Summary method for the single_mean function

Summary method for the single_mean function

# S3 method for single_mean
summary(object, dec = 3, ...)

Arguments

object	Return value from single_mean
dec	Number of decimals to show
...	further arguments passed to or from other methods

Details

See https://radiant-rstats.github.io/docs/basics/single_mean.html for an example in Radiant

See also

single_mean to generate the results

plot.single_mean to plot results

Examples

result <- single_mean(diamonds, "price")
summary(result)
#> Single mean test
#> Data      : diamonds 
#> Variable  : price 
#> Confidence: 0.95 
#> Null hyp. : the mean of price = 0 
#> Alt. hyp. : the mean of price is not equal to 0 
#> 
#>       mean     n n_missing        sd     se      me
#>  3,907.186 3,000         0 3,956.915 72.243 141.651
#> 
#>      diff     se t.value p.value   df     2.5%    97.5%    
#>  3907.186 72.243  54.084  < .001 2999 3765.535 4048.837 ***
#> 
#> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
diamonds %>% single_mean("price") %>% summary()
#> Single mean test
#> Data      : . 
#> Variable  : price 
#> Confidence: 0.95 
#> Null hyp. : the mean of price = 0 
#> Alt. hyp. : the mean of price is not equal to 0 
#> 
#>       mean     n n_missing        sd     se      me
#>  3,907.186 3,000         0 3,956.915 72.243 141.651
#> 
#>      diff     se t.value p.value   df     2.5%    97.5%    
#>  3907.186 72.243  54.084  < .001 2999 3765.535 4048.837 ***
#> 
#> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1