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By this process the variance and central measures ar found: average, medium and mode of grouped data.
stat.freq(histogram)
Object create by function hist()
Object
polygon.freq, table.freq, graph.freq, intervals.freq, sturges.freq, join.freq, ogive.freq, normal.freq
polygon.freq
table.freq
graph.freq
intervals.freq
sturges.freq
join.freq
ogive.freq
normal.freq
# NOT RUN { library(agricolae) data(growth) grouped<-with(growth,hist(height,plot=FALSE)) measures<-stat.freq(grouped) print(measures) # }
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