The function performs the construction of graphs of boxes, columns or segments with all the observations represented in the graph.

plot_jitter(model)

Arguments

model

DIC, DBC or DQL object

Value

Returns with graph of boxes, columns or segments with all the observations represented in the graph.

Author

Gabriel Danilo Shimizu, shimizu@uel.br

Leandro Simoes Azeredo Goncalves

Rodrigo Yudi Palhaci Marubayashi

Examples

data("pomegranate")
a=with(pomegranate,DIC(trat,WL,geom="point"))
#> 
#> -----------------------------------------------------------------
#> Normality of errors
#> -----------------------------------------------------------------
#>                          Method Statistic   p.value
#>  Shapiro-Wilk normality test(W) 0.9448293 0.2087967
#> 
#> As the calculated p-value is greater than the 5% significance level, hypothesis H0 is not rejected. Therefore, errors can be considered normal
#> 
#> -----------------------------------------------------------------
#> Homogeneity of Variances
#> -----------------------------------------------------------------
#>                               Method Statistic   p.value
#>  Bartlett test(Bartlett's K-squared)  8.568274 0.1275737
#> 
#> As the calculated p-value is greater than the 5% significance level,hypothesis H0 is not rejected. Therefore, the variances can be considered homogeneous
#> 
#> -----------------------------------------------------------------
#> Independence from errors
#> -----------------------------------------------------------------
#>                  Method Statistic   p.value
#>  Durbin-Watson test(DW)  2.104821 0.1924474
#> 
#> As the calculated p-value is greater than the 5% significance level, hypothesis H0 is not rejected. Therefore, errors can be considered independent
#> 
#> -----------------------------------------------------------------
#> Additional Information
#> -----------------------------------------------------------------
#> 
#> CV (%) =  10.84
#> MStrat/MST =  0.92
#> Mean =  2.2596
#> Median =  2.225
#> Possible outliers =  No discrepant point
#> 
#> -----------------------------------------------------------------
#> Analysis of Variance
#> -----------------------------------------------------------------
#>           Df   Sum Sq    Mean.Sq  F value        Pr(F)
#> trat       5 3.692121 0.73842417 12.31191 2.723541e-05
#> Residuals 18 1.079575 0.05997639                      
#> 
#> 
#> As the calculated p-value, it is less than the 5% significance level.The hypothesis H0 of equality of means is rejected. Therefore, at least two treatments differ
#> 
#> 
#> -----------------------------------------------------------------
#> Multiple Comparison Test
#> -----------------------------------------------------------------
#>      resp groups
#> T5 2.6375      a
#> T4 2.6200      a
#> T3 2.6175      a
#> T6 2.1625     ab
#> T1 1.8425      b
#> T2 1.6775      b
#> 
#> 


plot_jitter(a)