R Codes
Tafa Oluwabukunmi Adetola Isaac
2025-10-08
The Book of R
- Here is my full work for The Book of R from chapter 1 to 9, from chapter 2 to 9 constit of exercise from topics from each chapter
chapter 1
Introduction
1.1 Obtaining and Installing R from CRAN Ris available for Windows, OS X, and Linux/Unix platforms. You can find the main collection of R resources online at the Comprehensive R #Archive Network (CRAN). If you go to the R project website at http:// www.r-project.org/, you can navigate to your local CRAN mirror and down load the installer relevant to your operating system. Section A.1 provides
step-by-step instructions for installing the base distribution of R.
1.2 Opening R for the First Time NOTE R is known as a high-level programming language. Level refers to the level of abstraction away from the fundamental details of computer execution. That is, a low level language will require you to do things such as manually manage the machine’s memory allotments, but with a high-level language like R, you’re fortunately spared these technicalities.
1.2.1 Console and Editor Panes options(prompt=“R>”)
1.2.2 Comments we use (#) fpr comment
1.2.3 Working Directory
## getwd()
## setwd()1.2.4 Installing and Loading R Packages
- Loading Packages
library(“MASS”)
- Installing Packages
install.packages(“ks”)
- Updating Packages
update.packages()
1.2.5 Help Files and Function Documentation ?mean ??“mean”
1.2.6 Third-Party Editors Use of any third-party editor, including RStudio, is by and large a personal choice. In this book, I simply assume use of the typical base R GUI application.
1.3 Saving Work and Exiting R 1.3.1 Workspaces q() 1.3.2 Scripts
1.4 Conventions
1.4.1 Coding for (myitem in 5:7)
Chapter 2
# Exercise 2.1
#a
#6a+42/3^(4.2-3.62)=29.50556
#Given That a=2.3
#6*(2.3)+42/3^(4.2-3.62)=29.50556
#given the value
a <- 2.3
(6 * a + 42) / (3^(4.2 - 3.62))## [1] 29.50556#Therefore the equation is true when a=2.3
# Whichof the following squares negative 4 and adds 2 to the result?
(-4)^2+2## [1] 18## [1] -14## [1] 256## [1] -256#b
#therefore (i) is the correct option
#c
# Using R, how would you calculate the square root of half of the average of the numbers 25.2, 15, 16.44, 15.3, and 18.6?
number <- c(25.5, 15, 16.44, 15.3, 18.6)
average <- mean(number)
half_average <- average/2
result <- sqrt(half_average)
result## [1] 3.013967## [1] 3.013967## [1] -1.203973## [1] -0.5228787## [1] -0.5228787## [1] 0.2999999#f
#Identify R’s representation of -000000000423546322 when printing this number to the console
-0.00000000423546322## [1] -4.235463e-09## [1] -4.235463e-09## [1] 10.70286#b
#Overwrite your object in (a) by itself divided by 2.33. Print the result to the console.
z <- x*y
z## [1] 10.70286## [1] 4.593504## [1] -8.2e-13## [1] -8.2e-26#Exercise 2.3
#a
# Create and store a sequence of values from 5 to 11 that progresses in steps of 0.3
myseq1 <- seq(from=5,to=-11,by=-0.3)
myseq1## [1] 5.0 4.7 4.4 4.1 3.8 3.5 3.2 2.9 2.6 2.3 2.0 1.7
## [13] 1.4 1.1 0.8 0.5 0.2 -0.1 -0.4 -0.7 -1.0 -1.3 -1.6 -1.9
## [25] -2.2 -2.5 -2.8 -3.1 -3.4 -3.7 -4.0 -4.3 -4.6 -4.9 -5.2 -5.5
## [37] -5.8 -6.1 -6.4 -6.7 -7.0 -7.3 -7.6 -7.9 -8.2 -8.5 -8.8 -9.1
## [49] -9.4 -9.7 -10.0 -10.3 -10.6 -10.9#b
# Overwrite the object from (above) using the same sequence with the order reversed.
# Step 1: Create the sequence
myseq1 <- rev(myseq1)
myseq1## [1] -10.9 -10.6 -10.3 -10.0 -9.7 -9.4 -9.1 -8.8 -8.5 -8.2 -7.9 -7.6
## [13] -7.3 -7.0 -6.7 -6.4 -6.1 -5.8 -5.5 -5.2 -4.9 -4.6 -4.3 -4.0
## [25] -3.7 -3.4 -3.1 -2.8 -2.5 -2.2 -1.9 -1.6 -1.3 -1.0 -0.7 -0.4
## [37] -0.1 0.2 0.5 0.8 1.1 1.4 1.7 2.0 2.3 2.6 2.9 3.2
## [49] 3.5 3.8 4.1 4.4 4.7 5.0#c
# Repeat the vector c(-1,3,-5,7,-9) twice, with each element repeated 10 times, and store the result. Display the result sorted from largest to smallest.
vec <- rep(x=c(-1,3,-5,7,-9),times=2,each=10)
vec## [1] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 3 3 3 3 3 3 3 3 3 3 -5 -5 -5 -5 -5
## [26] -5 -5 -5 -5 -5 7 7 7 7 7 7 7 7 7 7 -9 -9 -9 -9 -9 -9 -9 -9 -9 -9
## [51] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 3 3 3 3 3 3 3 3 3 3 -5 -5 -5 -5 -5
## [76] -5 -5 -5 -5 -5 7 7 7 7 7 7 7 7 7 7 -9 -9 -9 -9 -9 -9 -9 -9 -9 -9## [1] 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 3 3 3 3 3
## [26] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
## [51] -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -5 -5 -5 -5 -5 -5 -5 -5 -5 -5 -5 -5 -5 -5 -5
## [76] -5 -5 -5 -5 -5 -9 -9 -9 -9 -9 -9 -9 -9 -9 -9 -9 -9 -9 -9 -9 -9 -9 -9 -9 -9## [1] 100#d
#Create and store a vector that contains, in any configuration, the
#following:
#i
#Asequence of integers from 6 to 12 (inclusive)
A <- seq(from=6,to=12)
A## [1] 6 7 8 9 10 11 12## [1] 5.3 5.3 5.3## [1] -3## [1] 102.00 101.75 101.50 101.25 101.00 100.75 100.50 100.25 100.00## [1] 6.00 7.00 8.00 9.00 10.00 11.00 12.00 5.30 5.30 5.30
## [11] -3.00 102.00 101.75 101.50 101.25 101.00 100.75 100.50 100.25 100.00## [1] 20## [1] 3.000000 3.750000 4.500000 5.250000 6.000000 2.000000
## [7] -5.100000 -33.000000 2.000000 -5.100000 -33.000000 2.166667## [1] 3.000000 2.166667## [1] 3.000000 2.166667## [1] 3.75 4.50 5.25 6.00 2.00 -5.10 -33.00 2.00 -5.10 -33.00## [1] 3.000000 3.750000 4.500000 5.250000 6.000000 2.000000
## [7] -5.100000 -33.000000 2.000000 -5.100000 -33.000000 2.166667## [1] -33.000000 -33.000000 -5.100000 -5.100000 2.000000 2.000000
## [7] 2.166667 3.000000 3.750000 4.500000 5.250000 6.000000## [1] 6.000000 5.250000 4.500000 3.750000 3.000000 2.166667
## [7] 2.000000 2.000000 -5.100000 -5.100000 -33.000000 -33.000000## [1] 6.000000 5.250000 4.500000 3.750000 3.000000 2.166667
## [7] 2.000000 2.000000 -5.100000 -5.100000 -33.000000 -33.000000## [1] 5.25 5.25 5.25 -5.10 -5.10 -5.10 -5.10 -33.00## [1] -33.000000 -33.000000 -5.100000 -5.100000 2.000000 2.000000
## [7] 2.166667 3.000000 3.750000 4.500000 5.250000 6.000000## [1] 99.00 -33.00 -5.10 -5.10 98.00 97.00 96.00 3.00 3.75 4.50
## [11] 5.25 95.00## [1] 2.0 0.5 1.0 2.0 0.5 1.0 2.0 0.5 1.0## [1] 2.0 0.5 1.0## [1] 3## [1] 45 77 20 19 101 120 212## [1] 7.222222 25.000000 -6.666667 -7.222222 38.333333 48.888889 100.000000## [1] 2 4 6## [1] 1 2## [1] 2 4 6 4 8 12## [1] 2.0 -0.1 -100.0 -0.1 -100.0 12.0chapter 3
## [,1] [,2]
## [1,] 4.3 3.1
## [2,] 8.2 8.2
## [3,] 3.2 0.9
## [4,] 1.6 6.5## [,1] [,2]
## [1,] 8.2 8.2
## [2,] 3.2 0.9
## [3,] 1.6 6.5## [1] 3 2## [,1] [,2]
## [1,] 4.3 0.9
## [2,] 8.2 3.1
## [3,] 3.2 6.5
## [4,] 1.6 8.2## [,1]
## [1,] 0.9
## [2,] 3.1
## [3,] 6.5## [,1]
## [1,] 0.9
## [2,] 3.1
## [3,] 6.5## [,1] [,2]
## [1,] 3.2 6.5
## [2,] 1.6 8.2## [,1] [,2]
## [1,] 3.2 6.5
## [2,] 1.6 8.2## [,1] [,2]
## [1,] 4.3 0.9
## [2,] -0.5 -0.5
## [3,] 3.2 6.5
## [4,] -0.5 -0.5## [,1] [,2]
## [1,] 1 2
## [2,] 2 4
## [3,] 7 6## [,1] [,2]
## [1,] 10 20
## [2,] 30 40
## [3,] 50 60## [,1] [,2]
## [1,] -9 -18
## [2,] -28 -36
## [3,] -43 -54## [,1] [,2]
## [1,] -0.031746032 -0.015873016
## [2,] -0.010204082 -0.007936508
## [3,] -0.006644518 -0.005291005## [,1]
## [1,] 1
## [2,] 2
## [3,] 7## [,1]
## [1,] 3
## [2,] 4
## [3,] 8## [,1] [,2] [,3]
## [1,] 1 2 7#t(A)%*%B
#iii
#t(B)%*%(A%*%t(A))
#iv
#(A%*%t(A)%*%t(B))
#v
d <- (B%*%t(B))+(A%*%t(A))-100*diag(x=3)
d ## [,1] [,2] [,3]
## [1,] -90 14 31
## [2,] 14 -80 46
## [3,] 31 46 13## [,1] [,2] [,3]
## [1,] -0.007923676 0.003123274 0.007843334
## [2,] 0.003123274 -0.005350239 0.011483806
## [3,] 0.007843334 0.011483806 0.017584735## [,1] [,2] [,3] [,4]
## [1,] 1 0 0 0
## [2,] 0 1 0 0
## [3,] 0 0 1 0
## [4,] 0 0 0 1## [,1] [,2] [,3] [,4]
## [1,] 0 0 0 0
## [2,] 0 0 0 0
## [3,] 0 0 0 0
## [4,] 0 0 0 0## , , 1
##
## [,1] [,2]
## [1,] 4.8 0.8
## [2,] 3.8 4.8
## [3,] 2.8 3.8
## [4,] 1.8 2.8
##
## , , 2
##
## [,1] [,2]
## [1,] 1.8 2.8
## [2,] 0.8 1.8
## [3,] 4.8 0.8
## [4,] 3.8 4.8
##
## , , 3
##
## [,1] [,2]
## [1,] 3.8 4.8
## [2,] 2.8 3.8
## [3,] 1.8 2.8
## [4,] 0.8 1.8
##
## , , 4
##
## [,1] [,2]
## [1,] 0.8 1.8
## [2,] 4.8 0.8
## [3,] 3.8 4.8
## [4,] 2.8 3.8
##
## , , 5
##
## [,1] [,2]
## [1,] 2.8 3.8
## [2,] 1.8 2.8
## [3,] 0.8 1.8
## [4,] 4.8 0.8
##
## , , 6
##
## [,1] [,2]
## [1,] 4.8 0.8
## [2,] 3.8 4.8
## [3,] 2.8 3.8
## [4,] 1.8 2.8## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] 2.8 4.8 1.8 3.8 0.8 2.8
## [2,] 0.8 2.8 4.8 1.8 3.8 0.8## [1] 0.8 2.8 4.8 1.8 3.8 0.8## [1] 0.8 2.8 4.8 1.8 3.8 0.8 0.8 2.8 4.8 1.8 3.8 0.8 0.8 2.8 4.8 1.8 3.8 0.8 0.8
## [20] 2.8 4.8 1.8 3.8 0.8## , , 1, 1
##
## [,1] [,2]
## [1,] 0.8 4.8
## [2,] 2.8 1.8
##
## , , 2, 1
##
## [,1] [,2]
## [1,] 3.8 0.8
## [2,] 0.8 2.8
##
## , , 1, 2
##
## [,1] [,2]
## [1,] 4.8 3.8
## [2,] 1.8 0.8
##
## , , 2, 2
##
## [,1] [,2]
## [1,] 0.8 4.8
## [2,] 2.8 1.8
##
## , , 1, 3
##
## [,1] [,2]
## [1,] 3.8 0.8
## [2,] 0.8 2.8
##
## , , 2, 3
##
## [,1] [,2]
## [1,] 4.8 3.8
## [2,] 1.8 0.8## , , 1
##
## [,1] [,2]
## [1,] 4.8 0.8
## [2,] 3.8 4.8
## [3,] 2.8 3.8
## [4,] 1.8 2.8
##
## , , 2
##
## [,1] [,2]
## [1,] 1.8 2.8
## [2,] 0.8 1.8
## [3,] 4.8 0.8
## [4,] 3.8 4.8
##
## , , 3
##
## [,1] [,2]
## [1,] 3.8 4.8
## [2,] 2.8 3.8
## [3,] 1.8 2.8
## [4,] 0.8 1.8
##
## , , 4
##
## [,1] [,2]
## [1,] 0.8 1.8
## [2,] 4.8 0.8
## [3,] 3.8 4.8
## [4,] 2.8 3.8
##
## , , 5
##
## [,1] [,2]
## [1,] 2.8 3.8
## [2,] 1.8 2.8
## [3,] 0.8 1.8
## [4,] 4.8 0.8## , , 1
##
## [,1] [,2]
## [1,] 4.8 0.8
## [2,] 3.8 -99.0
## [3,] 2.8 3.8
## [4,] 1.8 -99.0
##
## , , 2
##
## [,1] [,2]
## [1,] 1.8 2.8
## [2,] 0.8 1.8
## [3,] 4.8 0.8
## [4,] 3.8 4.8
##
## , , 3
##
## [,1] [,2]
## [1,] 3.8 4.8
## [2,] 2.8 -99.0
## [3,] 1.8 2.8
## [4,] 0.8 -99.0
##
## , , 4
##
## [,1] [,2]
## [1,] 0.8 1.8
## [2,] 4.8 0.8
## [3,] 3.8 4.8
## [4,] 2.8 3.8
##
## , , 5
##
## [,1] [,2]
## [1,] 2.8 3.8
## [2,] 1.8 -99.0
## [3,] 0.8 1.8
## [4,] 4.8 -99.0chapter 4
## [1] 6 9 7 3 6 7 9 6 3 6 6 7 1 9 1## [1] 6 6 6 6 6## [1] 6 9 7 6 7 9 6 6 6 7 9## [1] 6 7 3 6 7 6 3 6 6 7 1 1## [1] 9 7 3 7 9 3 7 1 9 1## [1] 3 6 7 9 6 3 6 6 7 1 9 1## , , 1
##
## [,1] [,2]
## [1,] 3 7
## [2,] 6 9
##
## , , 2
##
## [,1] [,2]
## [1,] 6 6
## [2,] 3 6
##
## , , 3
##
## [,1] [,2]
## [1,] 7 9
## [2,] 1 1## [1] 6## , , 1
##
## [,1] [,2]
## [1,] 6 14
## [2,] 12 18
##
## , , 2
##
## [,1] [,2]
## [1,] 12 12
## [2,] 6 12
##
## , , 3
##
## [,1] [,2]
## [1,] 14 18
## [2,] 2 2## [1] 12## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
## [1,] 1 0 0 0 0 0 0 0 0 0
## [2,] 0 1 0 0 0 0 0 0 0 0
## [3,] 0 0 1 0 0 0 0 0 0 0
## [4,] 0 0 0 1 0 0 0 0 0 0
## [5,] 0 0 0 0 1 0 0 0 0 0
## [6,] 0 0 0 0 0 1 0 0 0 0
## [7,] 0 0 0 0 0 0 1 0 0 0
## [8,] 0 0 0 0 0 0 0 1 0 0
## [9,] 0 0 0 0 0 0 0 0 1 0
## [10,] 0 0 0 0 0 0 0 0 0 1## [1] 3 6 7 9 6 3 6 6 7 1 9 1## [1] 3 6 7 9 6 3 6 6 7 1 9 1## [1] 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0
## [38] 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
## [75] 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1## [1] 7 1 7 10 5 9 10 3 10 8## [1] 7 7 10 9 10 10 8## [1] 8 8 4 4 5 1 5 6 6 8## [1] 5 1 5 6 6## [1] 1 5 8## [1] 15 9 11 14 10 10 15 9 16 16## [1] 14 16 16## [1] 2.142857 9.000000 1.571429 1.400000 2.000000 1.111111 1.500000 3.000000
## [9] 1.600000 2.000000## [1] 9.000000 1.571429 1.400000 2.000000 1.111111 1.500000 1.600000 2.000000## [1] TRUE FALSE TRUE TRUE FALSE TRUE TRUE FALSE TRUE TRUE## [1] 7 5 6 1 2 10 8 3 8 2## [1] 7 5 6 10 8 8## [1] 1 2 3 2## [,1] [,2] [,3]
## [1,] 7 5 6
## [2,] 10 8 8## [,1] [,2] [,3]
## [1,] 7 5 6
## [2,] 10 25 25## [1] 7 10 5 25 6 25## [1] 10 5 1 4 7 4 3 3 1 3 4 3 1 7 8 3 7 3## , , 1
##
## [,1] [,2]
## [1,] 10 4
## [2,] 5 7
## [3,] 1 4
##
## , , 2
##
## [,1] [,2]
## [1,] 3 3
## [2,] 3 4
## [3,] 1 3
##
## , , 3
##
## [,1] [,2]
## [1,] 1 3
## [2,] 7 7
## [3,] 8 3## dim1 dim2 dim3
## [1,] 1 2 1
## [2,] 3 2 1
## [3,] 1 1 2
## [4,] 2 1 2
## [5,] 1 2 2
## [6,] 2 2 2
## [7,] 3 2 2
## [8,] 1 2 3
## [9,] 3 2 3## [1] 100 5 100 4 100 4 3 3 100 3 4 3 100 100 100 3 100 3## [1] 5 1 10 3 2## [1] 7## "The quick brown fox
## jumped over
## the lazy dogs"## [1] 4## [1] 0.75## [1] "The result of multiplying 4 by 0.75 is 3"## [1] "/Users/tafa/Documents/RBook/"## [1] "if a woodchuck could chuck wood"## [1] "if a metalchuck could chuck metal"## [1] "Two 6-packs for $12.99"## [1] TRUE## [1] "Two 6-packs for $10.99"## [1] "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M" "M"
## [20] "M"## [1] "F" "M" "M" "M" "F" "F" "F" "M" "M" "M" "M" "F" "M" "F" "F" "F" "M" "M" "M"
## [20] "M"## [1] "New Zealand" "New Zealand" "New Zealand" "New Zealand" "New Zealand"
## [6] "New Zealand" "New Zealand" "New Zealand" "New Zealand" "New Zealand"
## [11] "New Zealand" "New Zealand" "New Zealand" "New Zealand" "New Zealand"
## [16] "New Zealand" "New Zealand" "New Zealand" "New Zealand" "New Zealand"## [1] "Labour" "New Zealand" "New Zealand" "Labour" "New Zealand"
## [6] "New Zealand" "New Zealand" "New Zealand" "New Zealand" "New Zealand"
## [11] "New Zealand" "Labour" "New Zealand" "New Zealand" "Labour"
## [16] "Labour" "New Zealand" "New Zealand" "Labour" "New Zealand"## [1] "Labour" "New Zealand" "New Zealand" "Labour" "New Zealand"
## [6] "Greens" "New Zealand" "New Zealand" "Greens" "New Zealand"
## [11] "Greens" "Labour" "New Zealand" "New Zealand" "Labour"
## [16] "Labour" "New Zealand" "New Zealand" "Labour" "New Zealand"## [1] "Labour" "New Zealand" "New Zealand" "Labour" "New Zealand"
## [6] "Greens" "New Zealand" "New Zealand" "Greens" "Other"
## [11] "Greens" "Labour" "New Zealand" "New Zealand" "Labour"
## [16] "Labour" "New Zealand" "New Zealand" "Labour" "Other"## [1] "Labour" "National" "National" "Labour" "National" "Greens"
## [7] "National" "National" "Greens" "Other" "Greens" "Labour"
## [13] "National" "National" "Labour" "Labour" "National" "National"
## [19] "Labour" "Other"## [1] F M M M F F F M M M M F M F F F M M M M
## Levels: F M## [1] Labour National National Labour National Greens National National
## [9] Greens Other Greens Labour National National Labour Labour
## [17] National National Labour Other
## Levels: Greens Labour National Other## [1] "F" "M"## [1] "Greens" "Labour" "National" "Other"## [1] National National Labour National Greens Other Greens National
## [9] National National Labour Other
## Levels: Greens Labour National Other## [1] M M F F M M F M M
## Levels: F M## [1] "National" "Maori" "Maori" "Labour" "Greens" "Labour"## [1] "M" "M" "F" "F" "F" "M"## [1] National Maori Maori Labour Greens Labour
## Levels: Greens Labour Maori National## [1] M M F F F M
## Levels: F M## [1] Labour National National Labour National Greens National National
## [9] Greens Other Greens Labour National National Labour Labour
## [17] National National Labour Other National Maori Maori Labour
## [25] Greens Labour
## Levels: Greens Labour National Other Maori## [1] F M M M F F F M M M M F M F F F M M M M M M F F F M
## Levels: F M## [1] 93 55 29 100 52 84 56 0 33 52 35 53 46 40 40 56 45 64 31
## [20] 10 29 40 95 18 61## [1] 0 30 70 100## [1] (70,100] (30,70] [0,30] (70,100] (30,70] (70,100] (30,70] [0,30]
## [9] (30,70] (30,70] (30,70] (30,70] (30,70] (30,70] (30,70] (30,70]
## [17] (30,70] (30,70] (30,70] [0,30] [0,30] (30,70] (70,100] [0,30]
## [25] (30,70]
## Levels: [0,30] (30,70] (70,100]## [1] 93 100 53 40 56 31 18 NA## [1] 55 29 52 56 0 46 40 45 64 29Chapter 5
#Exercise5.1
#a
my_list <- list(
seq_20=seq(-4,4,length.out=20),
log_mat=matrix(c(F,T,T,T,F,T,T,F,F),nrow=3,ncol=3,byrow=F),words=c("don","quixote"),
levels=factor(c("LOW","MED","LOW","MED","MED","HIGH"))
)
my_list## $seq_20
## [1] -4.0000000 -3.5789474 -3.1578947 -2.7368421 -2.3157895 -1.8947368
## [7] -1.4736842 -1.0526316 -0.6315789 -0.2105263 0.2105263 0.6315789
## [13] 1.0526316 1.4736842 1.8947368 2.3157895 2.7368421 3.1578947
## [19] 3.5789474 4.0000000
##
## $log_mat
## [,1] [,2] [,3]
## [1,] FALSE TRUE TRUE
## [2,] TRUE FALSE FALSE
## [3,] TRUE TRUE FALSE
##
## $words
## [1] "don" "quixote"
##
## $levels
## [1] LOW MED LOW MED MED HIGH
## Levels: HIGH LOW MED## [,1] [,2]
## [1,] FALSE FALSE
## [2,] TRUE TRUE## [1] "Don" "quixote"## [1] "Don" "Quixote"## "Windmills! ATTACK!"-\Don Quixote/-## [1] -4.0000000 -3.5789474 -3.1578947 -2.7368421 -2.3157895 -1.8947368
## [7] -1.4736842 -1.0526316 -0.6315789 -0.2105263 0.2105263 0.6315789
## [13] 1.0526316 1.4736842 1.8947368 2.3157895 2.7368421 3.1578947
## [19] 3.5789474 4.0000000## [1] 1.052632 1.473684 1.894737 2.315789 2.736842 3.157895 3.578947 4.000000## [1] LOW MED LOW MED MED HIGH
## Levels: HIGH LOW MED## [1] 2 4 5## [1] 3.0 2.1 3.3 4.0 1.5 4.9## $facs
## [1] LOW MED LOW MED MED HIGH
## Levels: HIGH LOW MED
##
## $nums
## [1] 3.0 2.1 3.3 4.0 1.5 4.9
##
## $oldlist
## $oldlist$seq_20
## [1] -4.0000000 -3.5789474 -3.1578947 -2.7368421 -2.3157895 -1.8947368
## [7] -1.4736842 -1.0526316 -0.6315789 -0.2105263 0.2105263 0.6315789
## [13] 1.0526316 1.4736842 1.8947368 2.3157895 2.7368421 3.1578947
## [19] 3.5789474 4.0000000
##
## $oldlist$log_mat
## [,1] [,2] [,3]
## [1,] FALSE TRUE TRUE
## [2,] TRUE FALSE FALSE
## [3,] TRUE TRUE FALSE
##
## $oldlist$words
## [1] "Don" "Quixote"## [1] LOW LOW MED HIGH
## Levels: HIGH LOW MED## [1] TRUE FALSE FALSE## [1] TRUE FALSE FALSE TRUE FALSE FALSE## [1] 2.1 3.3 1.5 4.9## [1] "Don Quixote"## $facs
## [1] LOW MED LOW MED MED HIGH
## Levels: HIGH LOW MED
##
## $nums
## [1] 3.0 2.1 3.3 4.0 1.5 4.9
##
## $oldlist
## $oldlist$seq_20
## [1] -4.0000000 -3.5789474 -3.1578947 -2.7368421 -2.3157895 -1.8947368
## [7] -1.4736842 -1.0526316 -0.6315789 -0.2105263 0.2105263 0.6315789
## [13] 1.0526316 1.4736842 1.8947368 2.3157895 2.7368421 3.1578947
## [19] 3.5789474 4.0000000
##
## $oldlist$log_mat
## [,1] [,2] [,3]
## [1,] FALSE TRUE TRUE
## [2,] TRUE FALSE FALSE
## [3,] TRUE TRUE FALSE
##
## $oldlist$words
## [1] "Don Quixote"
##
##
## $flags
## [1] TRUE FALSE FALSE TRUE FALSE FALSE#Exercise 5.2
#a
dframe <- data.frame(
person = c("Stan","Francine","Steve","Roger","Haylay","Klaus"),
sex = factor(c("M","F","M","M","F","M")),
funny = c("High","Med","Low","High","Med","Med")
)
dframe## person sex funny
## 1 Stan M High
## 2 Francine F Med
## 3 Steve M Low
## 4 Roger M High
## 5 Haylay F Med
## 6 Klaus M Med## [1] 41 41 15 1600 21 60## person sex funny age
## 1 Stan M High 41
## 2 Francine F Med 41
## 3 Steve M Low 15
## 4 Roger M High 1600
## 5 Haylay F Med 21
## 6 Klaus M Med 60## person age sex funny
## 1 Stan 41 M High
## 2 Francine 41 F Med
## 3 Steve 15 M Low
## 4 Roger 1600 M High
## 5 Haylay 21 F Med
## 6 Klaus 60 M Med#d
mydata <- data.frame(
person = c("Peter", "Lois", "Meg", "Chris", "Stewie"),
age = c(42, 40, 17, 14, 1),
sex = factor(c("M", "F", "F", "M", "M"))
)
mydata## person age sex
## 1 Peter 42 M
## 2 Lois 40 F
## 3 Meg 17 F
## 4 Chris 14 M
## 5 Stewie 1 M## [1] F M M
## Levels: F M## sex person
## 1 M Peter
## 2 F Lois
## 3 F Meg
## 4 M Chris
## 5 M Stewie## person age sex
## 1 Brian 7 M## person age sex
## 1 Peter 42 M
## 2 Lois 40 F
## 3 Meg 17 F
## 4 Chris 14 M
## 5 Stewie 1 M
## 6 Brian 7 M## [1] "High" "High" "Low" "Med" "High" "Med"## [1] High High Low Med High Med
## Levels: Low Med High## [1] High High Low Med High Med
## Levels: Low Med High## person age sex funny
## 1 Peter 42 M High
## 2 Lois 40 F High
## 3 Meg 17 F Low
## 4 Chris 14 M Med
## 5 Stewie 1 M High
## 6 Brian 7 M Med## person age sex funny age.mon
## 1 Peter 42 M High 504
## 2 Lois 40 F High 480
## 3 Meg 17 F Low 204
## 4 Chris 14 M Med 168
## 5 Stewie 1 M High 12
## 6 Brian 7 M Med 84## [1] TRUE FALSE FALSE TRUE TRUE TRUE## person age sex funny age.mon
## 1 Peter 42 M High 504
## 4 Chris 14 M Med 168
## 5 Stewie 1 M High 12
## 6 Brian 7 M Med 84## person age funny age.mon
## 1 Peter 42 High 504
## 4 Chris 14 Med 168
## 5 Stewie 1 High 12
## 6 Brian 7 Med 84## person age sex funny age.mon
## 1 Peter 42 M High 504
## 2 Lois 40 F High 480
## 3 Meg 17 F Low 204
## 4 Chris 14 M Med 168
## 5 Stewie 1 M High 12## [1] person age sex funny age.mon
## <0 rows> (or 0-length row.names)## person age sex funny
## 1 Peter 42 M High
## 2 Lois 40 F High
## 3 Meg 17 F Low
## 4 Chris 14 M Med
## 5 Stewie 1 M High
## 6 Brian 7 M Med## person age sex funny
## 1 Stan 41 M High
## 2 Francine 41 F Med
## 3 Steve 15 M Low
## 4 Roger 1600 M High
## 5 Haylay 21 F Med
## 6 Klaus 60 M Med
## 7 Peter 42 M High
## 8 Lois 40 F High
## 9 Meg 17 F Low
## 10 Chris 14 M Med
## 11 Stewie 1 M High
## 12 Brian 7 M Med## person age
## 2 Francine 41
## 5 Haylay 21
## 8 Lois 40## person age sex funny
## 1 Stan 41 M High
## 3 Steve 15 M Low
## 11 Stewie 1 M HighChapter 6
## [1] 13563 -14156 -14319 16981 12921 11979 9568 8833 -12968 8133#i Output all elements of foo that, when raised to a power of 75,
#are NOT infinite.
foo[is.finite(foo^75)]## [1] 11979 9568 8833 8133#ii Return the elements of foo, excluding those that result in
#negative infinity when raised to a power of 75.
foo[foo^75!=-Inf]## [1] 13563 16981 12921 11979 9568 8833 8133#b
bar <- matrix(data=c(77875.40,-35466.25,-39803.81,27551.45,
-73333.85,55976.34,23764.30,36599.69,
76694.82,-36478.88,-70585.69,47032.00),nrow=3,ncol=4)
bar## [,1] [,2] [,3] [,4]
## [1,] 77875.40 27551.45 23764.30 -36478.88
## [2,] -35466.25 -73333.85 36599.69 -70585.69
## [3,] -39803.81 55976.34 76694.82 47032.00## [,1] [,2] [,3] [,4]
## [1,] NaN 0 0 0
## [2,] 0 NaN 0 NaN
## [3,] 0 NaN NaN 0## [1] 77875.40 -73333.85 55976.34 76694.82 -70585.69## [,1] [,2] [,3] [,4]
## [1,] Inf Inf Inf Inf
## [2,] Inf NaN Inf NaN
## [3,] Inf Inf Inf Inf## [1] 77875.40 -35466.25 -39803.81 27551.45 55976.34 23764.30 36599.69
## [8] 76694.82 -36478.88 47032.00## [1] 77875.40 -35466.25 -39803.81 27551.45 55976.34 23764.30 36599.69
## [8] 76694.82 -36478.88 47032.00## [1] TRUE## [,1] [,2] [,3] [,4]
## [1,] Inf 3.088011e+297 1.538072e+293 -4.53712e+305
## [2,] -6.880550e+304 -Inf 5.662214e+305 -Inf
## [3,] -1.566575e+308 Inf Inf Inf## [1] -35466.25 -39803.81 27551.45 -73333.85 23764.30 36599.69 -36478.88
## [8] -70585.69## [1] 4.3 2.2 2.4 NaN 3.3 3.1 3.4 NA## [1] 8## [1] TRUE## [1] 4 8## integer(0)## numeric(0)## [1] NA## [[1]]
## [1] 7 7 NA 3 NA 1 1 5 NA## $alpha
## [1] 7 7 NA 3 NA 1 1 5 NA## [1] FALSE## $alpha
## [1] 7 7 NA 3 NA 1 1 5 NA
##
## $beta
## [1] 3 5 9## , , 1
##
## [,1] [,2] [,3]
## [1,] 1 4 7
## [2,] 2 5 8
## [3,] 3 6 9
##
## , , 2
##
## [,1] [,2] [,3]
## [1,] 10 13 16
## [2,] 11 14 17
## [3,] 12 15 18
##
## , , 3
##
## [,1] [,2] [,3]
## [1,] 19 22 25
## [2,] 20 23 26
## [3,] 21 24 27
##
## , , 4
##
## [,1] [,2] [,3]
## [1,] 28 31 34
## [2,] 29 32 35
## [3,] 30 33 36## [1] "array"## [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
## [26] 26 27 28 29 30 31 32 33 34 35 36## [1] "integer"## [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" "13" "14" "15"
## [16] "16" "17" "18" "19" "20" "21" "22" "23" "24" "25" "26" "27" "28" "29" "30"
## [31] "31" "32" "33" "34" "35" "36"## [1] "character"## [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
## [26] 26 27 28 29 30 31 32 33 34 35 36
## 36 Levels: 1 10 11 12 13 14 15 16 17 18 19 2 20 21 22 23 24 25 26 27 28 ... 9## [1] "factor"## [1] 0.9 2.1 2.9 4.1 4.9 6.1 6.9 8.1 8.9 10.1 10.9 12.1 12.9 14.1 14.9
## [16] 16.1 16.9 18.1 18.9 20.1 20.9 22.1 22.9 24.1 24.9 26.1 26.9 28.1 28.9 30.1
## [31] 30.9 32.1 32.9 34.1 34.9 36.1## [1] "numeric"## [1] 2the_sum <- c(
is.numeric(foo) + is.integer(foo),
is.numeric(bar) + is.integer(bar),
is.numeric(baz) + is.integer(baz),
is.numeric(qux) + is.integer(qux),
is.numeric(quux) + is.integer(quux)
)
the_sum## [1] 2 2 0 0 1## [1] 2 2 0 0 1
## Levels: 0 1 2## [1] 3 3 1 1 2## [,1] [,2] [,3] [,4]
## [1,] 2 5 8 11
## [2,] 3 6 9 12
## [3,] 4 7 10 13## [1] "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" "13"## [,1] [,2] [,3]
## [1,] 34 0 1
## [2,] 23 1 2
## [3,] 33 1 1
## [4,] 42 0 1
## [5,] 41 0 2## X1 X2 X3
## 1 34 0 1
## 2 23 1 2
## 3 33 1 1
## 4 42 0 1
## 5 41 0 2## [1] FALSE TRUE TRUE FALSE FALSE## [1] 1 2 1 1 2
## Levels: 1 2Chapter 7
# chapter 7
#Title and Axis Labels
plot(foo,bar,type="b",main="My lovely plot",xlab="x axis label",
ylab="location y")
#Line and Point Appearances
plot(foo,bar,type="b",main="My lovely plot",xlab="",ylab="",
col=4,pch=8,lty=2,cex=2.3,lwd=3.3)
#Plotting Region Limits
plot(foo,bar,type="b",main="My lovely plot",xlab="",ylab="",
col=4,pch=8,lty=2,cex=2.3,lwd=3.3,xlim=c(-10,5),ylim=c(-3,3))
plot(foo,bar,type="b",main="My lovely plot",xlab="",ylab="",
col=6,pch=15,lty=3,cex=0.7,lwd=2,xlim=c(3,5),ylim=c(-0.5,0.2))
#Adding Points, Lines, and Text to an Existing Plot
# points Adds points
#lines, abline, segments Adds lines
#text Writes text
#arrows Adds arrows
#legend Adds a legend
x <- 1:20
x## [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20y <- c(-1.49,3.37,2.59,-2.78,-3.94,-0.92,6.43,8.51,3.41,-8.23,-12.01,-6.58,2.87,14.12,9.63,-4.58,-14.78,-11.67,1.17,15.62)
y## [1] -1.49 3.37 2.59 -2.78 -3.94 -0.92 6.43 8.51 3.41 -8.23
## [11] -12.01 -6.58 2.87 14.12 9.63 -4.58 -14.78 -11.67 1.17 15.62plot(x,y,type="n",main="")
abline(h=c(-5,5),col="red",lty=2,lwd=2)
segments(x0=c(5,15),y0=c(-5,-5),x1=c(5,15),y1=c(5,5),col="red",lty=3,
lwd=2)
points(x[y>=5],y[y>=5],pch=4,col="darkmagenta",cex=2)
points(x[y<=-5],y[y<=-5],pch=3,col="darkgreen",cex=2)
points(x[(x>=5&x<=15)&(y>-5&y<5)],y[(x>=5&x<=15)&(y>-5&y<5)],pch=19,
col="blue")
points(x[(x<5|x>15)&(y>-5&y<5)],y[(x<5|x>15)&(y>-5&y<5)])
lines(x,y,lty=4)
arrows(x0=8,y0=14,x1=11,y1=2.5)
text(x=8,y=15,labels="sweet spot")
legend("bottomleft",
legend=c("overall process","sweet","standard",
"too big","too small","sweet y range","sweet x range"),
pch=c(NA,19,1,4,3,NA,NA),lty=c(4,NA,NA,NA,NA,2,3),
col=c("black","blue","black","darkmagenta","darkgreen","red","red"),
lwd=c(1,NA,NA,NA,NA,2,2),pt.cex=c(NA,1,1,2,2,NA,NA))
#Exercise 7.1
#1
x <- -3:3
y <- 7:13
plot(x,y,type="n",main="")
abline(h=c(7,13),col=8,lty=2,lwd=2)
abline(v=c(-3,3),col=8,lty=2,lwd=2)
arrows(x0=-2.5,y0=7.5,x1=-1,y1=9.5,col=8,lwd=1,length=0.15,angle=30)
arrows(x0=-2.5,y0=10,x1=-1,y1=10,col=8,lwd=1,length=0.15,angle=30)
arrows(x0=-2.5,y0=12.5,x1=-1,y1=10.5,col=8,lwd=1,length=0.15,angle=30)
arrows(x0=2.5,y0=7.5,x1=1,y1=9.5,col=8,lwd=1,length=0.15,angle=30)
arrows(x0=2.5,y0=10,x1=1,y1=10,col=8,lwd=1,length=0.15,angle=30)
arrows(x0=2.5,y0=12.5,x1=1,y1=10.5,col=8,lwd=1,length=0.15,angle=30)
text(x=0,y=10,labels="SOMETHING\nPROFOUND",cex=1)
## [1] 55 85 75 42 93 63 58 75 89 67## [1] 161 185 174 154 188 178 170 167 181 178## [1] "Female" "Male" "Male" "Female" "Male" "Male" "Female" "Male"
## [9] "Male" "Female"## Weight Height sex
## 1 55 161 Female
## 2 85 185 Male
## 3 75 174 Male
## 4 42 154 Female
## 5 93 188 Male
## 6 63 178 Male
## 7 58 170 Female
## 8 75 167 Male
## 9 89 181 Male
## 10 67 178 FemaleMale <- sex=="Male"
Female <- sex=="Female"
plot(weight[Male],height[Male],pch=16,col="blue",
xlab = "Weight(kg)", ylab = "Height(cm)",
main = "ISAAC PLOT", xlim = c(40, 100), ylim = c(150, 190))
points(weight[Female], height[Female], pch = 17, col = "red")
legend("bottomright", legend = c("Male", "Female"),
col = c("blue", "red"), pch = c(16, 17))
## Warning: package 'ggplot2' was built under R version 4.5.1## Warning: `qplot()` was deprecated in ggplot2 3.4.0.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
## NULL
# 7.4.2 Setting Appearance Constants with Geoms
qplot(foo,bar,geom="blank") + geom_point() + geom_line()
qplot(foo,bar,geom="blank") + geom_point(size=3,shape=6,color="blue") +
geom_line(color="red",linetype=2)
myqplot <- qplot(foo,bar,geom="blank") + geom_line(color="red",linetype=2)
myqplot + geom_point(size=3,shape=3,color="blue")
# 7.4.3 Aesthetic Mapping with Geoms
x <- 1:20
y <- c(-1.49,3.37,2.59,-2.78,-3.94,-0.92,6.43,8.51,3.41,-8.23,
-12.01,-6.58,2.87,14.12,9.63,-4.58,-14.78,-11.67,1.17,15.62)
ptype <- rep(NA,length(x=x))
ptype[y>=5] <- "too_big"
ptype[y<=-5] <- "too_small"
ptype[(x>=5&x<=15)&(y>-5&y<5)] <- "sweet"
ptype[(x<5|x>15)&(y>-5&y<5)] <- "standard"
ptype <- factor(x=ptype)
ptype## [1] standard standard standard standard sweet sweet too_big
## [8] too_big sweet too_small too_small too_small sweet too_big
## [15] too_big standard too_small too_small standard too_big
## Levels: standard sweet too_big too_small
qplot(x,y,color=ptype,shape=ptype) + geom_point(size=4) +
geom_line(mapping=aes(group=1),color="black",lty=2) +
geom_hline(mapping=aes(yintercept=c(-5,5)),color="red") +
geom_segment(mapping=aes(x=5,y=-5,xend=5,yend=5),color="red",lty=3) +
geom_segment(mapping=aes(x=15,y=-5,xend=15,yend=5),color="red",lty=3)
## Weight Height Sex
## 1 55 161 Female
## 2 85 185 Male
## 3 75 174 Male
## 4 42 154 Female
## 5 93 188 Male
## 6 63 178 Male
## 7 58 170 Female
## 8 75 167 Male
## 9 89 181 Male
## 10 67 178 Femaleggplot(data, aes(x = Weight, y = Height, color = Sex, shape = Sex)) +
geom_point(size = 3) +
labs(title = "ISAAC PLOT",
x = "Weight (kg)", y = "Height (cm)") +
scale_color_manual(values = c("Female" = "red", "Male" = "blue")) +
theme_minimal()
Chapter 8
## lat long depth mag stations
## 1 -20.42 181.62 562 4.8 41
## 2 -20.62 181.03 650 4.2 15
## 3 -26.00 184.10 42 5.4 43
## 4 -17.97 181.66 626 4.1 19
## 5 -20.42 181.96 649 4.0 11
## 6 -19.68 184.31 195 4.0 12
## 7 -11.70 166.10 82 4.8 43
## 8 -28.11 181.93 194 4.4 15
## 9 -28.74 181.74 211 4.7 35
## 10 -17.47 179.59 622 4.3 19
## 11 -21.44 180.69 583 4.4 13
## 12 -12.26 167.00 249 4.6 16
## 13 -18.54 182.11 554 4.4 19
## 14 -21.00 181.66 600 4.4 10
## 15 -20.70 169.92 139 6.1 94
## 16 -15.94 184.95 306 4.3 11
## 17 -13.64 165.96 50 6.0 83
## 18 -17.83 181.50 590 4.5 21
## 19 -23.50 179.78 570 4.4 13
## 20 -22.63 180.31 598 4.4 18
## 21 -20.84 181.16 576 4.5 17
## 22 -10.98 166.32 211 4.2 12
## 23 -23.30 180.16 512 4.4 18
## 24 -30.20 182.00 125 4.7 22
## 25 -19.66 180.28 431 5.4 57
## 26 -17.94 181.49 537 4.0 15
## 27 -14.72 167.51 155 4.6 18
## 28 -16.46 180.79 498 5.2 79
## 29 -20.97 181.47 582 4.5 25
## 30 -19.84 182.37 328 4.4 17
## 31 -22.58 179.24 553 4.6 21
## 32 -16.32 166.74 50 4.7 30
## 33 -15.55 185.05 292 4.8 42
## 34 -23.55 180.80 349 4.0 10
## 35 -16.30 186.00 48 4.5 10
## 36 -25.82 179.33 600 4.3 13
## 37 -18.73 169.23 206 4.5 17
## 38 -17.64 181.28 574 4.6 17
## 39 -17.66 181.40 585 4.1 17
## 40 -18.82 169.33 230 4.4 11
## 41 -37.37 176.78 263 4.7 34
## 42 -15.31 186.10 96 4.6 32
## 43 -24.97 179.82 511 4.4 23
## 44 -15.49 186.04 94 4.3 26
## 45 -19.23 169.41 246 4.6 27
## 46 -30.10 182.30 56 4.9 34
## 47 -26.40 181.70 329 4.5 24
## 48 -11.77 166.32 70 4.4 18
## 49 -24.12 180.08 493 4.3 21
## 50 -18.97 185.25 129 5.1 73
## 51 -18.75 182.35 554 4.2 13
## 52 -19.26 184.42 223 4.0 15
## 53 -22.75 173.20 46 4.6 26
## 54 -21.37 180.67 593 4.3 13
## 55 -20.10 182.16 489 4.2 16
## 56 -19.85 182.13 562 4.4 31
## 57 -22.70 181.00 445 4.5 17
## 58 -22.06 180.60 584 4.0 11
## 59 -17.80 181.35 535 4.4 23
## 60 -24.20 179.20 530 4.3 12
## 61 -20.69 181.55 582 4.7 35
## 62 -21.16 182.40 260 4.1 12
## 63 -13.82 172.38 613 5.0 61
## 64 -11.49 166.22 84 4.6 32
## 65 -20.68 181.41 593 4.9 40
## 66 -17.10 184.93 286 4.7 25
## 67 -20.14 181.60 587 4.1 13
## 68 -21.96 179.62 627 5.0 45
## 69 -20.42 181.86 530 4.5 27
## 70 -15.46 187.81 40 5.5 91
## 71 -15.31 185.80 152 4.0 11
## 72 -19.86 184.35 201 4.5 30
## 73 -11.55 166.20 96 4.3 14
## 74 -23.74 179.99 506 5.2 75
## 75 -17.70 181.23 546 4.4 35
## 76 -23.54 180.04 564 4.3 15
## 77 -19.21 184.70 197 4.1 11
## 78 -12.11 167.06 265 4.5 23
## 79 -21.81 181.71 323 4.2 15
## 80 -28.98 181.11 304 5.3 60
## 81 -34.02 180.21 75 5.2 65
## 82 -23.84 180.99 367 4.5 27
## 83 -19.57 182.38 579 4.6 38
## 84 -20.12 183.40 284 4.3 15
## 85 -17.70 181.70 450 4.0 11
## 86 -19.66 184.31 170 4.3 15
## 87 -21.50 170.50 117 4.7 32
## 88 -23.64 179.96 538 4.5 26
## 89 -15.43 186.30 123 4.2 16
## 90 -15.41 186.44 69 4.3 42
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## 597 -12.84 166.78 150 4.9 35
## 598 -17.02 182.93 406 4.0 17
## 599 -23.89 182.39 243 4.7 32
## 600 -23.07 184.03 89 4.7 32
## 601 -27.98 181.96 53 5.2 89
## 602 -28.10 182.25 68 4.6 18
## 603 -21.24 180.81 605 4.6 34
## 604 -21.24 180.86 615 4.9 23
## 605 -19.89 174.46 546 5.7 99
## 606 -32.82 179.80 176 4.7 26
## 607 -22.00 185.50 52 4.4 18
## 608 -21.57 185.62 66 4.9 38
## 609 -24.50 180.92 377 4.8 43
## 610 -33.03 180.20 186 4.6 27
## 611 -30.09 182.40 51 4.4 18
## 612 -22.75 170.99 67 4.8 35
## 613 -17.99 168.98 234 4.7 28
## 614 -19.60 181.87 597 4.2 18
## 615 -15.65 186.26 64 5.1 54
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## 617 -22.04 184.91 47 4.9 47
## 618 -20.06 168.69 49 5.1 49
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## 620 -12.85 165.67 75 4.4 30
## 621 -33.29 181.30 60 4.7 33
## 622 -34.63 179.10 278 4.7 24
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## 624 -23.78 180.31 518 5.1 71
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## 626 -23.97 179.91 518 4.5 23
## 627 -34.12 181.75 75 4.7 41
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## 633 -28.56 183.59 53 4.4 20
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## 656 -22.87 171.72 47 4.6 27
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## 660 -17.88 180.58 622 4.2 23
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## 664 -23.46 180.11 539 5.0 41
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## 667 -18.26 180.98 631 4.8 36
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## 670 -18.60 184.28 255 4.4 31
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## 674 -19.34 182.62 573 4.5 32
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## 676 -24.97 182.85 137 4.8 40
## 677 -15.97 186.08 143 4.6 41
## 678 -23.47 180.24 511 4.8 37
## 679 -23.11 179.15 564 4.7 17
## 680 -20.54 181.66 559 4.9 50
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## 682 -20.16 184.27 210 4.4 27
## 683 -25.48 180.94 390 4.6 33
## 684 -18.19 181.74 616 4.3 17
## 685 -15.35 186.40 98 4.4 17
## 686 -18.69 169.10 218 4.2 27
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## 688 -17.61 183.32 356 4.2 15
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## 695 -25.23 179.86 476 4.4 29
## 696 -23.90 179.90 579 4.4 16
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## 698 -15.43 185.19 249 4.0 11
## 699 -14.30 167.32 208 4.8 25
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## 702 -17.64 177.01 545 5.2 91
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## 724 -26.50 178.29 609 5.0 50
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## 726 -18.76 169.71 287 4.4 23
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## 729 -23.50 180.00 550 4.7 23
## 730 -21.26 181.69 487 4.4 20
## 731 -17.97 181.48 578 4.7 43
## 732 -26.02 181.20 361 4.7 32
## 733 -30.30 180.80 275 4.0 14
## 734 -24.89 179.67 498 4.2 14
## 735 -14.57 167.24 162 4.5 18
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## 737 -22.06 183.95 134 4.5 17
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## 740 -25.28 181.17 367 4.3 25
## 741 -20.63 181.61 599 4.6 30
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## 743 -22.10 185.30 50 4.6 22
## 744 -38.59 175.70 162 4.7 36
## 745 -19.30 183.00 302 5.0 65
## 746 -31.03 181.59 57 5.2 49
## 747 -30.51 181.30 203 4.4 20
## 748 -22.55 183.34 66 4.6 18
## 749 -22.14 180.64 591 4.5 18
## 750 -25.60 180.30 440 4.0 12
## 751 -18.04 181.84 611 4.2 20
## 752 -21.29 185.77 57 5.3 69
## 753 -21.08 180.85 627 5.9 119
## 754 -20.64 169.66 89 4.9 42
## 755 -24.41 180.03 500 4.5 34
## 756 -12.16 167.03 264 4.4 14
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## 758 -21.13 185.60 85 5.3 86
## 759 -12.34 167.43 50 5.1 47
## 760 -16.43 186.73 75 4.1 20
## 761 -20.70 184.30 182 4.3 17
## 762 -21.18 180.92 619 4.5 18
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## 765 -13.70 166.75 46 5.3 71
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## 775 -21.60 180.50 595 4.0 22
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## 818 -16.21 186.52 111 4.8 30
## 819 -21.75 180.67 595 4.6 30
## 820 -22.10 180.40 603 4.1 11
## 821 -24.97 179.54 505 4.9 50
## 822 -19.36 186.36 100 4.7 40
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## 824 -21.48 182.44 364 4.3 20
## 825 -18.54 168.93 100 4.4 17
## 826 -21.62 182.40 350 4.0 12
## 827 -13.40 166.90 228 4.8 15
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## 829 -15.67 185.23 66 4.4 34
## 830 -21.78 183.11 225 4.6 21
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## 840 -18.97 169.44 242 5.0 41
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## 856 -18.50 185.40 243 4.0 11
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## 872 -11.38 167.05 133 4.5 32
## 873 -11.02 167.01 62 4.9 36
## 874 -22.09 180.58 580 4.4 22
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## 877 -18.85 182.20 501 4.2 23
## 878 -21.91 181.28 548 4.5 30
## 879 -22.03 179.77 587 4.8 31
## 880 -18.10 181.63 592 4.4 28
## 881 -18.40 184.84 221 4.2 18
## 882 -21.20 181.40 560 4.2 12
## 883 -12.00 166.20 94 5.0 31
## 884 -11.70 166.30 139 4.2 15
## 885 -26.72 182.69 162 5.2 64
## 886 -24.39 178.98 562 4.5 30
## 887 -19.64 169.50 204 4.6 35
## 888 -21.35 170.04 56 5.0 22
## 889 -22.82 184.52 49 5.0 52
## 890 -38.28 177.10 100 5.4 71
## 891 -12.57 167.11 231 4.8 28
## 892 -22.24 180.28 601 4.2 21
## 893 -13.80 166.53 42 5.5 70
## 894 -21.07 183.78 180 4.3 25
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## 897 -21.29 185.80 69 4.9 74
## 898 -22.20 180.58 594 4.5 45
## 899 -15.24 185.11 262 4.9 56
## 900 -17.82 181.27 538 4.0 33
## 901 -32.14 180.00 331 4.5 27
## 902 -19.30 185.86 48 5.0 40
## 903 -33.09 180.94 47 4.9 47
## 904 -20.18 181.62 558 4.5 31
## 905 -17.46 181.42 524 4.2 16
## 906 -17.44 181.33 545 4.2 37
## 907 -24.71 179.85 477 4.2 34
## 908 -21.53 170.52 129 5.2 30
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## 910 -28.05 182.39 117 5.1 43
## 911 -23.39 179.97 541 4.6 50
## 912 -22.33 171.51 112 4.6 14
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## 914 -20.27 181.51 609 4.4 32
## 915 -10.96 165.97 76 4.9 64
## 916 -21.52 169.75 61 5.1 40
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## 918 -23.08 183.45 90 4.7 30
## 919 -25.06 182.80 133 4.0 14
## 920 -17.85 181.44 589 5.6 115
## 921 -15.99 167.95 190 5.3 81
## 922 -20.56 184.41 138 5.0 82
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## 924 -18.40 181.77 600 4.1 11
## 925 -27.64 182.22 162 5.1 67
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## 927 -14.86 167.32 137 4.9 22
## 928 -29.33 182.72 57 5.4 61
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## 930 -14.10 166.01 69 4.8 29
## 931 -17.63 185.13 219 4.5 28
## 932 -23.47 180.21 553 4.2 23
## 933 -23.92 180.21 524 4.6 50
## 934 -20.88 185.18 51 4.6 28
## 935 -20.25 184.75 107 5.6 121
## 936 -19.33 186.16 44 5.4 110
## 937 -18.14 181.71 574 4.0 20
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## 939 -20.77 181.16 568 4.2 12
## 940 -17.95 181.73 583 4.7 57
## 941 -20.83 181.01 622 4.3 15
## 942 -27.84 182.10 193 4.8 27
## 943 -19.94 182.39 544 4.6 30
## 944 -23.60 183.99 118 5.4 88
## 945 -23.70 184.13 51 4.8 27
## 946 -30.39 182.40 63 4.6 22
## 947 -18.98 182.32 442 4.2 22
## 948 -27.89 182.92 87 5.5 67
## 949 -23.50 184.90 61 4.7 16
## 950 -23.73 184.49 60 4.7 35
## 951 -17.93 181.62 561 4.5 32
## 952 -35.94 178.52 138 5.5 78
## 953 -18.68 184.50 174 4.5 34
## 954 -23.47 179.95 543 4.1 21
## 955 -23.49 180.06 530 4.0 23
## 956 -23.85 180.26 497 4.3 32
## 957 -27.08 183.44 63 4.7 27
## 958 -20.88 184.95 82 4.9 50
## 959 -20.97 181.20 605 4.5 31
## 960 -21.71 183.58 234 4.7 55
## 961 -23.90 184.60 41 4.5 22
## 962 -15.78 167.44 40 4.8 42
## 963 -12.57 166.72 137 4.3 20
## 964 -19.69 184.23 223 4.1 23
## 965 -22.04 183.95 109 5.4 61
## 966 -17.99 181.59 595 4.1 26
## 967 -23.50 180.13 512 4.8 40
## 968 -21.40 180.74 613 4.2 20
## 969 -15.86 166.98 60 4.8 25
## 970 -23.95 184.64 43 5.4 45
## 971 -25.79 182.38 172 4.4 14
## 972 -23.75 184.50 54 5.2 74
## 973 -24.10 184.50 68 4.7 23
## 974 -18.56 169.05 217 4.9 35
## 975 -23.30 184.68 102 4.9 27
## 976 -17.03 185.74 178 4.2 32
## 977 -20.77 183.71 251 4.4 47
## 978 -28.10 183.50 42 4.4 17
## 979 -18.83 182.26 575 4.3 11
## 980 -23.00 170.70 43 4.9 20
## 981 -20.82 181.67 577 5.0 67
## 982 -22.95 170.56 42 4.7 21
## 983 -28.22 183.60 75 4.9 49
## 984 -27.99 183.50 71 4.3 22
## 985 -15.54 187.15 60 4.5 17
## 986 -12.37 166.93 291 4.2 16
## 987 -22.33 171.66 125 5.2 51
## 988 -22.70 170.30 69 4.8 27
## 989 -17.86 181.30 614 4.0 12
## 990 -16.00 184.53 108 4.7 33
## 991 -20.73 181.42 575 4.3 18
## 992 -15.45 181.42 409 4.3 27
## 993 -20.05 183.86 243 4.9 65
## 994 -17.95 181.37 642 4.0 17
## 995 -17.70 188.10 45 4.2 10
## 996 -25.93 179.54 470 4.4 22
## 997 -12.28 167.06 248 4.7 35
## 998 -20.13 184.20 244 4.5 34
## 999 -17.40 187.80 40 4.5 14
## 1000 -21.59 170.56 165 6.0 119## lat long depth mag stations
## 3 -26.00 184.10 42 5.4 43
## 15 -20.70 169.92 139 6.1 94
## 17 -13.64 165.96 50 6.0 83
## 25 -19.66 180.28 431 5.4 57
## 28 -16.46 180.79 498 5.2 79
## 50 -18.97 185.25 129 5.1 73
## 63 -13.82 172.38 613 5.0 61
## 68 -21.96 179.62 627 5.0 45
## 70 -15.46 187.81 40 5.5 91
## 74 -23.74 179.99 506 5.2 75
## 80 -28.98 181.11 304 5.3 60
## 81 -34.02 180.21 75 5.2 65
## 91 -15.48 167.53 128 5.1 61
## 93 -20.64 182.02 497 5.2 64
## 98 -18.16 183.41 306 5.2 54
## 99 -13.66 166.54 50 5.1 45
## 109 -22.55 185.90 42 5.7 76
## 110 -36.95 177.81 146 5.0 35
## 117 -13.66 172.23 46 5.3 67
## 126 -17.93 167.89 49 5.1 43
## 128 -26.53 178.57 600 5.0 69
## 137 -16.14 187.32 42 5.1 68
## 143 -13.23 167.10 220 5.0 46
## 149 -23.58 180.17 462 5.3 63
## 151 -23.34 184.50 56 5.7 106
## 152 -15.56 167.62 127 6.4 122
## 166 -34.20 179.43 40 5.0 37
## 167 -26.00 182.12 205 5.6 98
## 168 -19.89 183.84 244 5.3 73
## 176 -32.22 180.20 216 5.7 90
## 177 -22.64 180.64 544 5.0 50
## 191 -20.02 184.09 234 5.3 71
## 200 -17.72 180.30 595 5.2 74
## 207 -21.96 180.54 603 5.2 66
## 214 -20.47 185.68 93 5.4 85
## 229 -23.73 182.53 232 5.0 55
## 230 -22.34 171.52 106 5.0 43
## 238 -21.68 180.63 617 5.0 63
## 243 -14.70 166.00 48 5.3 16
## 245 -16.65 185.51 218 5.0 52
## 249 -23.36 180.01 553 5.3 61
## 253 -17.80 181.38 587 5.1 47
## 261 -19.02 184.23 270 5.1 72
## 275 -22.13 180.38 577 5.7 104
## 277 -23.33 180.18 528 5.0 59
## 280 -19.13 182.51 579 5.2 56
## 290 -20.60 182.28 529 5.0 50
## 291 -18.48 181.49 641 5.0 49
## 295 -15.24 186.21 158 5.0 57
## 296 -16.40 185.86 148 5.0 47
## 297 -24.57 178.40 562 5.6 80
## 312 -12.93 169.63 641 5.1 57
## 313 -18.60 181.91 442 5.4 82
## 318 -18.77 169.24 218 5.3 53
## 322 -21.79 183.48 210 5.2 69
## 330 -11.41 166.24 83 5.3 55
## 331 -19.10 183.87 61 5.3 42
## 334 -12.25 166.60 219 5.0 28
## 335 -23.49 179.07 544 5.1 58
## 338 -27.19 182.18 69 5.4 68
## 349 -21.54 185.48 51 5.0 29
## 354 -30.17 182.02 56 5.5 68
## 356 -17.79 181.32 587 5.0 49
## 357 -22.19 171.40 150 5.1 49
## 358 -17.10 182.68 403 5.5 82
## 363 -21.98 179.60 583 5.4 67
## 367 -20.43 182.37 502 5.1 48
## 371 -23.73 179.99 527 5.1 49
## 372 -19.89 184.08 219 5.4 105
## 373 -17.59 181.09 536 5.1 61
## 374 -19.77 181.40 630 5.1 54
## 376 -15.33 186.75 48 5.7 123
## 378 -15.36 186.66 112 5.1 57
## 380 -15.36 186.71 130 5.5 95
## 381 -16.24 167.95 188 5.1 68
## 383 -25.50 182.82 124 5.0 25
## 384 -14.32 167.33 204 5.0 49
## 385 -20.04 182.01 605 5.1 49
## 386 -28.83 181.66 221 5.1 63
## 397 -17.72 181.42 565 5.3 89
## 398 -15.87 188.13 52 5.0 30
## 399 -17.84 181.30 535 5.7 112
## 400 -13.45 170.30 641 5.3 93
## 404 -26.18 178.59 548 5.4 65
## 416 -14.28 167.26 211 5.1 51
## 424 -22.10 179.71 579 5.1 58
## 445 -22.55 183.81 82 5.1 68
## 448 -20.85 181.59 499 5.1 91
## 449 -21.11 181.50 538 5.5 104
## 459 -23.53 179.99 538 5.4 87
## 462 -18.00 180.62 636 5.0 100
## 463 -18.08 180.70 628 5.2 72
## 465 -29.90 181.16 215 5.1 51
## 474 -10.79 166.06 142 5.0 40
## 477 -37.93 177.47 65 5.4 65
## 486 -23.58 183.40 94 5.2 79
## 496 -22.54 172.91 54 5.5 71
## 512 -20.90 184.28 58 5.5 92
## 525 -32.45 181.15 41 5.5 81
## 528 -13.26 167.01 213 5.1 70
## 531 -15.77 167.01 64 5.5 73
## 539 -15.95 167.34 47 5.4 87
## 541 -15.90 167.42 40 5.5 86
## 547 -11.54 166.18 89 5.4 80
## 549 -15.61 187.15 49 5.0 30
## 558 -22.91 183.95 64 5.9 118
## 564 -21.92 182.80 273 5.3 78
## 568 -17.71 181.18 574 5.2 67
## 570 -34.68 179.82 75 5.6 79
## 571 -14.46 167.26 195 5.2 87
## 574 -20.41 186.51 63 5.0 28
## 579 -18.51 182.64 405 5.2 74
## 580 -27.28 183.40 70 5.1 54
## 583 -11.25 166.36 130 5.1 55
## 590 -23.31 179.27 566 5.1 49
## 601 -27.98 181.96 53 5.2 89
## 605 -19.89 174.46 546 5.7 99
## 615 -15.65 186.26 64 5.1 54
## 618 -20.06 168.69 49 5.1 49
## 623 -24.18 179.02 550 5.3 86
## 624 -23.78 180.31 518 5.1 71
## 629 -22.87 172.65 56 5.1 50
## 636 -18.82 182.21 417 5.6 129
## 638 -12.05 167.39 332 5.0 36
## 643 -28.15 183.40 57 5.0 32
## 649 -37.03 177.52 153 5.6 87
## 651 -18.12 181.88 649 5.4 88
## 653 -11.40 166.07 93 5.6 94
## 657 -17.59 180.98 548 5.1 79
## 663 -18.14 180.87 624 5.5 105
## 664 -23.46 180.11 539 5.0 41
## 666 -18.21 180.87 631 5.2 69
## 675 -15.34 167.10 128 5.3 18
## 681 -18.92 169.37 248 5.3 60
## 689 -20.93 181.54 564 5.0 64
## 692 -18.80 182.41 385 5.2 67
## 697 -18.07 181.58 603 5.0 65
## 700 -18.04 181.57 587 5.0 51
## 702 -17.64 177.01 545 5.2 91
## 703 -17.98 181.51 586 5.2 68
## 708 -17.74 186.78 104 5.1 71
## 712 -15.93 167.91 183 5.6 109
## 714 -21.44 170.45 166 5.1 22
## 724 -26.50 178.29 609 5.0 50
## 742 -19.02 186.83 45 5.2 65
## 745 -19.30 183.00 302 5.0 65
## 746 -31.03 181.59 57 5.2 49
## 752 -21.29 185.77 57 5.3 69
## 753 -21.08 180.85 627 5.9 119
## 757 -17.10 185.90 127 5.4 75
## 758 -21.13 185.60 85 5.3 86
## 759 -12.34 167.43 50 5.1 47
## 764 -21.57 183.86 156 5.1 70
## 765 -13.70 166.75 46 5.3 71
## 771 -20.24 185.10 86 5.1 61
## 783 -24.04 184.85 70 5.0 48
## 785 -15.00 184.62 40 5.1 54
## 787 -14.12 166.64 63 5.3 69
## 788 -23.61 180.27 537 5.0 63
## 790 -21.19 181.58 490 5.0 77
## 801 -23.80 184.70 42 5.0 36
## 812 -19.34 186.59 56 5.2 49
## 839 -20.89 185.26 54 5.1 44
## 840 -18.97 169.44 242 5.0 41
## 843 -25.42 182.65 102 5.0 36
## 844 -21.60 169.90 43 5.2 56
## 849 -22.23 180.48 581 5.0 54
## 850 -21.55 181.39 513 5.1 81
## 853 -15.18 167.23 71 5.2 59
## 869 -21.14 174.21 40 5.7 78
## 870 -12.23 167.02 242 6.0 132
## 883 -12.00 166.20 94 5.0 31
## 885 -26.72 182.69 162 5.2 64
## 888 -21.35 170.04 56 5.0 22
## 889 -22.82 184.52 49 5.0 52
## 890 -38.28 177.10 100 5.4 71
## 893 -13.80 166.53 42 5.5 70
## 902 -19.30 185.86 48 5.0 40
## 908 -21.53 170.52 129 5.2 30
## 910 -28.05 182.39 117 5.1 43
## 916 -21.52 169.75 61 5.1 40
## 920 -17.85 181.44 589 5.6 115
## 921 -15.99 167.95 190 5.3 81
## 922 -20.56 184.41 138 5.0 82
## 925 -27.64 182.22 162 5.1 67
## 928 -29.33 182.72 57 5.4 61
## 935 -20.25 184.75 107 5.6 121
## 936 -19.33 186.16 44 5.4 110
## 938 -22.41 183.99 128 5.2 72
## 944 -23.60 183.99 118 5.4 88
## 948 -27.89 182.92 87 5.5 67
## 952 -35.94 178.52 138 5.5 78
## 965 -22.04 183.95 109 5.4 61
## 970 -23.95 184.64 43 5.4 45
## 972 -23.75 184.50 54 5.2 74
## 981 -20.82 181.67 577 5.0 67
## 987 -22.33 171.66 125 5.2 51
## 1000 -21.59 170.56 165 6.0 119write.table(q5,file="/Users/USER/Downloads/q5.txt",
sep="!",row.names=FALSE)
q5.dframe <- read.table("/Users/USER/Downloads/q5.txt",sep="!",header=TRUE)
q5.dframe## lat long depth mag stations
## 1 -26.00 184.10 42 5.4 43
## 2 -20.70 169.92 139 6.1 94
## 3 -13.64 165.96 50 6.0 83
## 4 -19.66 180.28 431 5.4 57
## 5 -16.46 180.79 498 5.2 79
## 6 -18.97 185.25 129 5.1 73
## 7 -13.82 172.38 613 5.0 61
## 8 -21.96 179.62 627 5.0 45
## 9 -15.46 187.81 40 5.5 91
## 10 -23.74 179.99 506 5.2 75
## 11 -28.98 181.11 304 5.3 60
## 12 -34.02 180.21 75 5.2 65
## 13 -15.48 167.53 128 5.1 61
## 14 -20.64 182.02 497 5.2 64
## 15 -18.16 183.41 306 5.2 54
## 16 -13.66 166.54 50 5.1 45
## 17 -22.55 185.90 42 5.7 76
## 18 -36.95 177.81 146 5.0 35
## 19 -13.66 172.23 46 5.3 67
## 20 -17.93 167.89 49 5.1 43
## 21 -26.53 178.57 600 5.0 69
## 22 -16.14 187.32 42 5.1 68
## 23 -13.23 167.10 220 5.0 46
## 24 -23.58 180.17 462 5.3 63
## 25 -23.34 184.50 56 5.7 106
## 26 -15.56 167.62 127 6.4 122
## 27 -34.20 179.43 40 5.0 37
## 28 -26.00 182.12 205 5.6 98
## 29 -19.89 183.84 244 5.3 73
## 30 -32.22 180.20 216 5.7 90
## 31 -22.64 180.64 544 5.0 50
## 32 -20.02 184.09 234 5.3 71
## 33 -17.72 180.30 595 5.2 74
## 34 -21.96 180.54 603 5.2 66
## 35 -20.47 185.68 93 5.4 85
## 36 -23.73 182.53 232 5.0 55
## 37 -22.34 171.52 106 5.0 43
## 38 -21.68 180.63 617 5.0 63
## 39 -14.70 166.00 48 5.3 16
## 40 -16.65 185.51 218 5.0 52
## 41 -23.36 180.01 553 5.3 61
## 42 -17.80 181.38 587 5.1 47
## 43 -19.02 184.23 270 5.1 72
## 44 -22.13 180.38 577 5.7 104
## 45 -23.33 180.18 528 5.0 59
## 46 -19.13 182.51 579 5.2 56
## 47 -20.60 182.28 529 5.0 50
## 48 -18.48 181.49 641 5.0 49
## 49 -15.24 186.21 158 5.0 57
## 50 -16.40 185.86 148 5.0 47
## 51 -24.57 178.40 562 5.6 80
## 52 -12.93 169.63 641 5.1 57
## 53 -18.60 181.91 442 5.4 82
## 54 -18.77 169.24 218 5.3 53
## 55 -21.79 183.48 210 5.2 69
## 56 -11.41 166.24 83 5.3 55
## 57 -19.10 183.87 61 5.3 42
## 58 -12.25 166.60 219 5.0 28
## 59 -23.49 179.07 544 5.1 58
## 60 -27.19 182.18 69 5.4 68
## 61 -21.54 185.48 51 5.0 29
## 62 -30.17 182.02 56 5.5 68
## 63 -17.79 181.32 587 5.0 49
## 64 -22.19 171.40 150 5.1 49
## 65 -17.10 182.68 403 5.5 82
## 66 -21.98 179.60 583 5.4 67
## 67 -20.43 182.37 502 5.1 48
## 68 -23.73 179.99 527 5.1 49
## 69 -19.89 184.08 219 5.4 105
## 70 -17.59 181.09 536 5.1 61
## 71 -19.77 181.40 630 5.1 54
## 72 -15.33 186.75 48 5.7 123
## 73 -15.36 186.66 112 5.1 57
## 74 -15.36 186.71 130 5.5 95
## 75 -16.24 167.95 188 5.1 68
## 76 -25.50 182.82 124 5.0 25
## 77 -14.32 167.33 204 5.0 49
## 78 -20.04 182.01 605 5.1 49
## 79 -28.83 181.66 221 5.1 63
## 80 -17.72 181.42 565 5.3 89
## 81 -15.87 188.13 52 5.0 30
## 82 -17.84 181.30 535 5.7 112
## 83 -13.45 170.30 641 5.3 93
## 84 -26.18 178.59 548 5.4 65
## 85 -14.28 167.26 211 5.1 51
## 86 -22.10 179.71 579 5.1 58
## 87 -22.55 183.81 82 5.1 68
## 88 -20.85 181.59 499 5.1 91
## 89 -21.11 181.50 538 5.5 104
## 90 -23.53 179.99 538 5.4 87
## 91 -18.00 180.62 636 5.0 100
## 92 -18.08 180.70 628 5.2 72
## 93 -29.90 181.16 215 5.1 51
## 94 -10.79 166.06 142 5.0 40
## 95 -37.93 177.47 65 5.4 65
## 96 -23.58 183.40 94 5.2 79
## 97 -22.54 172.91 54 5.5 71
## 98 -20.90 184.28 58 5.5 92
## 99 -32.45 181.15 41 5.5 81
## 100 -13.26 167.01 213 5.1 70
## 101 -15.77 167.01 64 5.5 73
## 102 -15.95 167.34 47 5.4 87
## 103 -15.90 167.42 40 5.5 86
## 104 -11.54 166.18 89 5.4 80
## 105 -15.61 187.15 49 5.0 30
## 106 -22.91 183.95 64 5.9 118
## 107 -21.92 182.80 273 5.3 78
## 108 -17.71 181.18 574 5.2 67
## 109 -34.68 179.82 75 5.6 79
## 110 -14.46 167.26 195 5.2 87
## 111 -20.41 186.51 63 5.0 28
## 112 -18.51 182.64 405 5.2 74
## 113 -27.28 183.40 70 5.1 54
## 114 -11.25 166.36 130 5.1 55
## 115 -23.31 179.27 566 5.1 49
## 116 -27.98 181.96 53 5.2 89
## 117 -19.89 174.46 546 5.7 99
## 118 -15.65 186.26 64 5.1 54
## 119 -20.06 168.69 49 5.1 49
## 120 -24.18 179.02 550 5.3 86
## 121 -23.78 180.31 518 5.1 71
## 122 -22.87 172.65 56 5.1 50
## 123 -18.82 182.21 417 5.6 129
## 124 -12.05 167.39 332 5.0 36
## 125 -28.15 183.40 57 5.0 32
## 126 -37.03 177.52 153 5.6 87
## 127 -18.12 181.88 649 5.4 88
## 128 -11.40 166.07 93 5.6 94
## 129 -17.59 180.98 548 5.1 79
## 130 -18.14 180.87 624 5.5 105
## 131 -23.46 180.11 539 5.0 41
## 132 -18.21 180.87 631 5.2 69
## 133 -15.34 167.10 128 5.3 18
## 134 -18.92 169.37 248 5.3 60
## 135 -20.93 181.54 564 5.0 64
## 136 -18.80 182.41 385 5.2 67
## 137 -18.07 181.58 603 5.0 65
## 138 -18.04 181.57 587 5.0 51
## 139 -17.64 177.01 545 5.2 91
## 140 -17.98 181.51 586 5.2 68
## 141 -17.74 186.78 104 5.1 71
## 142 -15.93 167.91 183 5.6 109
## 143 -21.44 170.45 166 5.1 22
## 144 -26.50 178.29 609 5.0 50
## 145 -19.02 186.83 45 5.2 65
## 146 -19.30 183.00 302 5.0 65
## 147 -31.03 181.59 57 5.2 49
## 148 -21.29 185.77 57 5.3 69
## 149 -21.08 180.85 627 5.9 119
## 150 -17.10 185.90 127 5.4 75
## 151 -21.13 185.60 85 5.3 86
## 152 -12.34 167.43 50 5.1 47
## 153 -21.57 183.86 156 5.1 70
## 154 -13.70 166.75 46 5.3 71
## 155 -20.24 185.10 86 5.1 61
## 156 -24.04 184.85 70 5.0 48
## 157 -15.00 184.62 40 5.1 54
## 158 -14.12 166.64 63 5.3 69
## 159 -23.61 180.27 537 5.0 63
## 160 -21.19 181.58 490 5.0 77
## 161 -23.80 184.70 42 5.0 36
## 162 -19.34 186.59 56 5.2 49
## 163 -20.89 185.26 54 5.1 44
## 164 -18.97 169.44 242 5.0 41
## 165 -25.42 182.65 102 5.0 36
## 166 -21.60 169.90 43 5.2 56
## 167 -22.23 180.48 581 5.0 54
## 168 -21.55 181.39 513 5.1 81
## 169 -15.18 167.23 71 5.2 59
## 170 -21.14 174.21 40 5.7 78
## 171 -12.23 167.02 242 6.0 132
## 172 -12.00 166.20 94 5.0 31
## 173 -26.72 182.69 162 5.2 64
## 174 -21.35 170.04 56 5.0 22
## 175 -22.82 184.52 49 5.0 52
## 176 -38.28 177.10 100 5.4 71
## 177 -13.80 166.53 42 5.5 70
## 178 -19.30 185.86 48 5.0 40
## 179 -21.53 170.52 129 5.2 30
## 180 -28.05 182.39 117 5.1 43
## 181 -21.52 169.75 61 5.1 40
## 182 -17.85 181.44 589 5.6 115
## 183 -15.99 167.95 190 5.3 81
## 184 -20.56 184.41 138 5.0 82
## 185 -27.64 182.22 162 5.1 67
## 186 -29.33 182.72 57 5.4 61
## 187 -20.25 184.75 107 5.6 121
## 188 -19.33 186.16 44 5.4 110
## 189 -22.41 183.99 128 5.2 72
## 190 -23.60 183.99 118 5.4 88
## 191 -27.89 182.92 87 5.5 67
## 192 -35.94 178.52 138 5.5 78
## 193 -22.04 183.95 109 5.4 61
## 194 -23.95 184.64 43 5.4 45
## 195 -23.75 184.50 54 5.2 74
## 196 -20.82 181.67 577 5.0 67
## 197 -22.33 171.66 125 5.2 51
## 198 -21.59 170.56 165 6.0 119## Warning: package 'car' was built under R version 4.5.1## Loading required package: carData## Warning: package 'carData' was built under R version 4.5.1## type income education prestige
## accountant prof 62 86 82
## pilot prof 72 76 83
## architect prof 75 92 90
## author prof 55 90 76
## chemist prof 64 86 90
## minister prof 21 84 87
## professor prof 64 93 93
## dentist prof 80 100 90
## reporter wc 67 87 52
## engineer prof 72 86 88
## undertaker prof 42 74 57
## lawyer prof 76 98 89
## physician prof 76 97 97
## welfare.worker prof 41 84 59
## teacher prof 48 91 73
## conductor wc 76 34 38
## contractor prof 53 45 76
## factory.owner prof 60 56 81
## store.manager prof 42 44 45
## banker prof 78 82 92
## bookkeeper wc 29 72 39
## mail.carrier wc 48 55 34
## insurance.agent wc 55 71 41
## store.clerk wc 29 50 16
## carpenter bc 21 23 33
## electrician bc 47 39 53
## RR.engineer bc 81 28 67
## machinist bc 36 32 57
## auto.repairman bc 22 22 26
## plumber bc 44 25 29
## gas.stn.attendant bc 15 29 10
## coal.miner bc 7 7 15
## streetcar.motorman bc 42 26 19
## taxi.driver bc 9 19 10
## truck.driver bc 21 15 13
## machine.operator bc 21 20 24
## barber bc 16 26 20
## bartender bc 16 28 7
## shoe.shiner bc 9 17 3
## cook bc 14 22 16
## soda.clerk bc 12 30 6
## watchman bc 17 25 11
## janitor bc 7 20 8
## policeman bc 34 47 41
## waiter bc 8 32 10## starting httpd help server ...## done## type income education prestige
## accountant prof 62 86 82
## pilot prof 72 76 83
## architect prof 75 92 90
## author prof 55 90 76
## chemist prof 64 86 90
## minister prof 21 84 87## [1] 86 76 92 90 86 84 93 100 87 86 74 98 97 84 91 34 45 56 44
## [20] 82 72 55 71 50 23 39 28 32 22 25 29 7 26 19 15 20 26 28
## [39] 17 22 30 25 20 47 32## [1] 62 72 75 55 64 21 64 80 67 72 42 76 76 41 48 76 53 60 42 78 29 48 55 29 21
## [26] 47 81 36 22 44 15 7 42 9 21 21 16 16 9 14 12 17 7 34 8plot(Duncan$education,Duncan$income,
xlim=c(0,100),ylim=c(0,100),
xlab="Education",ylab="Income",pch=16)
point_col <- ifelse(Duncan$prestige <= 80, "black", "blue")
plot(Duncan$education,Duncan$prestige,
xlim=c(0,100),ylim=c(0,100),
xlab="Education",ylab="prestige",
col=point_col,pch=16)
# ii
legend("topleft",legend=c("presrige<=80","prestige>80"),col=c("black","blue"),pch=16)
png(file="/Users/USER/Downloads/the_car_plot.png",width=500,height=500)
#c
exer <- list(quakes,q5.dframe,Duncan)
exer## [[1]]
## lat long depth mag stations
## 1 -20.42 181.62 562 4.8 41
## 2 -20.62 181.03 650 4.2 15
## 3 -26.00 184.10 42 5.4 43
## 4 -17.97 181.66 626 4.1 19
## 5 -20.42 181.96 649 4.0 11
## 6 -19.68 184.31 195 4.0 12
## 7 -11.70 166.10 82 4.8 43
## 8 -28.11 181.93 194 4.4 15
## 9 -28.74 181.74 211 4.7 35
## 10 -17.47 179.59 622 4.3 19
## 11 -21.44 180.69 583 4.4 13
## 12 -12.26 167.00 249 4.6 16
## 13 -18.54 182.11 554 4.4 19
## 14 -21.00 181.66 600 4.4 10
## 15 -20.70 169.92 139 6.1 94
## 16 -15.94 184.95 306 4.3 11
## 17 -13.64 165.96 50 6.0 83
## 18 -17.83 181.50 590 4.5 21
## 19 -23.50 179.78 570 4.4 13
## 20 -22.63 180.31 598 4.4 18
## 21 -20.84 181.16 576 4.5 17
## 22 -10.98 166.32 211 4.2 12
## 23 -23.30 180.16 512 4.4 18
## 24 -30.20 182.00 125 4.7 22
## 25 -19.66 180.28 431 5.4 57
## 26 -17.94 181.49 537 4.0 15
## 27 -14.72 167.51 155 4.6 18
## 28 -16.46 180.79 498 5.2 79
## 29 -20.97 181.47 582 4.5 25
## 30 -19.84 182.37 328 4.4 17
## 31 -22.58 179.24 553 4.6 21
## 32 -16.32 166.74 50 4.7 30
## 33 -15.55 185.05 292 4.8 42
## 34 -23.55 180.80 349 4.0 10
## 35 -16.30 186.00 48 4.5 10
## 36 -25.82 179.33 600 4.3 13
## 37 -18.73 169.23 206 4.5 17
## 38 -17.64 181.28 574 4.6 17
## 39 -17.66 181.40 585 4.1 17
## 40 -18.82 169.33 230 4.4 11
## 41 -37.37 176.78 263 4.7 34
## 42 -15.31 186.10 96 4.6 32
## 43 -24.97 179.82 511 4.4 23
## 44 -15.49 186.04 94 4.3 26
## 45 -19.23 169.41 246 4.6 27
## 46 -30.10 182.30 56 4.9 34
## 47 -26.40 181.70 329 4.5 24
## 48 -11.77 166.32 70 4.4 18
## 49 -24.12 180.08 493 4.3 21
## 50 -18.97 185.25 129 5.1 73
## 51 -18.75 182.35 554 4.2 13
## 52 -19.26 184.42 223 4.0 15
## 53 -22.75 173.20 46 4.6 26
## 54 -21.37 180.67 593 4.3 13
## 55 -20.10 182.16 489 4.2 16
## 56 -19.85 182.13 562 4.4 31
## 57 -22.70 181.00 445 4.5 17
## 58 -22.06 180.60 584 4.0 11
## 59 -17.80 181.35 535 4.4 23
## 60 -24.20 179.20 530 4.3 12
## 61 -20.69 181.55 582 4.7 35
## 62 -21.16 182.40 260 4.1 12
## 63 -13.82 172.38 613 5.0 61
## 64 -11.49 166.22 84 4.6 32
## 65 -20.68 181.41 593 4.9 40
## 66 -17.10 184.93 286 4.7 25
## 67 -20.14 181.60 587 4.1 13
## 68 -21.96 179.62 627 5.0 45
## 69 -20.42 181.86 530 4.5 27
## 70 -15.46 187.81 40 5.5 91
## 71 -15.31 185.80 152 4.0 11
## 72 -19.86 184.35 201 4.5 30
## 73 -11.55 166.20 96 4.3 14
## 74 -23.74 179.99 506 5.2 75
## 75 -17.70 181.23 546 4.4 35
## 76 -23.54 180.04 564 4.3 15
## 77 -19.21 184.70 197 4.1 11
## 78 -12.11 167.06 265 4.5 23
## 79 -21.81 181.71 323 4.2 15
## 80 -28.98 181.11 304 5.3 60
## 81 -34.02 180.21 75 5.2 65
## 82 -23.84 180.99 367 4.5 27
## 83 -19.57 182.38 579 4.6 38
## 84 -20.12 183.40 284 4.3 15
## 85 -17.70 181.70 450 4.0 11
## 86 -19.66 184.31 170 4.3 15
## 87 -21.50 170.50 117 4.7 32
## 88 -23.64 179.96 538 4.5 26
## 89 -15.43 186.30 123 4.2 16
## 90 -15.41 186.44 69 4.3 42
## 91 -15.48 167.53 128 5.1 61
## 92 -13.36 167.06 236 4.7 22
## 93 -20.64 182.02 497 5.2 64
## 94 -19.72 169.71 271 4.2 14
## 95 -15.44 185.26 224 4.2 21
## 96 -19.73 182.40 375 4.0 18
## 97 -27.24 181.11 365 4.5 21
## 98 -18.16 183.41 306 5.2 54
## 99 -13.66 166.54 50 5.1 45
## 100 -24.57 179.92 484 4.7 33
## 101 -16.98 185.61 108 4.1 12
## 102 -26.20 178.41 583 4.6 25
## 103 -21.88 180.39 608 4.7 30
## 104 -33.00 181.60 72 4.7 22
## 105 -21.33 180.69 636 4.6 29
## 106 -19.44 183.50 293 4.2 15
## 107 -34.89 180.60 42 4.4 25
## 108 -20.24 169.49 100 4.6 22
## 109 -22.55 185.90 42 5.7 76
## 110 -36.95 177.81 146 5.0 35
## 111 -15.75 185.23 280 4.5 28
## 112 -16.85 182.31 388 4.2 14
## 113 -19.06 182.45 477 4.0 16
## 114 -26.11 178.30 617 4.8 39
## 115 -26.20 178.35 606 4.4 21
## 116 -26.13 178.31 609 4.2 25
## 117 -13.66 172.23 46 5.3 67
## 118 -13.47 172.29 64 4.7 14
## 119 -14.60 167.40 178 4.8 52
## 120 -18.96 169.48 248 4.2 13
## 121 -14.65 166.97 82 4.8 28
## 122 -19.90 178.90 81 4.3 11
## 123 -22.05 180.40 606 4.7 27
## 124 -19.22 182.43 571 4.5 23
## 125 -31.24 180.60 328 4.4 18
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## 633 -28.56 183.59 53 4.4 20
## 634 -21.30 180.92 617 4.5 26
## 635 -20.08 183.22 294 4.3 18
## 636 -18.82 182.21 417 5.6 129
## 637 -19.51 183.97 280 4.0 16
## 638 -12.05 167.39 332 5.0 36
## 639 -17.40 186.54 85 4.2 28
## 640 -23.93 180.18 525 4.6 31
## 641 -21.23 181.09 613 4.6 18
## 642 -16.23 167.91 182 4.5 28
## 643 -28.15 183.40 57 5.0 32
## 644 -20.81 185.01 79 4.7 42
## 645 -20.72 181.41 595 4.6 36
## 646 -23.29 184.00 164 4.8 50
## 647 -38.46 176.03 148 4.6 44
## 648 -15.48 186.73 82 4.4 17
## 649 -37.03 177.52 153 5.6 87
## 650 -20.48 181.38 556 4.2 13
## 651 -18.12 181.88 649 5.4 88
## 652 -18.17 181.98 651 4.8 43
## 653 -11.40 166.07 93 5.6 94
## 654 -23.10 180.12 533 4.4 27
## 655 -14.28 170.34 642 4.7 29
## 656 -22.87 171.72 47 4.6 27
## 657 -17.59 180.98 548 5.1 79
## 658 -27.60 182.10 154 4.6 22
## 659 -17.94 180.60 627 4.5 29
## 660 -17.88 180.58 622 4.2 23
## 661 -30.01 180.80 286 4.8 43
## 662 -19.19 182.30 390 4.9 48
## 663 -18.14 180.87 624 5.5 105
## 664 -23.46 180.11 539 5.0 41
## 665 -18.44 181.04 624 4.2 21
## 666 -18.21 180.87 631 5.2 69
## 667 -18.26 180.98 631 4.8 36
## 668 -15.85 184.83 299 4.4 30
## 669 -23.82 180.09 498 4.8 40
## 670 -18.60 184.28 255 4.4 31
## 671 -17.80 181.32 539 4.1 12
## 672 -10.78 166.10 195 4.9 45
## 673 -18.12 181.71 594 4.6 24
## 674 -19.34 182.62 573 4.5 32
## 675 -15.34 167.10 128 5.3 18
## 676 -24.97 182.85 137 4.8 40
## 677 -15.97 186.08 143 4.6 41
## 678 -23.47 180.24 511 4.8 37
## 679 -23.11 179.15 564 4.7 17
## 680 -20.54 181.66 559 4.9 50
## 681 -18.92 169.37 248 5.3 60
## 682 -20.16 184.27 210 4.4 27
## 683 -25.48 180.94 390 4.6 33
## 684 -18.19 181.74 616 4.3 17
## 685 -15.35 186.40 98 4.4 17
## 686 -18.69 169.10 218 4.2 27
## 687 -18.89 181.24 655 4.1 14
## 688 -17.61 183.32 356 4.2 15
## 689 -20.93 181.54 564 5.0 64
## 690 -17.60 181.50 548 4.1 10
## 691 -17.96 181.40 655 4.3 20
## 692 -18.80 182.41 385 5.2 67
## 693 -20.61 182.44 518 4.2 10
## 694 -20.74 181.53 598 4.5 36
## 695 -25.23 179.86 476 4.4 29
## 696 -23.90 179.90 579 4.4 16
## 697 -18.07 181.58 603 5.0 65
## 698 -15.43 185.19 249 4.0 11
## 699 -14.30 167.32 208 4.8 25
## 700 -18.04 181.57 587 5.0 51
## 701 -13.90 167.18 221 4.2 21
## 702 -17.64 177.01 545 5.2 91
## 703 -17.98 181.51 586 5.2 68
## 704 -25.00 180.00 488 4.5 10
## 705 -19.45 184.48 246 4.3 15
## 706 -16.11 187.48 61 4.5 19
## 707 -23.73 179.98 524 4.6 11
## 708 -17.74 186.78 104 5.1 71
## 709 -21.56 183.23 271 4.4 36
## 710 -20.97 181.72 487 4.3 16
## 711 -15.45 186.73 83 4.7 37
## 712 -15.93 167.91 183 5.6 109
## 713 -21.47 185.86 55 4.9 46
## 714 -21.44 170.45 166 5.1 22
## 715 -22.16 180.49 586 4.6 13
## 716 -13.36 172.76 618 4.4 18
## 717 -21.22 181.51 524 4.8 49
## 718 -26.10 182.50 133 4.2 17
## 719 -18.35 185.27 201 4.7 57
## 720 -17.20 182.90 383 4.1 11
## 721 -22.42 171.40 86 4.7 33
## 722 -17.91 181.48 555 4.0 17
## 723 -26.53 178.30 605 4.9 43
## 724 -26.50 178.29 609 5.0 50
## 725 -16.31 168.08 204 4.5 16
## 726 -18.76 169.71 287 4.4 23
## 727 -17.10 182.80 390 4.0 14
## 728 -19.28 182.78 348 4.5 30
## 729 -23.50 180.00 550 4.7 23
## 730 -21.26 181.69 487 4.4 20
## 731 -17.97 181.48 578 4.7 43
## 732 -26.02 181.20 361 4.7 32
## 733 -30.30 180.80 275 4.0 14
## 734 -24.89 179.67 498 4.2 14
## 735 -14.57 167.24 162 4.5 18
## 736 -15.40 186.87 78 4.7 44
## 737 -22.06 183.95 134 4.5 17
## 738 -25.14 178.42 554 4.1 15
## 739 -20.30 181.40 608 4.6 13
## 740 -25.28 181.17 367 4.3 25
## 741 -20.63 181.61 599 4.6 30
## 742 -19.02 186.83 45 5.2 65
## 743 -22.10 185.30 50 4.6 22
## 744 -38.59 175.70 162 4.7 36
## 745 -19.30 183.00 302 5.0 65
## 746 -31.03 181.59 57 5.2 49
## 747 -30.51 181.30 203 4.4 20
## 748 -22.55 183.34 66 4.6 18
## 749 -22.14 180.64 591 4.5 18
## 750 -25.60 180.30 440 4.0 12
## 751 -18.04 181.84 611 4.2 20
## 752 -21.29 185.77 57 5.3 69
## 753 -21.08 180.85 627 5.9 119
## 754 -20.64 169.66 89 4.9 42
## 755 -24.41 180.03 500 4.5 34
## 756 -12.16 167.03 264 4.4 14
## 757 -17.10 185.90 127 5.4 75
## 758 -21.13 185.60 85 5.3 86
## 759 -12.34 167.43 50 5.1 47
## 760 -16.43 186.73 75 4.1 20
## 761 -20.70 184.30 182 4.3 17
## 762 -21.18 180.92 619 4.5 18
## 763 -17.78 185.33 223 4.1 10
## 764 -21.57 183.86 156 5.1 70
## 765 -13.70 166.75 46 5.3 71
## 766 -12.27 167.41 50 4.5 29
## 767 -19.10 184.52 230 4.1 16
## 768 -19.85 184.51 184 4.4 26
## 769 -11.37 166.55 188 4.7 24
## 770 -20.70 186.30 80 4.0 10
## 771 -20.24 185.10 86 5.1 61
## 772 -16.40 182.73 391 4.0 16
## 773 -19.60 184.53 199 4.3 21
## 774 -21.63 180.77 592 4.3 21
## 775 -21.60 180.50 595 4.0 22
## 776 -21.77 181.00 618 4.1 10
## 777 -21.80 183.60 213 4.4 17
## 778 -21.05 180.90 616 4.3 10
## 779 -10.80 165.80 175 4.2 12
## 780 -17.90 181.50 589 4.0 12
## 781 -22.26 171.44 83 4.5 25
## 782 -22.33 171.46 119 4.7 32
## 783 -24.04 184.85 70 5.0 48
## 784 -20.40 186.10 74 4.3 22
## 785 -15.00 184.62 40 5.1 54
## 786 -27.87 183.40 87 4.7 34
## 787 -14.12 166.64 63 5.3 69
## 788 -23.61 180.27 537 5.0 63
## 789 -21.56 185.50 47 4.5 29
## 790 -21.19 181.58 490 5.0 77
## 791 -18.07 181.65 593 4.1 16
## 792 -26.00 178.43 644 4.9 27
## 793 -20.21 181.90 576 4.1 16
## 794 -28.00 182.00 199 4.0 16
## 795 -20.74 180.70 589 4.4 27
## 796 -31.80 180.60 178 4.5 19
## 797 -18.91 169.46 248 4.4 33
## 798 -20.45 182.10 500 4.5 37
## 799 -22.90 183.80 71 4.3 19
## 800 -18.11 181.63 568 4.3 36
## 801 -23.80 184.70 42 5.0 36
## 802 -23.42 180.21 510 4.5 37
## 803 -23.20 184.80 97 4.5 13
## 804 -12.93 169.52 663 4.4 30
## 805 -21.14 181.06 625 4.5 35
## 806 -19.13 184.97 210 4.1 22
## 807 -21.08 181.30 557 4.9 78
## 808 -20.07 181.75 582 4.7 27
## 809 -20.90 182.02 402 4.3 18
## 810 -25.04 179.84 474 4.6 32
## 811 -21.85 180.89 577 4.6 43
## 812 -19.34 186.59 56 5.2 49
## 813 -15.83 167.10 43 4.5 19
## 814 -23.73 183.00 118 4.3 11
## 815 -18.10 181.72 544 4.6 52
## 816 -22.12 180.49 532 4.0 14
## 817 -15.39 185.10 237 4.5 39
## 818 -16.21 186.52 111 4.8 30
## 819 -21.75 180.67 595 4.6 30
## 820 -22.10 180.40 603 4.1 11
## 821 -24.97 179.54 505 4.9 50
## 822 -19.36 186.36 100 4.7 40
## 823 -22.14 179.62 587 4.1 23
## 824 -21.48 182.44 364 4.3 20
## 825 -18.54 168.93 100 4.4 17
## 826 -21.62 182.40 350 4.0 12
## 827 -13.40 166.90 228 4.8 15
## 828 -15.50 185.30 93 4.4 25
## 829 -15.67 185.23 66 4.4 34
## 830 -21.78 183.11 225 4.6 21
## 831 -30.63 180.90 334 4.2 28
## 832 -15.70 185.10 70 4.1 15
## 833 -19.20 184.37 220 4.2 18
## 834 -19.70 182.44 397 4.0 12
## 835 -19.40 182.29 326 4.1 15
## 836 -15.85 185.90 121 4.1 17
## 837 -17.38 168.63 209 4.7 29
## 838 -24.33 179.97 510 4.8 44
## 839 -20.89 185.26 54 5.1 44
## 840 -18.97 169.44 242 5.0 41
## 841 -17.99 181.62 574 4.8 38
## 842 -15.80 185.25 82 4.4 39
## 843 -25.42 182.65 102 5.0 36
## 844 -21.60 169.90 43 5.2 56
## 845 -26.06 180.05 432 4.2 19
## 846 -17.56 181.23 580 4.1 16
## 847 -25.63 180.26 464 4.8 60
## 848 -25.46 179.98 479 4.5 27
## 849 -22.23 180.48 581 5.0 54
## 850 -21.55 181.39 513 5.1 81
## 851 -15.18 185.93 77 4.1 16
## 852 -13.79 166.56 68 4.7 41
## 853 -15.18 167.23 71 5.2 59
## 854 -18.78 186.72 68 4.8 48
## 855 -17.90 181.41 586 4.5 33
## 856 -18.50 185.40 243 4.0 11
## 857 -14.82 171.17 658 4.7 49
## 858 -15.65 185.17 315 4.1 15
## 859 -30.01 181.15 210 4.3 17
## 860 -13.16 167.24 278 4.3 17
## 861 -21.03 180.78 638 4.0 14
## 862 -21.40 180.78 615 4.7 51
## 863 -17.93 181.89 567 4.1 27
## 864 -20.87 181.70 560 4.2 13
## 865 -12.01 166.66 99 4.8 36
## 866 -19.10 169.63 266 4.8 31
## 867 -22.85 181.37 397 4.2 15
## 868 -17.08 185.96 180 4.2 29
## 869 -21.14 174.21 40 5.7 78
## 870 -12.23 167.02 242 6.0 132
## 871 -20.91 181.57 530 4.2 20
## 872 -11.38 167.05 133 4.5 32
## 873 -11.02 167.01 62 4.9 36
## 874 -22.09 180.58 580 4.4 22
## 875 -17.80 181.20 530 4.0 15
## 876 -18.94 182.43 566 4.3 20
## 877 -18.85 182.20 501 4.2 23
## 878 -21.91 181.28 548 4.5 30
## 879 -22.03 179.77 587 4.8 31
## 880 -18.10 181.63 592 4.4 28
## 881 -18.40 184.84 221 4.2 18
## 882 -21.20 181.40 560 4.2 12
## 883 -12.00 166.20 94 5.0 31
## 884 -11.70 166.30 139 4.2 15
## 885 -26.72 182.69 162 5.2 64
## 886 -24.39 178.98 562 4.5 30
## 887 -19.64 169.50 204 4.6 35
## 888 -21.35 170.04 56 5.0 22
## 889 -22.82 184.52 49 5.0 52
## 890 -38.28 177.10 100 5.4 71
## 891 -12.57 167.11 231 4.8 28
## 892 -22.24 180.28 601 4.2 21
## 893 -13.80 166.53 42 5.5 70
## 894 -21.07 183.78 180 4.3 25
## 895 -17.74 181.25 559 4.1 16
## 896 -23.87 180.15 524 4.4 22
## 897 -21.29 185.80 69 4.9 74
## 898 -22.20 180.58 594 4.5 45
## 899 -15.24 185.11 262 4.9 56
## 900 -17.82 181.27 538 4.0 33
## 901 -32.14 180.00 331 4.5 27
## 902 -19.30 185.86 48 5.0 40
## 903 -33.09 180.94 47 4.9 47
## 904 -20.18 181.62 558 4.5 31
## 905 -17.46 181.42 524 4.2 16
## 906 -17.44 181.33 545 4.2 37
## 907 -24.71 179.85 477 4.2 34
## 908 -21.53 170.52 129 5.2 30
## 909 -19.17 169.53 268 4.3 21
## 910 -28.05 182.39 117 5.1 43
## 911 -23.39 179.97 541 4.6 50
## 912 -22.33 171.51 112 4.6 14
## 913 -15.28 185.98 162 4.4 36
## 914 -20.27 181.51 609 4.4 32
## 915 -10.96 165.97 76 4.9 64
## 916 -21.52 169.75 61 5.1 40
## 917 -19.57 184.47 202 4.2 28
## 918 -23.08 183.45 90 4.7 30
## 919 -25.06 182.80 133 4.0 14
## 920 -17.85 181.44 589 5.6 115
## 921 -15.99 167.95 190 5.3 81
## 922 -20.56 184.41 138 5.0 82
## 923 -17.98 181.61 598 4.3 27
## 924 -18.40 181.77 600 4.1 11
## 925 -27.64 182.22 162 5.1 67
## 926 -20.99 181.02 626 4.5 36
## 927 -14.86 167.32 137 4.9 22
## 928 -29.33 182.72 57 5.4 61
## 929 -25.81 182.54 201 4.7 40
## 930 -14.10 166.01 69 4.8 29
## 931 -17.63 185.13 219 4.5 28
## 932 -23.47 180.21 553 4.2 23
## 933 -23.92 180.21 524 4.6 50
## 934 -20.88 185.18 51 4.6 28
## 935 -20.25 184.75 107 5.6 121
## 936 -19.33 186.16 44 5.4 110
## 937 -18.14 181.71 574 4.0 20
## 938 -22.41 183.99 128 5.2 72
## 939 -20.77 181.16 568 4.2 12
## 940 -17.95 181.73 583 4.7 57
## 941 -20.83 181.01 622 4.3 15
## 942 -27.84 182.10 193 4.8 27
## 943 -19.94 182.39 544 4.6 30
## 944 -23.60 183.99 118 5.4 88
## 945 -23.70 184.13 51 4.8 27
## 946 -30.39 182.40 63 4.6 22
## 947 -18.98 182.32 442 4.2 22
## 948 -27.89 182.92 87 5.5 67
## 949 -23.50 184.90 61 4.7 16
## 950 -23.73 184.49 60 4.7 35
## 951 -17.93 181.62 561 4.5 32
## 952 -35.94 178.52 138 5.5 78
## 953 -18.68 184.50 174 4.5 34
## 954 -23.47 179.95 543 4.1 21
## 955 -23.49 180.06 530 4.0 23
## 956 -23.85 180.26 497 4.3 32
## 957 -27.08 183.44 63 4.7 27
## 958 -20.88 184.95 82 4.9 50
## 959 -20.97 181.20 605 4.5 31
## 960 -21.71 183.58 234 4.7 55
## 961 -23.90 184.60 41 4.5 22
## 962 -15.78 167.44 40 4.8 42
## 963 -12.57 166.72 137 4.3 20
## 964 -19.69 184.23 223 4.1 23
## 965 -22.04 183.95 109 5.4 61
## 966 -17.99 181.59 595 4.1 26
## 967 -23.50 180.13 512 4.8 40
## 968 -21.40 180.74 613 4.2 20
## 969 -15.86 166.98 60 4.8 25
## 970 -23.95 184.64 43 5.4 45
## 971 -25.79 182.38 172 4.4 14
## 972 -23.75 184.50 54 5.2 74
## 973 -24.10 184.50 68 4.7 23
## 974 -18.56 169.05 217 4.9 35
## 975 -23.30 184.68 102 4.9 27
## 976 -17.03 185.74 178 4.2 32
## 977 -20.77 183.71 251 4.4 47
## 978 -28.10 183.50 42 4.4 17
## 979 -18.83 182.26 575 4.3 11
## 980 -23.00 170.70 43 4.9 20
## 981 -20.82 181.67 577 5.0 67
## 982 -22.95 170.56 42 4.7 21
## 983 -28.22 183.60 75 4.9 49
## 984 -27.99 183.50 71 4.3 22
## 985 -15.54 187.15 60 4.5 17
## 986 -12.37 166.93 291 4.2 16
## 987 -22.33 171.66 125 5.2 51
## 988 -22.70 170.30 69 4.8 27
## 989 -17.86 181.30 614 4.0 12
## 990 -16.00 184.53 108 4.7 33
## 991 -20.73 181.42 575 4.3 18
## 992 -15.45 181.42 409 4.3 27
## 993 -20.05 183.86 243 4.9 65
## 994 -17.95 181.37 642 4.0 17
## 995 -17.70 188.10 45 4.2 10
## 996 -25.93 179.54 470 4.4 22
## 997 -12.28 167.06 248 4.7 35
## 998 -20.13 184.20 244 4.5 34
## 999 -17.40 187.80 40 4.5 14
## 1000 -21.59 170.56 165 6.0 119
##
## [[2]]
## lat long depth mag stations
## 1 -26.00 184.10 42 5.4 43
## 2 -20.70 169.92 139 6.1 94
## 3 -13.64 165.96 50 6.0 83
## 4 -19.66 180.28 431 5.4 57
## 5 -16.46 180.79 498 5.2 79
## 6 -18.97 185.25 129 5.1 73
## 7 -13.82 172.38 613 5.0 61
## 8 -21.96 179.62 627 5.0 45
## 9 -15.46 187.81 40 5.5 91
## 10 -23.74 179.99 506 5.2 75
## 11 -28.98 181.11 304 5.3 60
## 12 -34.02 180.21 75 5.2 65
## 13 -15.48 167.53 128 5.1 61
## 14 -20.64 182.02 497 5.2 64
## 15 -18.16 183.41 306 5.2 54
## 16 -13.66 166.54 50 5.1 45
## 17 -22.55 185.90 42 5.7 76
## 18 -36.95 177.81 146 5.0 35
## 19 -13.66 172.23 46 5.3 67
## 20 -17.93 167.89 49 5.1 43
## 21 -26.53 178.57 600 5.0 69
## 22 -16.14 187.32 42 5.1 68
## 23 -13.23 167.10 220 5.0 46
## 24 -23.58 180.17 462 5.3 63
## 25 -23.34 184.50 56 5.7 106
## 26 -15.56 167.62 127 6.4 122
## 27 -34.20 179.43 40 5.0 37
## 28 -26.00 182.12 205 5.6 98
## 29 -19.89 183.84 244 5.3 73
## 30 -32.22 180.20 216 5.7 90
## 31 -22.64 180.64 544 5.0 50
## 32 -20.02 184.09 234 5.3 71
## 33 -17.72 180.30 595 5.2 74
## 34 -21.96 180.54 603 5.2 66
## 35 -20.47 185.68 93 5.4 85
## 36 -23.73 182.53 232 5.0 55
## 37 -22.34 171.52 106 5.0 43
## 38 -21.68 180.63 617 5.0 63
## 39 -14.70 166.00 48 5.3 16
## 40 -16.65 185.51 218 5.0 52
## 41 -23.36 180.01 553 5.3 61
## 42 -17.80 181.38 587 5.1 47
## 43 -19.02 184.23 270 5.1 72
## 44 -22.13 180.38 577 5.7 104
## 45 -23.33 180.18 528 5.0 59
## 46 -19.13 182.51 579 5.2 56
## 47 -20.60 182.28 529 5.0 50
## 48 -18.48 181.49 641 5.0 49
## 49 -15.24 186.21 158 5.0 57
## 50 -16.40 185.86 148 5.0 47
## 51 -24.57 178.40 562 5.6 80
## 52 -12.93 169.63 641 5.1 57
## 53 -18.60 181.91 442 5.4 82
## 54 -18.77 169.24 218 5.3 53
## 55 -21.79 183.48 210 5.2 69
## 56 -11.41 166.24 83 5.3 55
## 57 -19.10 183.87 61 5.3 42
## 58 -12.25 166.60 219 5.0 28
## 59 -23.49 179.07 544 5.1 58
## 60 -27.19 182.18 69 5.4 68
## 61 -21.54 185.48 51 5.0 29
## 62 -30.17 182.02 56 5.5 68
## 63 -17.79 181.32 587 5.0 49
## 64 -22.19 171.40 150 5.1 49
## 65 -17.10 182.68 403 5.5 82
## 66 -21.98 179.60 583 5.4 67
## 67 -20.43 182.37 502 5.1 48
## 68 -23.73 179.99 527 5.1 49
## 69 -19.89 184.08 219 5.4 105
## 70 -17.59 181.09 536 5.1 61
## 71 -19.77 181.40 630 5.1 54
## 72 -15.33 186.75 48 5.7 123
## 73 -15.36 186.66 112 5.1 57
## 74 -15.36 186.71 130 5.5 95
## 75 -16.24 167.95 188 5.1 68
## 76 -25.50 182.82 124 5.0 25
## 77 -14.32 167.33 204 5.0 49
## 78 -20.04 182.01 605 5.1 49
## 79 -28.83 181.66 221 5.1 63
## 80 -17.72 181.42 565 5.3 89
## 81 -15.87 188.13 52 5.0 30
## 82 -17.84 181.30 535 5.7 112
## 83 -13.45 170.30 641 5.3 93
## 84 -26.18 178.59 548 5.4 65
## 85 -14.28 167.26 211 5.1 51
## 86 -22.10 179.71 579 5.1 58
## 87 -22.55 183.81 82 5.1 68
## 88 -20.85 181.59 499 5.1 91
## 89 -21.11 181.50 538 5.5 104
## 90 -23.53 179.99 538 5.4 87
## 91 -18.00 180.62 636 5.0 100
## 92 -18.08 180.70 628 5.2 72
## 93 -29.90 181.16 215 5.1 51
## 94 -10.79 166.06 142 5.0 40
## 95 -37.93 177.47 65 5.4 65
## 96 -23.58 183.40 94 5.2 79
## 97 -22.54 172.91 54 5.5 71
## 98 -20.90 184.28 58 5.5 92
## 99 -32.45 181.15 41 5.5 81
## 100 -13.26 167.01 213 5.1 70
## 101 -15.77 167.01 64 5.5 73
## 102 -15.95 167.34 47 5.4 87
## 103 -15.90 167.42 40 5.5 86
## 104 -11.54 166.18 89 5.4 80
## 105 -15.61 187.15 49 5.0 30
## 106 -22.91 183.95 64 5.9 118
## 107 -21.92 182.80 273 5.3 78
## 108 -17.71 181.18 574 5.2 67
## 109 -34.68 179.82 75 5.6 79
## 110 -14.46 167.26 195 5.2 87
## 111 -20.41 186.51 63 5.0 28
## 112 -18.51 182.64 405 5.2 74
## 113 -27.28 183.40 70 5.1 54
## 114 -11.25 166.36 130 5.1 55
## 115 -23.31 179.27 566 5.1 49
## 116 -27.98 181.96 53 5.2 89
## 117 -19.89 174.46 546 5.7 99
## 118 -15.65 186.26 64 5.1 54
## 119 -20.06 168.69 49 5.1 49
## 120 -24.18 179.02 550 5.3 86
## 121 -23.78 180.31 518 5.1 71
## 122 -22.87 172.65 56 5.1 50
## 123 -18.82 182.21 417 5.6 129
## 124 -12.05 167.39 332 5.0 36
## 125 -28.15 183.40 57 5.0 32
## 126 -37.03 177.52 153 5.6 87
## 127 -18.12 181.88 649 5.4 88
## 128 -11.40 166.07 93 5.6 94
## 129 -17.59 180.98 548 5.1 79
## 130 -18.14 180.87 624 5.5 105
## 131 -23.46 180.11 539 5.0 41
## 132 -18.21 180.87 631 5.2 69
## 133 -15.34 167.10 128 5.3 18
## 134 -18.92 169.37 248 5.3 60
## 135 -20.93 181.54 564 5.0 64
## 136 -18.80 182.41 385 5.2 67
## 137 -18.07 181.58 603 5.0 65
## 138 -18.04 181.57 587 5.0 51
## 139 -17.64 177.01 545 5.2 91
## 140 -17.98 181.51 586 5.2 68
## 141 -17.74 186.78 104 5.1 71
## 142 -15.93 167.91 183 5.6 109
## 143 -21.44 170.45 166 5.1 22
## 144 -26.50 178.29 609 5.0 50
## 145 -19.02 186.83 45 5.2 65
## 146 -19.30 183.00 302 5.0 65
## 147 -31.03 181.59 57 5.2 49
## 148 -21.29 185.77 57 5.3 69
## 149 -21.08 180.85 627 5.9 119
## 150 -17.10 185.90 127 5.4 75
## 151 -21.13 185.60 85 5.3 86
## 152 -12.34 167.43 50 5.1 47
## 153 -21.57 183.86 156 5.1 70
## 154 -13.70 166.75 46 5.3 71
## 155 -20.24 185.10 86 5.1 61
## 156 -24.04 184.85 70 5.0 48
## 157 -15.00 184.62 40 5.1 54
## 158 -14.12 166.64 63 5.3 69
## 159 -23.61 180.27 537 5.0 63
## 160 -21.19 181.58 490 5.0 77
## 161 -23.80 184.70 42 5.0 36
## 162 -19.34 186.59 56 5.2 49
## 163 -20.89 185.26 54 5.1 44
## 164 -18.97 169.44 242 5.0 41
## 165 -25.42 182.65 102 5.0 36
## 166 -21.60 169.90 43 5.2 56
## 167 -22.23 180.48 581 5.0 54
## 168 -21.55 181.39 513 5.1 81
## 169 -15.18 167.23 71 5.2 59
## 170 -21.14 174.21 40 5.7 78
## 171 -12.23 167.02 242 6.0 132
## 172 -12.00 166.20 94 5.0 31
## 173 -26.72 182.69 162 5.2 64
## 174 -21.35 170.04 56 5.0 22
## 175 -22.82 184.52 49 5.0 52
## 176 -38.28 177.10 100 5.4 71
## 177 -13.80 166.53 42 5.5 70
## 178 -19.30 185.86 48 5.0 40
## 179 -21.53 170.52 129 5.2 30
## 180 -28.05 182.39 117 5.1 43
## 181 -21.52 169.75 61 5.1 40
## 182 -17.85 181.44 589 5.6 115
## 183 -15.99 167.95 190 5.3 81
## 184 -20.56 184.41 138 5.0 82
## 185 -27.64 182.22 162 5.1 67
## 186 -29.33 182.72 57 5.4 61
## 187 -20.25 184.75 107 5.6 121
## 188 -19.33 186.16 44 5.4 110
## 189 -22.41 183.99 128 5.2 72
## 190 -23.60 183.99 118 5.4 88
## 191 -27.89 182.92 87 5.5 67
## 192 -35.94 178.52 138 5.5 78
## 193 -22.04 183.95 109 5.4 61
## 194 -23.95 184.64 43 5.4 45
## 195 -23.75 184.50 54 5.2 74
## 196 -20.82 181.67 577 5.0 67
## 197 -22.33 171.66 125 5.2 51
## 198 -21.59 170.56 165 6.0 119
##
## [[3]]
## type income education prestige
## accountant prof 62 86 82
## pilot prof 72 76 83
## architect prof 75 92 90
## author prof 55 90 76
## chemist prof 64 86 90
## minister prof 21 84 87
## professor prof 64 93 93
## dentist prof 80 100 90
## reporter wc 67 87 52
## engineer prof 72 86 88
## undertaker prof 42 74 57
## lawyer prof 76 98 89
## physician prof 76 97 97
## welfare.worker prof 41 84 59
## teacher prof 48 91 73
## conductor wc 76 34 38
## contractor prof 53 45 76
## factory.owner prof 60 56 81
## store.manager prof 42 44 45
## banker prof 78 82 92
## bookkeeper wc 29 72 39
## mail.carrier wc 48 55 34
## insurance.agent wc 55 71 41
## store.clerk wc 29 50 16
## carpenter bc 21 23 33
## electrician bc 47 39 53
## RR.engineer bc 81 28 67
## machinist bc 36 32 57
## auto.repairman bc 22 22 26
## plumber bc 44 25 29
## gas.stn.attendant bc 15 29 10
## coal.miner bc 7 7 15
## streetcar.motorman bc 42 26 19
## taxi.driver bc 9 19 10
## truck.driver bc 21 15 13
## machine.operator bc 21 20 24
## barber bc 16 26 20
## bartender bc 16 28 7
## shoe.shiner bc 9 17 3
## cook bc 14 22 16
## soda.clerk bc 12 30 6
## watchman bc 17 25 11
## janitor bc 7 20 8
## policeman bc 34 47 41
## waiter bc 8 32 10#i
dput(exer,file="/Users/USER/Downloads/Exercise8-1.txt")
list.of.dataframes <- dget("/Users/USER/Downloads/Exercise8-1.txt")
list.of.dataframes## [[1]]
## lat long depth mag stations
## 1 -20.42 181.62 562 4.8 41
## 2 -20.62 181.03 650 4.2 15
## 3 -26.00 184.10 42 5.4 43
## 4 -17.97 181.66 626 4.1 19
## 5 -20.42 181.96 649 4.0 11
## 6 -19.68 184.31 195 4.0 12
## 7 -11.70 166.10 82 4.8 43
## 8 -28.11 181.93 194 4.4 15
## 9 -28.74 181.74 211 4.7 35
## 10 -17.47 179.59 622 4.3 19
## 11 -21.44 180.69 583 4.4 13
## 12 -12.26 167.00 249 4.6 16
## 13 -18.54 182.11 554 4.4 19
## 14 -21.00 181.66 600 4.4 10
## 15 -20.70 169.92 139 6.1 94
## 16 -15.94 184.95 306 4.3 11
## 17 -13.64 165.96 50 6.0 83
## 18 -17.83 181.50 590 4.5 21
## 19 -23.50 179.78 570 4.4 13
## 20 -22.63 180.31 598 4.4 18
## 21 -20.84 181.16 576 4.5 17
## 22 -10.98 166.32 211 4.2 12
## 23 -23.30 180.16 512 4.4 18
## 24 -30.20 182.00 125 4.7 22
## 25 -19.66 180.28 431 5.4 57
## 26 -17.94 181.49 537 4.0 15
## 27 -14.72 167.51 155 4.6 18
## 28 -16.46 180.79 498 5.2 79
## 29 -20.97 181.47 582 4.5 25
## 30 -19.84 182.37 328 4.4 17
## 31 -22.58 179.24 553 4.6 21
## 32 -16.32 166.74 50 4.7 30
## 33 -15.55 185.05 292 4.8 42
## 34 -23.55 180.80 349 4.0 10
## 35 -16.30 186.00 48 4.5 10
## 36 -25.82 179.33 600 4.3 13
## 37 -18.73 169.23 206 4.5 17
## 38 -17.64 181.28 574 4.6 17
## 39 -17.66 181.40 585 4.1 17
## 40 -18.82 169.33 230 4.4 11
## 41 -37.37 176.78 263 4.7 34
## 42 -15.31 186.10 96 4.6 32
## 43 -24.97 179.82 511 4.4 23
## 44 -15.49 186.04 94 4.3 26
## 45 -19.23 169.41 246 4.6 27
## 46 -30.10 182.30 56 4.9 34
## 47 -26.40 181.70 329 4.5 24
## 48 -11.77 166.32 70 4.4 18
## 49 -24.12 180.08 493 4.3 21
## 50 -18.97 185.25 129 5.1 73
## 51 -18.75 182.35 554 4.2 13
## 52 -19.26 184.42 223 4.0 15
## 53 -22.75 173.20 46 4.6 26
## 54 -21.37 180.67 593 4.3 13
## 55 -20.10 182.16 489 4.2 16
## 56 -19.85 182.13 562 4.4 31
## 57 -22.70 181.00 445 4.5 17
## 58 -22.06 180.60 584 4.0 11
## 59 -17.80 181.35 535 4.4 23
## 60 -24.20 179.20 530 4.3 12
## 61 -20.69 181.55 582 4.7 35
## 62 -21.16 182.40 260 4.1 12
## 63 -13.82 172.38 613 5.0 61
## 64 -11.49 166.22 84 4.6 32
## 65 -20.68 181.41 593 4.9 40
## 66 -17.10 184.93 286 4.7 25
## 67 -20.14 181.60 587 4.1 13
## 68 -21.96 179.62 627 5.0 45
## 69 -20.42 181.86 530 4.5 27
## 70 -15.46 187.81 40 5.5 91
## 71 -15.31 185.80 152 4.0 11
## 72 -19.86 184.35 201 4.5 30
## 73 -11.55 166.20 96 4.3 14
## 74 -23.74 179.99 506 5.2 75
## 75 -17.70 181.23 546 4.4 35
## 76 -23.54 180.04 564 4.3 15
## 77 -19.21 184.70 197 4.1 11
## 78 -12.11 167.06 265 4.5 23
## 79 -21.81 181.71 323 4.2 15
## 80 -28.98 181.11 304 5.3 60
## 81 -34.02 180.21 75 5.2 65
## 82 -23.84 180.99 367 4.5 27
## 83 -19.57 182.38 579 4.6 38
## 84 -20.12 183.40 284 4.3 15
## 85 -17.70 181.70 450 4.0 11
## 86 -19.66 184.31 170 4.3 15
## 87 -21.50 170.50 117 4.7 32
## 88 -23.64 179.96 538 4.5 26
## 89 -15.43 186.30 123 4.2 16
## 90 -15.41 186.44 69 4.3 42
## 91 -15.48 167.53 128 5.1 61
## 92 -13.36 167.06 236 4.7 22
## 93 -20.64 182.02 497 5.2 64
## 94 -19.72 169.71 271 4.2 14
## 95 -15.44 185.26 224 4.2 21
## 96 -19.73 182.40 375 4.0 18
## 97 -27.24 181.11 365 4.5 21
## 98 -18.16 183.41 306 5.2 54
## 99 -13.66 166.54 50 5.1 45
## 100 -24.57 179.92 484 4.7 33
## 101 -16.98 185.61 108 4.1 12
## 102 -26.20 178.41 583 4.6 25
## 103 -21.88 180.39 608 4.7 30
## 104 -33.00 181.60 72 4.7 22
## 105 -21.33 180.69 636 4.6 29
## 106 -19.44 183.50 293 4.2 15
## 107 -34.89 180.60 42 4.4 25
## 108 -20.24 169.49 100 4.6 22
## 109 -22.55 185.90 42 5.7 76
## 110 -36.95 177.81 146 5.0 35
## 111 -15.75 185.23 280 4.5 28
## 112 -16.85 182.31 388 4.2 14
## 113 -19.06 182.45 477 4.0 16
## 114 -26.11 178.30 617 4.8 39
## 115 -26.20 178.35 606 4.4 21
## 116 -26.13 178.31 609 4.2 25
## 117 -13.66 172.23 46 5.3 67
## 118 -13.47 172.29 64 4.7 14
## 119 -14.60 167.40 178 4.8 52
## 120 -18.96 169.48 248 4.2 13
## 121 -14.65 166.97 82 4.8 28
## 122 -19.90 178.90 81 4.3 11
## 123 -22.05 180.40 606 4.7 27
## 124 -19.22 182.43 571 4.5 23
## 125 -31.24 180.60 328 4.4 18
## 126 -17.93 167.89 49 5.1 43
## 127 -19.30 183.84 517 4.2 21
## 128 -26.53 178.57 600 5.0 69
## 129 -27.72 181.70 94 4.8 59
## 130 -19.19 183.51 307 4.3 19
## 131 -17.43 185.43 189 4.5 22
## 132 -17.05 181.22 527 4.2 24
## 133 -19.52 168.98 63 4.5 21
## 134 -23.71 180.30 510 4.6 30
## 135 -21.30 180.82 624 4.3 14
## 136 -16.24 168.02 53 4.7 12
## 137 -16.14 187.32 42 5.1 68
## 138 -23.95 182.80 199 4.6 14
## 139 -25.20 182.60 149 4.9 31
## 140 -18.84 184.16 210 4.2 17
## 141 -12.66 169.46 658 4.6 43
## 142 -20.65 181.40 582 4.0 14
## 143 -13.23 167.10 220 5.0 46
## 144 -29.91 181.43 205 4.4 34
## 145 -14.31 173.50 614 4.2 23
## 146 -20.10 184.40 186 4.2 10
## 147 -17.80 185.17 97 4.4 22
## 148 -21.27 173.49 48 4.9 42
## 149 -23.58 180.17 462 5.3 63
## 150 -17.90 181.50 573 4.0 19
## 151 -23.34 184.50 56 5.7 106
## 152 -15.56 167.62 127 6.4 122
## 153 -23.83 182.56 229 4.3 24
## 154 -11.80 165.80 112 4.2 20
## 155 -15.54 167.68 140 4.7 16
## 156 -20.65 181.32 597 4.7 39
## 157 -11.75 166.07 69 4.2 14
## 158 -24.81 180.00 452 4.3 19
## 159 -20.90 169.84 93 4.9 31
## 160 -11.34 166.24 103 4.6 30
## 161 -17.98 180.50 626 4.1 19
## 162 -24.34 179.52 504 4.8 34
## 163 -13.86 167.16 202 4.6 30
## 164 -35.56 180.20 42 4.6 32
## 165 -35.48 179.90 59 4.8 35
## 166 -34.20 179.43 40 5.0 37
## 167 -26.00 182.12 205 5.6 98
## 168 -19.89 183.84 244 5.3 73
## 169 -23.43 180.00 553 4.7 41
## 170 -18.89 169.42 239 4.5 27
## 171 -17.82 181.83 640 4.3 24
## 172 -25.68 180.34 434 4.6 41
## 173 -20.20 180.90 627 4.1 11
## 174 -15.20 184.68 99 4.1 14
## 175 -15.03 182.29 399 4.1 10
## 176 -32.22 180.20 216 5.7 90
## 177 -22.64 180.64 544 5.0 50
## 178 -17.42 185.16 206 4.5 22
## 179 -17.84 181.48 542 4.1 20
## 180 -15.02 184.24 339 4.6 27
## 181 -18.04 181.75 640 4.5 47
## 182 -24.60 183.50 67 4.3 25
## 183 -19.88 184.30 161 4.4 17
## 184 -20.30 183.00 375 4.2 15
## 185 -20.45 181.85 534 4.1 14
## 186 -17.67 187.09 45 4.9 62
## 187 -22.30 181.90 309 4.3 11
## 188 -19.85 181.85 576 4.9 54
## 189 -24.27 179.88 523 4.6 24
## 190 -15.85 185.13 290 4.6 29
## 191 -20.02 184.09 234 5.3 71
## 192 -18.56 169.31 223 4.7 35
## 193 -17.87 182.00 569 4.6 12
## 194 -24.08 179.50 605 4.1 21
## 195 -32.20 179.61 422 4.6 41
## 196 -20.36 181.19 637 4.2 23
## 197 -23.85 182.53 204 4.6 27
## 198 -24.00 182.75 175 4.5 14
## 199 -20.41 181.74 538 4.3 31
## 200 -17.72 180.30 595 5.2 74
## 201 -19.67 182.18 360 4.3 23
## 202 -17.70 182.20 445 4.0 12
## 203 -16.23 183.59 367 4.7 35
## 204 -26.72 183.35 190 4.5 36
## 205 -12.95 169.09 629 4.5 19
## 206 -21.97 182.32 261 4.3 13
## 207 -21.96 180.54 603 5.2 66
## 208 -20.32 181.69 508 4.5 14
## 209 -30.28 180.62 350 4.7 32
## 210 -20.20 182.30 533 4.2 11
## 211 -30.66 180.13 411 4.7 42
## 212 -16.17 184.10 338 4.3 13
## 213 -28.25 181.71 226 4.1 19
## 214 -20.47 185.68 93 5.4 85
## 215 -23.55 180.27 535 4.3 22
## 216 -20.94 181.58 573 4.3 21
## 217 -26.67 182.40 186 4.2 17
## 218 -18.13 181.52 618 4.6 41
## 219 -20.21 183.83 242 4.4 29
## 220 -18.31 182.39 342 4.2 14
## 221 -16.52 185.70 90 4.7 30
## 222 -22.36 171.65 130 4.6 39
## 223 -22.43 184.48 65 4.9 48
## 224 -20.37 182.10 397 4.2 22
## 225 -23.77 180.16 505 4.5 26
## 226 -13.65 166.66 71 4.9 52
## 227 -21.55 182.90 207 4.2 18
## 228 -16.24 185.75 154 4.5 22
## 229 -23.73 182.53 232 5.0 55
## 230 -22.34 171.52 106 5.0 43
## 231 -19.40 180.94 664 4.7 34
## 232 -24.64 180.81 397 4.3 24
## 233 -16.00 182.82 431 4.4 16
## 234 -19.62 185.35 57 4.9 31
## 235 -23.84 180.13 525 4.5 15
## 236 -23.54 179.93 574 4.0 12
## 237 -28.23 182.68 74 4.4 20
## 238 -21.68 180.63 617 5.0 63
## 239 -13.44 166.53 44 4.7 27
## 240 -24.96 180.22 470 4.8 41
## 241 -20.08 182.74 298 4.5 33
## 242 -24.36 182.84 148 4.1 16
## 243 -14.70 166.00 48 5.3 16
## 244 -18.20 183.68 107 4.8 52
## 245 -16.65 185.51 218 5.0 52
## 246 -18.11 181.67 597 4.6 28
## 247 -17.95 181.65 619 4.3 26
## 248 -15.50 186.90 46 4.7 18
## 249 -23.36 180.01 553 5.3 61
## 250 -19.15 169.50 150 4.2 12
## 251 -10.97 166.26 180 4.7 26
## 252 -14.85 167.24 97 4.5 26
## 253 -17.80 181.38 587 5.1 47
## 254 -22.50 170.40 106 4.9 38
## 255 -29.10 182.10 179 4.4 19
## 256 -20.32 180.88 680 4.2 22
## 257 -16.09 184.89 304 4.6 34
## 258 -19.18 169.33 254 4.7 35
## 259 -23.81 179.36 521 4.2 23
## 260 -23.79 179.89 526 4.9 43
## 261 -19.02 184.23 270 5.1 72
## 262 -20.90 181.51 548 4.7 32
## 263 -19.06 169.01 158 4.4 10
## 264 -17.88 181.47 562 4.4 27
## 265 -19.41 183.05 300 4.2 16
## 266 -26.17 184.20 65 4.9 37
## 267 -14.95 167.24 130 4.6 16
## 268 -18.73 168.80 82 4.4 14
## 269 -20.21 182.37 482 4.6 37
## 270 -21.29 180.85 607 4.5 23
## 271 -19.76 181.41 105 4.4 15
## 272 -22.09 180.38 590 4.9 35
## 273 -23.80 179.90 498 4.1 12
## 274 -20.16 181.99 504 4.2 11
## 275 -22.13 180.38 577 5.7 104
## 276 -17.44 181.40 529 4.6 25
## 277 -23.33 180.18 528 5.0 59
## 278 -24.78 179.22 492 4.3 16
## 279 -22.00 180.52 561 4.5 19
## 280 -19.13 182.51 579 5.2 56
## 281 -30.72 180.10 413 4.4 22
## 282 -22.32 180.54 565 4.2 12
## 283 -16.45 177.77 138 4.6 17
## 284 -17.70 185.00 383 4.0 10
## 285 -17.95 184.68 260 4.4 21
## 286 -24.40 179.85 522 4.7 29
## 287 -19.30 180.60 671 4.2 16
## 288 -21.13 185.32 123 4.7 36
## 289 -18.07 181.57 572 4.5 26
## 290 -20.60 182.28 529 5.0 50
## 291 -18.48 181.49 641 5.0 49
## 292 -13.34 166.20 67 4.8 18
## 293 -20.92 181.50 546 4.6 31
## 294 -25.31 179.69 507 4.6 35
## 295 -15.24 186.21 158 5.0 57
## 296 -16.40 185.86 148 5.0 47
## 297 -24.57 178.40 562 5.6 80
## 298 -17.94 181.51 601 4.0 16
## 299 -30.64 181.20 175 4.0 16
## 300 -18.64 169.32 260 4.6 23
## 301 -13.09 169.28 654 4.4 22
## 302 -19.68 184.14 242 4.8 40
## 303 -16.44 185.74 126 4.7 30
## 304 -21.09 181.38 555 4.6 15
## 305 -14.99 171.39 637 4.3 21
## 306 -23.30 179.70 500 4.7 29
## 307 -17.68 181.36 515 4.1 19
## 308 -22.00 180.53 583 4.9 20
## 309 -21.38 181.39 501 4.6 36
## 310 -32.62 181.50 55 4.8 26
## 311 -13.05 169.58 644 4.9 68
## 312 -12.93 169.63 641 5.1 57
## 313 -18.60 181.91 442 5.4 82
## 314 -21.34 181.41 464 4.5 21
## 315 -21.48 183.78 200 4.9 54
## 316 -17.40 181.02 479 4.4 14
## 317 -17.32 181.03 497 4.1 13
## 318 -18.77 169.24 218 5.3 53
## 319 -26.16 179.50 492 4.5 25
## 320 -12.59 167.10 325 4.9 26
## 321 -14.82 167.32 123 4.8 28
## 322 -21.79 183.48 210 5.2 69
## 323 -19.83 182.04 575 4.4 23
## 324 -29.50 182.31 129 4.4 14
## 325 -12.49 166.36 74 4.9 55
## 326 -26.10 182.30 49 4.4 11
## 327 -21.04 181.20 483 4.2 10
## 328 -10.78 165.77 93 4.6 20
## 329 -20.76 185.77 118 4.6 15
## 330 -11.41 166.24 83 5.3 55
## 331 -19.10 183.87 61 5.3 42
## 332 -23.91 180.00 534 4.5 11
## 333 -27.33 182.60 42 4.4 11
## 334 -12.25 166.60 219 5.0 28
## 335 -23.49 179.07 544 5.1 58
## 336 -27.18 182.18 56 4.5 14
## 337 -25.80 182.10 68 4.5 26
## 338 -27.19 182.18 69 5.4 68
## 339 -27.27 182.38 45 4.5 16
## 340 -27.10 182.18 43 4.7 17
## 341 -27.22 182.28 65 4.2 14
## 342 -27.38 181.70 80 4.8 13
## 343 -27.27 182.50 51 4.5 13
## 344 -27.54 182.50 68 4.3 12
## 345 -27.20 182.39 69 4.3 14
## 346 -27.71 182.47 103 4.3 11
## 347 -27.60 182.40 61 4.6 11
## 348 -27.38 182.39 69 4.5 12
## 349 -21.54 185.48 51 5.0 29
## 350 -27.21 182.43 55 4.6 10
## 351 -28.96 182.61 54 4.6 15
## 352 -12.01 166.29 59 4.9 27
## 353 -17.46 181.32 573 4.1 17
## 354 -30.17 182.02 56 5.5 68
## 355 -27.27 182.36 65 4.7 21
## 356 -17.79 181.32 587 5.0 49
## 357 -22.19 171.40 150 5.1 49
## 358 -17.10 182.68 403 5.5 82
## 359 -27.18 182.53 60 4.6 21
## 360 -11.64 166.47 130 4.7 19
## 361 -17.98 181.58 590 4.2 14
## 362 -16.90 185.72 135 4.0 22
## 363 -21.98 179.60 583 5.4 67
## 364 -32.14 179.90 406 4.3 19
## 365 -18.80 169.21 221 4.4 16
## 366 -26.78 183.61 40 4.6 22
## 367 -20.43 182.37 502 5.1 48
## 368 -18.30 183.20 103 4.5 14
## 369 -15.83 182.51 423 4.2 21
## 370 -23.44 182.93 158 4.1 20
## 371 -23.73 179.99 527 5.1 49
## 372 -19.89 184.08 219 5.4 105
## 373 -17.59 181.09 536 5.1 61
## 374 -19.77 181.40 630 5.1 54
## 375 -20.31 184.06 249 4.4 21
## 376 -15.33 186.75 48 5.7 123
## 377 -18.20 181.60 553 4.4 14
## 378 -15.36 186.66 112 5.1 57
## 379 -15.29 186.42 153 4.6 31
## 380 -15.36 186.71 130 5.5 95
## 381 -16.24 167.95 188 5.1 68
## 382 -13.47 167.14 226 4.4 26
## 383 -25.50 182.82 124 5.0 25
## 384 -14.32 167.33 204 5.0 49
## 385 -20.04 182.01 605 5.1 49
## 386 -28.83 181.66 221 5.1 63
## 387 -17.82 181.49 573 4.2 14
## 388 -27.23 180.98 401 4.5 39
## 389 -10.72 165.99 195 4.0 14
## 390 -27.00 183.88 56 4.9 36
## 391 -20.36 186.16 102 4.3 21
## 392 -27.17 183.68 44 4.8 27
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## 884 -11.70 166.30 139 4.2 15
## 885 -26.72 182.69 162 5.2 64
## 886 -24.39 178.98 562 4.5 30
## 887 -19.64 169.50 204 4.6 35
## 888 -21.35 170.04 56 5.0 22
## 889 -22.82 184.52 49 5.0 52
## 890 -38.28 177.10 100 5.4 71
## 891 -12.57 167.11 231 4.8 28
## 892 -22.24 180.28 601 4.2 21
## 893 -13.80 166.53 42 5.5 70
## 894 -21.07 183.78 180 4.3 25
## 895 -17.74 181.25 559 4.1 16
## 896 -23.87 180.15 524 4.4 22
## 897 -21.29 185.80 69 4.9 74
## 898 -22.20 180.58 594 4.5 45
## 899 -15.24 185.11 262 4.9 56
## 900 -17.82 181.27 538 4.0 33
## 901 -32.14 180.00 331 4.5 27
## 902 -19.30 185.86 48 5.0 40
## 903 -33.09 180.94 47 4.9 47
## 904 -20.18 181.62 558 4.5 31
## 905 -17.46 181.42 524 4.2 16
## 906 -17.44 181.33 545 4.2 37
## 907 -24.71 179.85 477 4.2 34
## 908 -21.53 170.52 129 5.2 30
## 909 -19.17 169.53 268 4.3 21
## 910 -28.05 182.39 117 5.1 43
## 911 -23.39 179.97 541 4.6 50
## 912 -22.33 171.51 112 4.6 14
## 913 -15.28 185.98 162 4.4 36
## 914 -20.27 181.51 609 4.4 32
## 915 -10.96 165.97 76 4.9 64
## 916 -21.52 169.75 61 5.1 40
## 917 -19.57 184.47 202 4.2 28
## 918 -23.08 183.45 90 4.7 30
## 919 -25.06 182.80 133 4.0 14
## 920 -17.85 181.44 589 5.6 115
## 921 -15.99 167.95 190 5.3 81
## 922 -20.56 184.41 138 5.0 82
## 923 -17.98 181.61 598 4.3 27
## 924 -18.40 181.77 600 4.1 11
## 925 -27.64 182.22 162 5.1 67
## 926 -20.99 181.02 626 4.5 36
## 927 -14.86 167.32 137 4.9 22
## 928 -29.33 182.72 57 5.4 61
## 929 -25.81 182.54 201 4.7 40
## 930 -14.10 166.01 69 4.8 29
## 931 -17.63 185.13 219 4.5 28
## 932 -23.47 180.21 553 4.2 23
## 933 -23.92 180.21 524 4.6 50
## 934 -20.88 185.18 51 4.6 28
## 935 -20.25 184.75 107 5.6 121
## 936 -19.33 186.16 44 5.4 110
## 937 -18.14 181.71 574 4.0 20
## 938 -22.41 183.99 128 5.2 72
## 939 -20.77 181.16 568 4.2 12
## 940 -17.95 181.73 583 4.7 57
## 941 -20.83 181.01 622 4.3 15
## 942 -27.84 182.10 193 4.8 27
## 943 -19.94 182.39 544 4.6 30
## 944 -23.60 183.99 118 5.4 88
## 945 -23.70 184.13 51 4.8 27
## 946 -30.39 182.40 63 4.6 22
## 947 -18.98 182.32 442 4.2 22
## 948 -27.89 182.92 87 5.5 67
## 949 -23.50 184.90 61 4.7 16
## 950 -23.73 184.49 60 4.7 35
## 951 -17.93 181.62 561 4.5 32
## 952 -35.94 178.52 138 5.5 78
## 953 -18.68 184.50 174 4.5 34
## 954 -23.47 179.95 543 4.1 21
## 955 -23.49 180.06 530 4.0 23
## 956 -23.85 180.26 497 4.3 32
## 957 -27.08 183.44 63 4.7 27
## 958 -20.88 184.95 82 4.9 50
## 959 -20.97 181.20 605 4.5 31
## 960 -21.71 183.58 234 4.7 55
## 961 -23.90 184.60 41 4.5 22
## 962 -15.78 167.44 40 4.8 42
## 963 -12.57 166.72 137 4.3 20
## 964 -19.69 184.23 223 4.1 23
## 965 -22.04 183.95 109 5.4 61
## 966 -17.99 181.59 595 4.1 26
## 967 -23.50 180.13 512 4.8 40
## 968 -21.40 180.74 613 4.2 20
## 969 -15.86 166.98 60 4.8 25
## 970 -23.95 184.64 43 5.4 45
## 971 -25.79 182.38 172 4.4 14
## 972 -23.75 184.50 54 5.2 74
## 973 -24.10 184.50 68 4.7 23
## 974 -18.56 169.05 217 4.9 35
## 975 -23.30 184.68 102 4.9 27
## 976 -17.03 185.74 178 4.2 32
## 977 -20.77 183.71 251 4.4 47
## 978 -28.10 183.50 42 4.4 17
## 979 -18.83 182.26 575 4.3 11
## 980 -23.00 170.70 43 4.9 20
## 981 -20.82 181.67 577 5.0 67
## 982 -22.95 170.56 42 4.7 21
## 983 -28.22 183.60 75 4.9 49
## 984 -27.99 183.50 71 4.3 22
## 985 -15.54 187.15 60 4.5 17
## 986 -12.37 166.93 291 4.2 16
## 987 -22.33 171.66 125 5.2 51
## 988 -22.70 170.30 69 4.8 27
## 989 -17.86 181.30 614 4.0 12
## 990 -16.00 184.53 108 4.7 33
## 991 -20.73 181.42 575 4.3 18
## 992 -15.45 181.42 409 4.3 27
## 993 -20.05 183.86 243 4.9 65
## 994 -17.95 181.37 642 4.0 17
## 995 -17.70 188.10 45 4.2 10
## 996 -25.93 179.54 470 4.4 22
## 997 -12.28 167.06 248 4.7 35
## 998 -20.13 184.20 244 4.5 34
## 999 -17.40 187.80 40 4.5 14
## 1000 -21.59 170.56 165 6.0 119
##
## [[2]]
## lat long depth mag stations
## 1 -26.00 184.10 42 5.4 43
## 2 -20.70 169.92 139 6.1 94
## 3 -13.64 165.96 50 6.0 83
## 4 -19.66 180.28 431 5.4 57
## 5 -16.46 180.79 498 5.2 79
## 6 -18.97 185.25 129 5.1 73
## 7 -13.82 172.38 613 5.0 61
## 8 -21.96 179.62 627 5.0 45
## 9 -15.46 187.81 40 5.5 91
## 10 -23.74 179.99 506 5.2 75
## 11 -28.98 181.11 304 5.3 60
## 12 -34.02 180.21 75 5.2 65
## 13 -15.48 167.53 128 5.1 61
## 14 -20.64 182.02 497 5.2 64
## 15 -18.16 183.41 306 5.2 54
## 16 -13.66 166.54 50 5.1 45
## 17 -22.55 185.90 42 5.7 76
## 18 -36.95 177.81 146 5.0 35
## 19 -13.66 172.23 46 5.3 67
## 20 -17.93 167.89 49 5.1 43
## 21 -26.53 178.57 600 5.0 69
## 22 -16.14 187.32 42 5.1 68
## 23 -13.23 167.10 220 5.0 46
## 24 -23.58 180.17 462 5.3 63
## 25 -23.34 184.50 56 5.7 106
## 26 -15.56 167.62 127 6.4 122
## 27 -34.20 179.43 40 5.0 37
## 28 -26.00 182.12 205 5.6 98
## 29 -19.89 183.84 244 5.3 73
## 30 -32.22 180.20 216 5.7 90
## 31 -22.64 180.64 544 5.0 50
## 32 -20.02 184.09 234 5.3 71
## 33 -17.72 180.30 595 5.2 74
## 34 -21.96 180.54 603 5.2 66
## 35 -20.47 185.68 93 5.4 85
## 36 -23.73 182.53 232 5.0 55
## 37 -22.34 171.52 106 5.0 43
## 38 -21.68 180.63 617 5.0 63
## 39 -14.70 166.00 48 5.3 16
## 40 -16.65 185.51 218 5.0 52
## 41 -23.36 180.01 553 5.3 61
## 42 -17.80 181.38 587 5.1 47
## 43 -19.02 184.23 270 5.1 72
## 44 -22.13 180.38 577 5.7 104
## 45 -23.33 180.18 528 5.0 59
## 46 -19.13 182.51 579 5.2 56
## 47 -20.60 182.28 529 5.0 50
## 48 -18.48 181.49 641 5.0 49
## 49 -15.24 186.21 158 5.0 57
## 50 -16.40 185.86 148 5.0 47
## 51 -24.57 178.40 562 5.6 80
## 52 -12.93 169.63 641 5.1 57
## 53 -18.60 181.91 442 5.4 82
## 54 -18.77 169.24 218 5.3 53
## 55 -21.79 183.48 210 5.2 69
## 56 -11.41 166.24 83 5.3 55
## 57 -19.10 183.87 61 5.3 42
## 58 -12.25 166.60 219 5.0 28
## 59 -23.49 179.07 544 5.1 58
## 60 -27.19 182.18 69 5.4 68
## 61 -21.54 185.48 51 5.0 29
## 62 -30.17 182.02 56 5.5 68
## 63 -17.79 181.32 587 5.0 49
## 64 -22.19 171.40 150 5.1 49
## 65 -17.10 182.68 403 5.5 82
## 66 -21.98 179.60 583 5.4 67
## 67 -20.43 182.37 502 5.1 48
## 68 -23.73 179.99 527 5.1 49
## 69 -19.89 184.08 219 5.4 105
## 70 -17.59 181.09 536 5.1 61
## 71 -19.77 181.40 630 5.1 54
## 72 -15.33 186.75 48 5.7 123
## 73 -15.36 186.66 112 5.1 57
## 74 -15.36 186.71 130 5.5 95
## 75 -16.24 167.95 188 5.1 68
## 76 -25.50 182.82 124 5.0 25
## 77 -14.32 167.33 204 5.0 49
## 78 -20.04 182.01 605 5.1 49
## 79 -28.83 181.66 221 5.1 63
## 80 -17.72 181.42 565 5.3 89
## 81 -15.87 188.13 52 5.0 30
## 82 -17.84 181.30 535 5.7 112
## 83 -13.45 170.30 641 5.3 93
## 84 -26.18 178.59 548 5.4 65
## 85 -14.28 167.26 211 5.1 51
## 86 -22.10 179.71 579 5.1 58
## 87 -22.55 183.81 82 5.1 68
## 88 -20.85 181.59 499 5.1 91
## 89 -21.11 181.50 538 5.5 104
## 90 -23.53 179.99 538 5.4 87
## 91 -18.00 180.62 636 5.0 100
## 92 -18.08 180.70 628 5.2 72
## 93 -29.90 181.16 215 5.1 51
## 94 -10.79 166.06 142 5.0 40
## 95 -37.93 177.47 65 5.4 65
## 96 -23.58 183.40 94 5.2 79
## 97 -22.54 172.91 54 5.5 71
## 98 -20.90 184.28 58 5.5 92
## 99 -32.45 181.15 41 5.5 81
## 100 -13.26 167.01 213 5.1 70
## 101 -15.77 167.01 64 5.5 73
## 102 -15.95 167.34 47 5.4 87
## 103 -15.90 167.42 40 5.5 86
## 104 -11.54 166.18 89 5.4 80
## 105 -15.61 187.15 49 5.0 30
## 106 -22.91 183.95 64 5.9 118
## 107 -21.92 182.80 273 5.3 78
## 108 -17.71 181.18 574 5.2 67
## 109 -34.68 179.82 75 5.6 79
## 110 -14.46 167.26 195 5.2 87
## 111 -20.41 186.51 63 5.0 28
## 112 -18.51 182.64 405 5.2 74
## 113 -27.28 183.40 70 5.1 54
## 114 -11.25 166.36 130 5.1 55
## 115 -23.31 179.27 566 5.1 49
## 116 -27.98 181.96 53 5.2 89
## 117 -19.89 174.46 546 5.7 99
## 118 -15.65 186.26 64 5.1 54
## 119 -20.06 168.69 49 5.1 49
## 120 -24.18 179.02 550 5.3 86
## 121 -23.78 180.31 518 5.1 71
## 122 -22.87 172.65 56 5.1 50
## 123 -18.82 182.21 417 5.6 129
## 124 -12.05 167.39 332 5.0 36
## 125 -28.15 183.40 57 5.0 32
## 126 -37.03 177.52 153 5.6 87
## 127 -18.12 181.88 649 5.4 88
## 128 -11.40 166.07 93 5.6 94
## 129 -17.59 180.98 548 5.1 79
## 130 -18.14 180.87 624 5.5 105
## 131 -23.46 180.11 539 5.0 41
## 132 -18.21 180.87 631 5.2 69
## 133 -15.34 167.10 128 5.3 18
## 134 -18.92 169.37 248 5.3 60
## 135 -20.93 181.54 564 5.0 64
## 136 -18.80 182.41 385 5.2 67
## 137 -18.07 181.58 603 5.0 65
## 138 -18.04 181.57 587 5.0 51
## 139 -17.64 177.01 545 5.2 91
## 140 -17.98 181.51 586 5.2 68
## 141 -17.74 186.78 104 5.1 71
## 142 -15.93 167.91 183 5.6 109
## 143 -21.44 170.45 166 5.1 22
## 144 -26.50 178.29 609 5.0 50
## 145 -19.02 186.83 45 5.2 65
## 146 -19.30 183.00 302 5.0 65
## 147 -31.03 181.59 57 5.2 49
## 148 -21.29 185.77 57 5.3 69
## 149 -21.08 180.85 627 5.9 119
## 150 -17.10 185.90 127 5.4 75
## 151 -21.13 185.60 85 5.3 86
## 152 -12.34 167.43 50 5.1 47
## 153 -21.57 183.86 156 5.1 70
## 154 -13.70 166.75 46 5.3 71
## 155 -20.24 185.10 86 5.1 61
## 156 -24.04 184.85 70 5.0 48
## 157 -15.00 184.62 40 5.1 54
## 158 -14.12 166.64 63 5.3 69
## 159 -23.61 180.27 537 5.0 63
## 160 -21.19 181.58 490 5.0 77
## 161 -23.80 184.70 42 5.0 36
## 162 -19.34 186.59 56 5.2 49
## 163 -20.89 185.26 54 5.1 44
## 164 -18.97 169.44 242 5.0 41
## 165 -25.42 182.65 102 5.0 36
## 166 -21.60 169.90 43 5.2 56
## 167 -22.23 180.48 581 5.0 54
## 168 -21.55 181.39 513 5.1 81
## 169 -15.18 167.23 71 5.2 59
## 170 -21.14 174.21 40 5.7 78
## 171 -12.23 167.02 242 6.0 132
## 172 -12.00 166.20 94 5.0 31
## 173 -26.72 182.69 162 5.2 64
## 174 -21.35 170.04 56 5.0 22
## 175 -22.82 184.52 49 5.0 52
## 176 -38.28 177.10 100 5.4 71
## 177 -13.80 166.53 42 5.5 70
## 178 -19.30 185.86 48 5.0 40
## 179 -21.53 170.52 129 5.2 30
## 180 -28.05 182.39 117 5.1 43
## 181 -21.52 169.75 61 5.1 40
## 182 -17.85 181.44 589 5.6 115
## 183 -15.99 167.95 190 5.3 81
## 184 -20.56 184.41 138 5.0 82
## 185 -27.64 182.22 162 5.1 67
## 186 -29.33 182.72 57 5.4 61
## 187 -20.25 184.75 107 5.6 121
## 188 -19.33 186.16 44 5.4 110
## 189 -22.41 183.99 128 5.2 72
## 190 -23.60 183.99 118 5.4 88
## 191 -27.89 182.92 87 5.5 67
## 192 -35.94 178.52 138 5.5 78
## 193 -22.04 183.95 109 5.4 61
## 194 -23.95 184.64 43 5.4 45
## 195 -23.75 184.50 54 5.2 74
## 196 -20.82 181.67 577 5.0 67
## 197 -22.33 171.66 125 5.2 51
## 198 -21.59 170.56 165 6.0 119
##
## [[3]]
## type income education prestige
## accountant prof 62 86 82
## pilot prof 72 76 83
## architect prof 75 92 90
## author prof 55 90 76
## chemist prof 64 86 90
## minister prof 21 84 87
## professor prof 64 93 93
## dentist prof 80 100 90
## reporter wc 67 87 52
## engineer prof 72 86 88
## undertaker prof 42 74 57
## lawyer prof 76 98 89
## physician prof 76 97 97
## welfare.worker prof 41 84 59
## teacher prof 48 91 73
## conductor wc 76 34 38
## contractor prof 53 45 76
## factory.owner prof 60 56 81
## store.manager prof 42 44 45
## banker prof 78 82 92
## bookkeeper wc 29 72 39
## mail.carrier wc 48 55 34
## insurance.agent wc 55 71 41
## store.clerk wc 29 50 16
## carpenter bc 21 23 33
## electrician bc 47 39 53
## RR.engineer bc 81 28 67
## machinist bc 36 32 57
## auto.repairman bc 22 22 26
## plumber bc 44 25 29
## gas.stn.attendant bc 15 29 10
## coal.miner bc 7 7 15
## streetcar.motorman bc 42 26 19
## taxi.driver bc 9 19 10
## truck.driver bc 21 15 13
## machine.operator bc 21 20 24
## barber bc 16 26 20
## bartender bc 16 28 7
## shoe.shiner bc 9 17 3
## cook bc 14 22 16
## soda.clerk bc 12 30 6
## watchman bc 17 25 11
## janitor bc 7 20 8
## policeman bc 34 47 41
## waiter bc 8 32 10#d
x <- 1:20
y <- c(-1.49,3.37,2.59,-2.78,-3.94,-0.92,6.43,8.51,3.41,-8.23,
-12.01,-6.58,2.87,14.12,9.63,-4.58,-14.78,-11.67,1.17,15.62)
ptype <- rep(NA,length(x=x))
ptype[y>=5] <- "too_big"
ptype[y<=-5] <- "too_small"
ptype[(x>=5&x<=15)&(y>-5&y<5)] <- "sweet"
ptype[(x<5|x>15)&(y>-5&y<5)] <- "standard"
ptype <- factor(x=ptype)
ptype## [1] standard standard standard standard sweet sweet too_big
## [8] too_big sweet too_small too_small too_small sweet too_big
## [15] too_big standard too_small too_small standard too_big
## Levels: standard sweet too_big too_smallqplot(x,y,color=ptype,shape=ptype)
qplot(x,y,color=ptype,shape=ptype) + geom_point(size=4) +
geom_line(mapping=aes(group=1),color="black",lty=2) +
geom_hline(mapping=aes(yintercept=c(-5,5)),color="red") +
geom_segment(mapping=aes(x=5,y=-5,xend=5,yend=5),color="red",lty=3) +
geom_segment(mapping=aes(x=15,y=-5,xend=15,yend=5),color="red",lty=3)
ggsave(filename="/Users/USER/Downloads/mytff-plot.tiff")## Saving 6.94 x 6.94 in imageChapter 9
CALLING FUNCTIONS 9.1 Scoping 9.1.1 Environments NOTE Technically speaking, environments don’t actually contain items. Rather, they have pointers to the location of those items in the computer’s memory. But using the “compartment” metaphor and thinking of objects “belonging to” these compartments is useful when you’re first getting a general sense of how environments work.
Global Environment
## [1] "addNextMethod" "allNames" "Arith"
## [4] "as" "as<-" "asMethodDefinition"
## [7] "assignClassDef" "assignMethodsMetaData" "balanceMethodsList"
## [10] "body<-" "cacheGenericsMetaData" "cacheMetaData"
## [13] "cacheMethod" "callGeneric" "callNextMethod"
## [16] "canCoerce" "cbind2" "checkAtAssignment"
## [19] "checkSlotAssignment" "classesToAM"## [1] 201## <environment: namespace:utils>## NULL## <environment: namespace:base>## <environment: namespace:grDevices>## [1] FALSE# 9.2 Argument Matching
# 9.2.1 Exact
bar <- matrix(data=1:9,nrow=3,ncol=3,dimnames=list(c("A","B","C"),
c("D","E","F")))
bar## D E F
## A 1 4 7
## B 2 5 8
## C 3 6 9## D E F
## A 1 4 7
## B 2 5 8
## C 3 6 9## D E F
## A 1 4 7
## B 2 5 8
## C 3 6 9## function (data = NA, nrow = 1, ncol = 1, byrow = FALSE, dimnames = NULL)
## NULL## D E F
## A 1 4 7
## B 2 5 8
## C 3 6 9## D E F
## A 1 4 7
## B 2 5 8
## C 3 6 9## function (..., row.names = NULL, check.rows = FALSE, check.names = TRUE,
## fix.empty.names = TRUE, stringsAsFactors = FALSE)
## NULL## function (x, y, ...)
## NULL## [1] -4.0 -3.8 -3.6 -3.4 -3.2 -3.0 -2.8 -2.6 -2.4 -2.2 -2.0 -1.8 -1.6 -1.4 -1.2
## [16] -1.0 -0.8 -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8
## [31] 2.0 2.2 2.4 2.6 2.8 3.0 3.2 3.4 3.6 3.8 4.0## , , 1
##
## [,1] [,2]
## [1,] 8 6
## [2,] 7 5
##
## , , 2
##
## [,1] [,2]
## [1,] 4 2
## [2,] 3 1## [1] 1 2 1 2 1 2## [1] 10.0 9.5 9.0 8.5 8.0## [1] 3.0 2.0 2.0 1.3 1.0 1.0 0.3## [1] 1 3 4## row col
## [1,] 1 1
## [2,] 1 2
## [3,] 2 2