Descriptive statistics using R and its packages: automating computaion of mean,sd, variance etc
13.2 هزار بار بازدید -
3 سال پیش
-
#rprogramming #
#rprogramming # descriptivestatistics #summarystatistics #dataanalysis
This video demonstrates methods to get descriptive statistics or summary statistics like mean, mode and median. Statistics for the spread of the data like standard deviation, standard error, range, interquartile range, and quantiles are also demonstrated. How to get the summary statistics in just a single line of code using functions from different packages has also been explained. using R a d its packages.
Functions from base R as well as from packages like pastes, misc. and psych has been explained.
#rprogramming #summarystatistics #descriptivestatistics #datanalysis #Rstatistics
the code for learning
head(iris)
str(iris)
mean(iris$Sepal.Length)
mean(iris$Petal.Length)
mean(iris$Sepal.Width)
mean(iris$Petal.Width)
sapply(iris[,-5],mean,na.rm=TRUE)
sapply(iris[,-5],median,na.rm=TRUE)
sapply(iris[,-5],sd,na.rm=TRUE)
sapply(iris[,-5],range,na.rm=TRUE)
sapply(iris[,-5],min,na.rm=TRUE)
sapply(iris[,-5],max,na.rm=TRUE)
library(plotrix)
sapply(iris[,-5],std.error,na.rm=TRUE)
summary(iris)
library(Hmisc)
describe(iris)
library(pastecs)
stat.desc(iris)
library(psych)
psych::describe(iris)
describeBy(iris~Species)
0:00 Introduction
0:42 Data : iris
1:26 Manual using fucntions on each variable
2:14 sapply: automisation
4:55 library plotris for Std. error
5:50 Function for summary statistics
6:10 library(Hmisc) describe()
8:10 library(pastecs) for stat.desc()
9:20 library(psych) describe(iris)
10:50 psych::describeBy(diamonds~color+clarity)
11.55 Subscribe to my channel
This video demonstrates methods to get descriptive statistics or summary statistics like mean, mode and median. Statistics for the spread of the data like standard deviation, standard error, range, interquartile range, and quantiles are also demonstrated. How to get the summary statistics in just a single line of code using functions from different packages has also been explained. using R a d its packages.
Functions from base R as well as from packages like pastes, misc. and psych has been explained.
#rprogramming #summarystatistics #descriptivestatistics #datanalysis #Rstatistics
the code for learning
head(iris)
str(iris)
mean(iris$Sepal.Length)
mean(iris$Petal.Length)
mean(iris$Sepal.Width)
mean(iris$Petal.Width)
sapply(iris[,-5],mean,na.rm=TRUE)
sapply(iris[,-5],median,na.rm=TRUE)
sapply(iris[,-5],sd,na.rm=TRUE)
sapply(iris[,-5],range,na.rm=TRUE)
sapply(iris[,-5],min,na.rm=TRUE)
sapply(iris[,-5],max,na.rm=TRUE)
library(plotrix)
sapply(iris[,-5],std.error,na.rm=TRUE)
summary(iris)
library(Hmisc)
describe(iris)
library(pastecs)
stat.desc(iris)
library(psych)
psych::describe(iris)
describeBy(iris~Species)
0:00 Introduction
0:42 Data : iris
1:26 Manual using fucntions on each variable
2:14 sapply: automisation
4:55 library plotris for Std. error
5:50 Function for summary statistics
6:10 library(Hmisc) describe()
8:10 library(pastecs) for stat.desc()
9:20 library(psych) describe(iris)
10:50 psych::describeBy(diamonds~color+clarity)
11.55 Subscribe to my channel
3 سال پیش
در تاریخ 1400/06/21 منتشر شده
است.
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