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Concise summary including chart type, sample size, sigma estimate and any rule violations. For full per-row results, use augment(); for a tabular limit summary, use tidy().

Usage

# S3 method for class 'shewhart_chart'
print(x, ...)

Arguments

x

A shewhart_chart object.

...

Currently unused.

Value

Returns x invisibly (for chaining).

Examples

set.seed(1)
fit <- shewhart_i_mr(data.frame(y = rnorm(50)), value = y)
print(fit)
#> 
#> ── Shewhart chart I-MR (individuals & moving range) ────────────────────────────
#>  Observations / subgroups: 50
#>  Phase: "phase_1"
#>  Sigma estimate ("mr"): 0.8085
#> 
#> ── Control limits ──
#> 
#> # A tibble: 6 × 3
#>   chart line   value
#>   <chr> <chr>  <dbl>
#> 1 I     CL     0.100
#> 2 I     UCL    2.53 
#> 3 I     LCL   -2.32 
#> 4 MR    CL     0.912
#> 5 MR    UCL    2.98 
#> 6 MR    LCL    0    
#> ── Rule violations ──
#> 
#>  No violations across 2 rules: "nelson_1_beyond_3s" and "nelson_2_nine_same".