newdata, newsizes, newdata.name, newlabels, nsigmas = 3, confidence.level, rules = les, plot = TRUE. : Statistics used in computing and drawing a Shewhart xbar.stats.xbar: Statistics used in computing and drawing a Shewhart xbar.stats.u: Statistics used in computing and drawing a Shewhart u chart.stats.T2.single: Statistics used in computing and drawing the Hotelling T^2.stats.T2: Statistics used in computing and drawing the Hotelling T^2.stats.S: Functions to plot Shewhart S chart.stats.R: Statistics used in computing and drawing a Shewhart R chart.stats.p: Statistics used in computing and drawing a Shewhart p chart.stats.np: Statistics used in computing and drawing a Shewhart np chart. ![]() stats.g: Statistics used in computing and drawing a Shewhart g chart.stats.c: Functions to plot Shewhart c chart.les: Functions specifying rules for Shewhart charts.: Overdispersion test for binomial and poisson data. ![]() qcc.options: Set or return options for the 'qcc' package.qcc.groups: Grouping data based on a sample indicator.process.capability: Process capability analysis.pcmanufact: Personal computer manufacturer data.orangejuice2: Orange juice data - Part 2. ![]()
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