R_basicstats_Quan

# arithmetic mean
> mean(column)
> mean(column, trim=0.10) #trimming off the top and bottom 10% of values
> sum(column)/lenght(column) #alternative

# median
> median(column)

#var
> var(column)

#standard deviation
> sd(column)
> sqrt(var(column))

#minimum
> min()
> max()
> range()
> quantile(column, probs=0.90)
> quantile(column, probls=c(0.20, 0.50, 0.90)

#sum
> sum()

#Correlation (by default = pearsson correlation)
> cor(col1, col2)
> cor(col1, col2, method="spearman") #replacing standard pearsson by spearman correlation

#Summary of most of these values, works also for categoric data
> summary(col) # min, 1st Quantile, median, mean, 3rd Quantile, Max
> summary(dataset) #summary of each column

>colMeans(x) #means of columns