반응형 분류 전체보기123 Sufficient Statistics Sufficiency : T(X1, X2,..., Xn) is said to have 'sufficiency' for the parameter, if the conditional of X1, X2,...Xn given T=t does not rely on the value of the parameter. And the T(X1,X2,X3,...,Xn) is called 'Sufficient Statistics.' That is, by gaining T we need no longer to find knowledge about the parameter from random samples. Figuring out whether the conditional of X1, X2,...Xn given T=t doe.. 2020. 9. 10. (R) geom_violin() - a density graph geom_violin is an efficient density graph. The violin graph is created by mirroring the kernel density curve symmetrically. It is usefully used for comparing several density graphs without overlapping. geom_violin() geom_density() > ggplot(data=birthwt,aes(x=smoke,y=bwt))+geom_violin() > ggplot(data=birthwt,aes(x=bwt))+geom_density()+facet_grid(vars(smoke))>ggplot(data=birthwt,aes(x=bwt,colour=s.. 2020. 9. 9. stat_summary > msleep2%filter(!is.na(vore))> ggplot(data=msleep2,aes(x=vore,y=sleep_total))+geom_boxplot() 2020. 9. 9. (R) The way to interpret boxplot in R > var1= rnorm(60,5,3)> var1 [1] 5.72545365 6.46736004 9.05905214 3.81404717 [5] 4.14243244 6.22773545 4.22229999 -0.09668701 [9] 1.92385930 2.68091447 2.02079779 11.82006166[13] 6.30123986 6.82444436 5.16561901 5.65673597[17] 6.80099706 8.14009518 5.84585539 4.54134577[21] 7.05242009 1.82990254 6.48332813 11.63180405[25] 0.27728859 5.68270070 4.78730331 0.59477055[29] 7.00621227 8.11715012 3.197.. 2020. 9. 7. 이전 1 ··· 13 14 15 16 17 18 19 ··· 31 다음 반응형
