Descriptive Statistics With R Studio

Hallo Guys, How are you today ? 

On this Occasion, we will learn how to analisys Statistics Descriptive with R Studio. Descriptive statistics is the term given to the analysis of data that helps describe, show or summarize data in a meaningful way such that, for example, patterns might emerge from the data. 

Oke now lets try in your R Studio  : 

• First, open your R Studio >> File >> New File >> R Script.
• Download the following of data set (Download : Data train) 
• you can enter the data set to R script below :

#using read.delim function

##you have to copy the data first in your file have been downloaded, 

##then write the following script

data=read.delim("clipboard")

data

• If you want to summarize the data set, write the following script :

#mean,median,25th and 75th quartiles,min,max

summary(data)

There are also numerous R functions designed to provide a range of descriptive statistics at once. For example :

• Using Library(pastecs)

library(pastecs)
stat.desc(data) 
# nbr.val, nbr.null, nbr.na, min max, range, sum, 
# median, mean, SE.mean, CI.mean, var, std.dev, coef.var

• Using Library(psych)

library(psych)
describe(data)
# item name ,item number, nvalid, mean, sd, 
# median, mad, min, max, skew, kurtosis, se

If you are not satisfied, see also : (https://www.statmethods.net/stats/descriptives.html )

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