Metodo 1: utilizzare Base R<\/span><\/strong><\/span><\/p>\n Metodo 2: usa ggplot2<\/strong><\/span><\/p>\n I seguenti esempi mostrano come utilizzare ciascun metodo nella pratica con il seguente frame di dati in R:<\/span><\/p>\n Il codice seguente mostra come creare boxplot con valori medi in base R:<\/span><\/span> <\/p>\n Le linee nere all’interno di ciascun boxplot rappresentano il valore mediano<\/strong> e i cerchi neri all’interno di ciascun boxplot rappresentano il valore medio<\/strong> .<\/span><\/p>\n Nota<\/strong> : modificare il valore dell’argomento cex<\/strong> per modificare la dimensione del cerchio.<\/span><\/p>\n Il codice seguente mostra come creare boxplot con valori medi in ggplot2:<\/span> <\/p>\n Le linee nere all’interno di ciascun boxplot rappresentano il valore mediano<\/strong> e i cerchi neri all’interno di ciascun boxplot rappresentano il valore medio<\/strong> .<\/span><\/p>\n Nota<\/strong> : modificare il valore dell’argomento dimensione<\/b> nella funzione stat_summary()<\/strong> per modificare la dimensione del cerchio.<\/span><\/p>\n Le seguenti esercitazioni offrono informazioni aggiuntive sui boxplot:<\/span><\/p>\n Quando dovresti utilizzare un box plot? (3 scenari)<\/a> \u00c8 possibile utilizzare i seguenti metodi per disegnare un box plot con un valore medio in R: Metodo 1: utilizzare Base R #create boxplots boxplot(df$values~df$group) #calculate mean value by group means <- tapply(df$values, df$group, mean) #add means as circles to each boxplot points(means, pch= 20 ) Metodo 2: usa ggplot2 library (ggplot2) #create boxplots with […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"yoast_head":"\n #create boxplots\n<\/span>boxplot(df$values~df$group)\n\n#calculate mean value by group\n<\/span>means <- tapply(df$values, df$group, mean)\n\n#add means as circles to each boxplot\n<\/span>points(means, pch= 20<\/span> )<\/strong><\/pre>\n library<\/span> (ggplot2)\n\n#create boxplots with mean values shown as circles\n<\/span>ggplot(df, aes(x=group, y=values, fill=group)) +\n geom_boxplot() +\n stat_summary(fun=mean, geom=' point<\/span> ', shape= 20<\/span> )\n<\/strong><\/span><\/pre>\n #create data frame\ndf <- data. frame<\/span> (team=rep(c('A', 'B', 'C'), each= 5<\/span> ),\n points=c(4, 4, 5, 6, 8, 7, 6, 8, 9, 12,\n 11, 12, 13, 16, 18))<\/span>\n\n#view first six rows of data frame\nhead(df)\n\n team points\n1 to 4\n2 to 4\n3 to 5\n4 to 6\n5 to 8\n6 B 7\n<\/span><\/span><\/strong><\/pre>\n Esempio 1: creare boxplot con valori medi in base R<\/span><\/strong><\/h3>\n
#create boxplots\n<\/span>boxplot(df$points~df$team)\n\n#calculate mean value by group\n<\/span>means <- tapply(df$points, df$team, mean)\n\n#add means as circles to each boxplot\n<\/span>points(means, pch= 20<\/span> , cex= 1.5<\/span> )<\/strong> <\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/boxplot_mean1.jpg\")
<\/p>\n Esempio 2: crea boxplot con valori medi in ggplot2<\/span><\/strong><\/h3>\n
library<\/span> (ggplot2)\n\n#create boxplots with mean values\n<\/span>ggplot(df, aes(x=team, y=points, fill=team)) +\n geom_boxplot() +\n stat_summary(fun=mean, geom=' point<\/span> ', shape= 20<\/span> , size= 8<\/span> ) +\n theme(legend. position<\/span> = ' none<\/span> ')<\/strong> <\/pre>\n![\"boxplot](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/boxplot_mean2.jpg\")
<\/p>\n Risorse addizionali<\/strong><\/span><\/h3>\n
Come identificare l’asimmetria nei box plot<\/a>
Come confrontare i box plot<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"