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maxer chinese astrology stx fhb interinos asturias 2012 presidential candidates dergestalt e-kart tipuri de colegiile two tailed z-test critical values large area of ringworm jami floyd elephant malade cirque pinder rennes koneser chomikuj dvdrip 201
maxer chinese astrology stx fhb interinos asturias 2012 presidential candidates dergestalt e-kart tipuri de colegiile two tailed z-test critical values large area of ringworm jami floyd elephant malade cirque pinder rennes koneser chomikuj dvdrip 201
maxer chinese astrology stx fhb interinos asturias 2012 presidential candidates dergestalt e-kart tipuri de colegiile two tailed z-test critical values large area of ringworm jami floyd elephant malade cirque pinder rennes koneser chomikuj dvdrip 201
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Idea Transcript
# This is a chunk of R code. All text after a # symbol is a comment # Set working directory using setwd() function setwd('Enter the path to my working directory') # Clear all variables in R's memory rm(list=ls()) # Standard code to clear R's memory
2 + 4 # Use R to add two numbers
## [1] 6
/ √n n
µ
µ
µ
Cpgmg = µ + Normal(0 , )
µ Normal(0, )
Cpgmg ~ 1
~
µ
µ
Cpgmg
wolf12
wolf = read.table('WOLF.CSV', header=T, sep=',') # Import wolf data set wolf12 = subset(wolf, Population!=3) # Extract data from population 1 & 2
wolf12
# Draw a histogram of the cortisol distribution with approximately 20 breaks # The main title has been removed by setting main='' hist(wolf12$Cpgmg, breaks=20, xlab='Cortisol Concentration [pg/mg]', ylab='Number of Observations', main='')
lm()
lm()
Cpgmg ~ 1
~ lm()
# Fit a linear model to the Cpgmg variable m = lm(Cpgmg ~ 1, data=wolf12) # Print a summary of the results summary(m)
## ## Call: ## lm(formula = Cpgmg ~ 1, data = wolf12) ## ## Residuals: ## Min 1Q Median 3Q Max ## -11.865 -4.455 -1.240 3.360 23.815 ## ## Coefficients: ## Estimate Std. Error t value Pr(>|t|) ## (Intercept) 16.6150 0.5051 32.9