Creating Data
Defining and applying functions
a1 <- 5 #Defining object
a1
## [1] 5
a1 <- 10 #You can overwrite objects if they have the same name
a1
## [1] 10
a2 <- 15 #Creating new object
a1 + a2 #Applying addition function to 2 objects
## [1] 25
sum1 <- a1 + a2 #Defining a new object as a function of 2 objects
sum1
## [1] 25
product1 <- a1*a2 #Multiplication
product1
## [1] 150
data1 <- c(a1,a2) #Creating a dataframe from 2 objects
data1
## [1] 10 15
vec1 <- c(1,2,3,4,5) #Building a vector from a number sequence
vec1
## [1] 1 2 3 4 5
2*vec1 #Applying functions to a vector
## [1] 2 4 6 8 10
dfram1 <- cbind(vec1,vec1,vec1) #Binding vectors as columns to make a data set
dfram1
## vec1 vec1 vec1
## [1,] 1 1 1
## [2,] 2 2 2
## [3,] 3 3 3
## [4,] 4 4 4
## [5,] 5 5 5
dfram2 <- rbind(vec1,vec1,vec1) #Binding vectors as rows to make a data set
dfram2
## [,1] [,2] [,3] [,4] [,5]
## vec1 1 2 3 4 5
## vec1 1 2 3 4 5
## vec1 1 2 3 4 5
Observations from the Data
lists <- list(dfram1,dfram2) #Listing objects, or our data frames
lists
## [[1]]
## vec1 vec1 vec1
## [1,] 1 1 1
## [2,] 2 2 2
## [3,] 3 3 3
## [4,] 4 4 4
## [5,] 5 5 5
##
## [[2]]
## [,1] [,2] [,3] [,4] [,5]
## vec1 1 2 3 4 5
## vec1 1 2 3 4 5
## vec1 1 2 3 4 5
#?seq #Use ? if you dont know what a function is, or how it is applied
vec <- seq(from=1, to=5, by=1) #Using a sequence function to create vector
vec
## [1] 1 2 3 4 5
head(dfram1) #First observations
## vec1 vec1 vec1
## [1,] 1 1 1
## [2,] 2 2 2
## [3,] 3 3 3
## [4,] 4 4 4
## [5,] 5 5 5
tail(dfram1) #Last observations
## vec1 vec1 vec1
## [1,] 1 1 1
## [2,] 2 2 2
## [3,] 3 3 3
## [4,] 4 4 4
## [5,] 5 5 5
#View(dfram1) #View data frame as a spreadsheet in a new window
describe(dfram1) #View basic summary stats of data frame
## vars n mean sd median trimmed mad min max range skew kurtosis se
## 1 1 5 3 1.58 3 3 1.48 1 5 4 0 -1.91 0.71
## 2 2 5 3 1.58 3 3 1.48 1 5 4 0 -1.91 0.71
## 3 3 5 3 1.58 3 3 1.48 1 5 4 0 -1.91 0.71
class(dfram1) #Tells how the data is classified
## [1] "matrix" "array"
str(dfram1) #Tells how the data is structured
## num [1:5, 1:3] 1 2 3 4 5 1 2 3 4 5 ...
## - attr(*, "dimnames")=List of 2
## ..$ : NULL
## ..$ : chr [1:3] "vec1" "vec1" "vec1"
dim(dfram1) #Tells the dimensions of data frame
## [1] 5 3
colnames(dfram1) <- c('vec1','vec2','vec3') #Renaming colums
dfram1
## vec1 vec2 vec3
## [1,] 1 1 1
## [2,] 2 2 2
## [3,] 3 3 3
## [4,] 4 4 4
## [5,] 5 5 5
Exploring Iris Dataset
Navigating Data
#View(iris) #iris is a built in data set when you download r
head(iris)
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species
## 1 5.1 3.5 1.4 0.2 setosa
## 2 4.9 3.0 1.4 0.2 setosa
## 3 4.7 3.2 1.3 0.2 setosa
## 4 4.6 3.1 1.5 0.2 setosa
## 5 5.0 3.6 1.4 0.2 setosa
## 6 5.4 3.9 1.7 0.4 setosa
tail(iris)
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species
## 145 6.7 3.3 5.7 2.5 virginica
## 146 6.7 3.0 5.2 2.3 virginica
## 147 6.3 2.5 5.0 1.9 virginica
## 148 6.5 3.0 5.2 2.0 virginica
## 149 6.2 3.4 5.4 2.3 virginica
## 150 5.9 3.0 5.1 1.8 virginica
describe(iris)
## vars n mean sd median trimmed mad min max range skew
## Sepal.Length 1 150 5.84 0.83 5.80 5.81 1.04 4.3 7.9 3.6 0.31
## Sepal.Width 2 150 3.06 0.44 3.00 3.04 0.44 2.0 4.4 2.4 0.31
## Petal.Length 3 150 3.76 1.77 4.35 3.76 1.85 1.0 6.9 5.9 -0.27
## Petal.Width 4 150 1.20 0.76 1.30 1.18 1.04 0.1 2.5 2.4 -0.10
## Species* 5 150 2.00 0.82 2.00 2.00 1.48 1.0 3.0 2.0 0.00
## kurtosis se
## Sepal.Length -0.61 0.07
## Sepal.Width 0.14 0.04
## Petal.Length -1.42 0.14
## Petal.Width -1.36 0.06
## Species* -1.52 0.07
class(iris)
## [1] "data.frame"
str(iris)
## 'data.frame': 150 obs. of 5 variables:
## $ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
## $ Sepal.Width : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
## $ Petal.Length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
## $ Petal.Width : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
## $ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
dim(iris)
## [1] 150 5
class(iris$Sepal.Length) #you can call a field by using $ or [,x]
## [1] "numeric"
class(iris[,1])
## [1] "numeric"
class(iris$Species)
## [1] "factor"
class(iris[,5])
## [1] "factor"
Petal.LW <- iris$Petal.Length*iris$Petal.Width #Defining new field as the product of 2 other fields
Petal.LW
## [1] 0.28 0.28 0.26 0.30 0.28 0.68 0.42 0.30 0.28 0.15 0.30 0.32
## [13] 0.14 0.11 0.24 0.60 0.52 0.42 0.51 0.45 0.34 0.60 0.20 0.85
## [25] 0.38 0.32 0.64 0.30 0.28 0.32 0.32 0.60 0.15 0.28 0.30 0.24
## [37] 0.26 0.14 0.26 0.30 0.39 0.39 0.26 0.96 0.76 0.42 0.32 0.28
## [49] 0.30 0.28 6.58 6.75 7.35 5.20 6.90 5.85 7.52 3.30 5.98 5.46
## [61] 3.50 6.30 4.00 6.58 4.68 6.16 6.75 4.10 6.75 4.29 8.64 5.20
## [73] 7.35 5.64 5.59 6.16 6.72 8.50 6.75 3.50 4.18 3.70 4.68 8.16
## [85] 6.75 7.20 7.05 5.72 5.33 5.20 5.28 6.44 4.80 3.30 5.46 5.04
## [97] 5.46 5.59 3.30 5.33 15.00 9.69 12.39 10.08 12.76 13.86 7.65 11.34
## [109] 10.44 15.25 10.20 10.07 11.55 10.00 12.24 12.19 9.90 14.74 15.87 7.50
## [121] 13.11 9.80 13.40 8.82 11.97 10.80 8.64 8.82 11.76 9.28 11.59 12.80
## [133] 12.32 7.65 7.84 14.03 13.44 9.90 8.64 11.34 13.44 11.73 9.69 13.57
## [145] 14.25 11.96 9.50 10.40 12.42 9.18
Petal.LW[10] #Lists the 10th row entry for L*W
## [1] 0.15
iris2 <- cbind(iris,Petal.LW) #Binds new field to iris data set to define a new dataset
iris2
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species Petal.LW
## 1 5.1 3.5 1.4 0.2 setosa 0.28
## 2 4.9 3.0 1.4 0.2 setosa 0.28
## 3 4.7 3.2 1.3 0.2 setosa 0.26
## 4 4.6 3.1 1.5 0.2 setosa 0.30
## 5 5.0 3.6 1.4 0.2 setosa 0.28
## 6 5.4 3.9 1.7 0.4 setosa 0.68
## 7 4.6 3.4 1.4 0.3 setosa 0.42
## 8 5.0 3.4 1.5 0.2 setosa 0.30
## 9 4.4 2.9 1.4 0.2 setosa 0.28
## 10 4.9 3.1 1.5 0.1 setosa 0.15
## 11 5.4 3.7 1.5 0.2 setosa 0.30
## 12 4.8 3.4 1.6 0.2 setosa 0.32
## 13 4.8 3.0 1.4 0.1 setosa 0.14
## 14 4.3 3.0 1.1 0.1 setosa 0.11
## 15 5.8 4.0 1.2 0.2 setosa 0.24
## 16 5.7 4.4 1.5 0.4 setosa 0.60
## 17 5.4 3.9 1.3 0.4 setosa 0.52
## 18 5.1 3.5 1.4 0.3 setosa 0.42
## 19 5.7 3.8 1.7 0.3 setosa 0.51
## 20 5.1 3.8 1.5 0.3 setosa 0.45
## 21 5.4 3.4 1.7 0.2 setosa 0.34
## 22 5.1 3.7 1.5 0.4 setosa 0.60
## 23 4.6 3.6 1.0 0.2 setosa 0.20
## 24 5.1 3.3 1.7 0.5 setosa 0.85
## 25 4.8 3.4 1.9 0.2 setosa 0.38
## 26 5.0 3.0 1.6 0.2 setosa 0.32
## 27 5.0 3.4 1.6 0.4 setosa 0.64
## 28 5.2 3.5 1.5 0.2 setosa 0.30
## 29 5.2 3.4 1.4 0.2 setosa 0.28
## 30 4.7 3.2 1.6 0.2 setosa 0.32
## 31 4.8 3.1 1.6 0.2 setosa 0.32
## 32 5.4 3.4 1.5 0.4 setosa 0.60
## 33 5.2 4.1 1.5 0.1 setosa 0.15
## 34 5.5 4.2 1.4 0.2 setosa 0.28
## 35 4.9 3.1 1.5 0.2 setosa 0.30
## 36 5.0 3.2 1.2 0.2 setosa 0.24
## 37 5.5 3.5 1.3 0.2 setosa 0.26
## 38 4.9 3.6 1.4 0.1 setosa 0.14
## 39 4.4 3.0 1.3 0.2 setosa 0.26
## 40 5.1 3.4 1.5 0.2 setosa 0.30
## 41 5.0 3.5 1.3 0.3 setosa 0.39
## 42 4.5 2.3 1.3 0.3 setosa 0.39
## 43 4.4 3.2 1.3 0.2 setosa 0.26
## 44 5.0 3.5 1.6 0.6 setosa 0.96
## 45 5.1 3.8 1.9 0.4 setosa 0.76
## 46 4.8 3.0 1.4 0.3 setosa 0.42
## 47 5.1 3.8 1.6 0.2 setosa 0.32
## 48 4.6 3.2 1.4 0.2 setosa 0.28
## 49 5.3 3.7 1.5 0.2 setosa 0.30
## 50 5.0 3.3 1.4 0.2 setosa 0.28
## 51 7.0 3.2 4.7 1.4 versicolor 6.58
## 52 6.4 3.2 4.5 1.5 versicolor 6.75
## 53 6.9 3.1 4.9 1.5 versicolor 7.35
## 54 5.5 2.3 4.0 1.3 versicolor 5.20
## 55 6.5 2.8 4.6 1.5 versicolor 6.90
## 56 5.7 2.8 4.5 1.3 versicolor 5.85
## 57 6.3 3.3 4.7 1.6 versicolor 7.52
## 58 4.9 2.4 3.3 1.0 versicolor 3.30
## 59 6.6 2.9 4.6 1.3 versicolor 5.98
## 60 5.2 2.7 3.9 1.4 versicolor 5.46
## 61 5.0 2.0 3.5 1.0 versicolor 3.50
## 62 5.9 3.0 4.2 1.5 versicolor 6.30
## 63 6.0 2.2 4.0 1.0 versicolor 4.00
## 64 6.1 2.9 4.7 1.4 versicolor 6.58
## 65 5.6 2.9 3.6 1.3 versicolor 4.68
## 66 6.7 3.1 4.4 1.4 versicolor 6.16
## 67 5.6 3.0 4.5 1.5 versicolor 6.75
## 68 5.8 2.7 4.1 1.0 versicolor 4.10
## 69 6.2 2.2 4.5 1.5 versicolor 6.75
## 70 5.6 2.5 3.9 1.1 versicolor 4.29
## 71 5.9 3.2 4.8 1.8 versicolor 8.64
## 72 6.1 2.8 4.0 1.3 versicolor 5.20
## 73 6.3 2.5 4.9 1.5 versicolor 7.35
## 74 6.1 2.8 4.7 1.2 versicolor 5.64
## 75 6.4 2.9 4.3 1.3 versicolor 5.59
## 76 6.6 3.0 4.4 1.4 versicolor 6.16
## 77 6.8 2.8 4.8 1.4 versicolor 6.72
## 78 6.7 3.0 5.0 1.7 versicolor 8.50
## 79 6.0 2.9 4.5 1.5 versicolor 6.75
## 80 5.7 2.6 3.5 1.0 versicolor 3.50
## 81 5.5 2.4 3.8 1.1 versicolor 4.18
## 82 5.5 2.4 3.7 1.0 versicolor 3.70
## 83 5.8 2.7 3.9 1.2 versicolor 4.68
## 84 6.0 2.7 5.1 1.6 versicolor 8.16
## 85 5.4 3.0 4.5 1.5 versicolor 6.75
## 86 6.0 3.4 4.5 1.6 versicolor 7.20
## 87 6.7 3.1 4.7 1.5 versicolor 7.05
## 88 6.3 2.3 4.4 1.3 versicolor 5.72
## 89 5.6 3.0 4.1 1.3 versicolor 5.33
## 90 5.5 2.5 4.0 1.3 versicolor 5.20
## 91 5.5 2.6 4.4 1.2 versicolor 5.28
## 92 6.1 3.0 4.6 1.4 versicolor 6.44
## 93 5.8 2.6 4.0 1.2 versicolor 4.80
## 94 5.0 2.3 3.3 1.0 versicolor 3.30
## 95 5.6 2.7 4.2 1.3 versicolor 5.46
## 96 5.7 3.0 4.2 1.2 versicolor 5.04
## 97 5.7 2.9 4.2 1.3 versicolor 5.46
## 98 6.2 2.9 4.3 1.3 versicolor 5.59
## 99 5.1 2.5 3.0 1.1 versicolor 3.30
## 100 5.7 2.8 4.1 1.3 versicolor 5.33
## 101 6.3 3.3 6.0 2.5 virginica 15.00
## 102 5.8 2.7 5.1 1.9 virginica 9.69
## 103 7.1 3.0 5.9 2.1 virginica 12.39
## 104 6.3 2.9 5.6 1.8 virginica 10.08
## 105 6.5 3.0 5.8 2.2 virginica 12.76
## 106 7.6 3.0 6.6 2.1 virginica 13.86
## 107 4.9 2.5 4.5 1.7 virginica 7.65
## 108 7.3 2.9 6.3 1.8 virginica 11.34
## 109 6.7 2.5 5.8 1.8 virginica 10.44
## 110 7.2 3.6 6.1 2.5 virginica 15.25
## 111 6.5 3.2 5.1 2.0 virginica 10.20
## 112 6.4 2.7 5.3 1.9 virginica 10.07
## 113 6.8 3.0 5.5 2.1 virginica 11.55
## 114 5.7 2.5 5.0 2.0 virginica 10.00
## 115 5.8 2.8 5.1 2.4 virginica 12.24
## 116 6.4 3.2 5.3 2.3 virginica 12.19
## 117 6.5 3.0 5.5 1.8 virginica 9.90
## 118 7.7 3.8 6.7 2.2 virginica 14.74
## 119 7.7 2.6 6.9 2.3 virginica 15.87
## 120 6.0 2.2 5.0 1.5 virginica 7.50
## 121 6.9 3.2 5.7 2.3 virginica 13.11
## 122 5.6 2.8 4.9 2.0 virginica 9.80
## 123 7.7 2.8 6.7 2.0 virginica 13.40
## 124 6.3 2.7 4.9 1.8 virginica 8.82
## 125 6.7 3.3 5.7 2.1 virginica 11.97
## 126 7.2 3.2 6.0 1.8 virginica 10.80
## 127 6.2 2.8 4.8 1.8 virginica 8.64
## 128 6.1 3.0 4.9 1.8 virginica 8.82
## 129 6.4 2.8 5.6 2.1 virginica 11.76
## 130 7.2 3.0 5.8 1.6 virginica 9.28
## 131 7.4 2.8 6.1 1.9 virginica 11.59
## 132 7.9 3.8 6.4 2.0 virginica 12.80
## 133 6.4 2.8 5.6 2.2 virginica 12.32
## 134 6.3 2.8 5.1 1.5 virginica 7.65
## 135 6.1 2.6 5.6 1.4 virginica 7.84
## 136 7.7 3.0 6.1 2.3 virginica 14.03
## 137 6.3 3.4 5.6 2.4 virginica 13.44
## 138 6.4 3.1 5.5 1.8 virginica 9.90
## 139 6.0 3.0 4.8 1.8 virginica 8.64
## 140 6.9 3.1 5.4 2.1 virginica 11.34
## 141 6.7 3.1 5.6 2.4 virginica 13.44
## 142 6.9 3.1 5.1 2.3 virginica 11.73
## 143 5.8 2.7 5.1 1.9 virginica 9.69
## 144 6.8 3.2 5.9 2.3 virginica 13.57
## 145 6.7 3.3 5.7 2.5 virginica 14.25
## 146 6.7 3.0 5.2 2.3 virginica 11.96
## 147 6.3 2.5 5.0 1.9 virginica 9.50
## 148 6.5 3.0 5.2 2.0 virginica 10.40
## 149 6.2 3.4 5.4 2.3 virginica 12.42
## 150 5.9 3.0 5.1 1.8 virginica 9.18
iris2[10,] #Shows all fields for the 10th row by [x,]
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species Petal.LW
## 10 4.9 3.1 1.5 0.1 setosa 0.15
range(iris2$Petal.LW) #Range of values
## [1] 0.11 15.87
median(iris2$Petal.LW)
## [1] 5.615
mean(iris2$Petal.LW)
## [1] 5.794067
Ordering Petal Length
table(iris2$Petal.Length) #Frequency of every value in Length field
##
## 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.9 3 3.3 3.5 3.6 3.7 3.8 3.9 4 4.1 4.2 4.3
## 1 1 2 7 13 13 7 4 2 1 2 2 1 1 1 3 5 3 4 2
## 4.4 4.5 4.6 4.7 4.8 4.9 5 5.1 5.2 5.3 5.4 5.5 5.6 5.7 5.8 5.9 6 6.1 6.3 6.4
## 4 8 3 5 4 5 4 8 2 2 2 3 6 3 3 2 2 3 1 1
## 6.6 6.7 6.9
## 1 2 1
which.max(table(iris2$Petal.Length)) #Which value has the highest count for length, and what position
## 1.4
## 5
which.min(table(iris2$Petal.Length))
## 1
## 1
max(table(iris2$Petal.Length)) #How many are in the highest count
## [1] 13
min(table(iris2$Petal.Length))
## [1] 1
max(iris2$Petal.Length) #What is the maximum for length
## [1] 6.9
min(iris2$Petal.Length)
## [1] 1
order(iris2$Petal.Length) #Entry positions in order of length
## [1] 23 14 15 36 3 17 37 39 41 42 43 1 2 5 7 9 13 18
## [19] 29 34 38 46 48 50 4 8 10 11 16 20 22 28 32 33 35 40
## [37] 49 12 26 27 30 31 44 47 6 19 21 24 25 45 99 58 94 61
## [55] 80 65 82 81 60 70 83 54 63 72 90 93 68 89 100 62 95 96
## [73] 97 75 98 66 76 88 91 52 56 67 69 79 85 86 107 55 59 92
## [91] 51 57 64 74 87 71 77 127 139 53 73 122 124 128 78 114 120 147
## [109] 84 102 111 115 134 142 143 150 146 148 112 116 140 149 113 117 138 104
## [127] 129 133 135 137 141 121 125 145 105 109 130 103 144 101 126 110 131 136
## [145] 108 132 106 118 123 119
petallength.ord = iris2[order(iris2$Petal.Length),] #Reordering rows by length (= is same as <-)
petallength.ord
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species Petal.LW
## 23 4.6 3.6 1.0 0.2 setosa 0.20
## 14 4.3 3.0 1.1 0.1 setosa 0.11
## 15 5.8 4.0 1.2 0.2 setosa 0.24
## 36 5.0 3.2 1.2 0.2 setosa 0.24
## 3 4.7 3.2 1.3 0.2 setosa 0.26
## 17 5.4 3.9 1.3 0.4 setosa 0.52
## 37 5.5 3.5 1.3 0.2 setosa 0.26
## 39 4.4 3.0 1.3 0.2 setosa 0.26
## 41 5.0 3.5 1.3 0.3 setosa 0.39
## 42 4.5 2.3 1.3 0.3 setosa 0.39
## 43 4.4 3.2 1.3 0.2 setosa 0.26
## 1 5.1 3.5 1.4 0.2 setosa 0.28
## 2 4.9 3.0 1.4 0.2 setosa 0.28
## 5 5.0 3.6 1.4 0.2 setosa 0.28
## 7 4.6 3.4 1.4 0.3 setosa 0.42
## 9 4.4 2.9 1.4 0.2 setosa 0.28
## 13 4.8 3.0 1.4 0.1 setosa 0.14
## 18 5.1 3.5 1.4 0.3 setosa 0.42
## 29 5.2 3.4 1.4 0.2 setosa 0.28
## 34 5.5 4.2 1.4 0.2 setosa 0.28
## 38 4.9 3.6 1.4 0.1 setosa 0.14
## 46 4.8 3.0 1.4 0.3 setosa 0.42
## 48 4.6 3.2 1.4 0.2 setosa 0.28
## 50 5.0 3.3 1.4 0.2 setosa 0.28
## 4 4.6 3.1 1.5 0.2 setosa 0.30
## 8 5.0 3.4 1.5 0.2 setosa 0.30
## 10 4.9 3.1 1.5 0.1 setosa 0.15
## 11 5.4 3.7 1.5 0.2 setosa 0.30
## 16 5.7 4.4 1.5 0.4 setosa 0.60
## 20 5.1 3.8 1.5 0.3 setosa 0.45
## 22 5.1 3.7 1.5 0.4 setosa 0.60
## 28 5.2 3.5 1.5 0.2 setosa 0.30
## 32 5.4 3.4 1.5 0.4 setosa 0.60
## 33 5.2 4.1 1.5 0.1 setosa 0.15
## 35 4.9 3.1 1.5 0.2 setosa 0.30
## 40 5.1 3.4 1.5 0.2 setosa 0.30
## 49 5.3 3.7 1.5 0.2 setosa 0.30
## 12 4.8 3.4 1.6 0.2 setosa 0.32
## 26 5.0 3.0 1.6 0.2 setosa 0.32
## 27 5.0 3.4 1.6 0.4 setosa 0.64
## 30 4.7 3.2 1.6 0.2 setosa 0.32
## 31 4.8 3.1 1.6 0.2 setosa 0.32
## 44 5.0 3.5 1.6 0.6 setosa 0.96
## 47 5.1 3.8 1.6 0.2 setosa 0.32
## 6 5.4 3.9 1.7 0.4 setosa 0.68
## 19 5.7 3.8 1.7 0.3 setosa 0.51
## 21 5.4 3.4 1.7 0.2 setosa 0.34
## 24 5.1 3.3 1.7 0.5 setosa 0.85
## 25 4.8 3.4 1.9 0.2 setosa 0.38
## 45 5.1 3.8 1.9 0.4 setosa 0.76
## 99 5.1 2.5 3.0 1.1 versicolor 3.30
## 58 4.9 2.4 3.3 1.0 versicolor 3.30
## 94 5.0 2.3 3.3 1.0 versicolor 3.30
## 61 5.0 2.0 3.5 1.0 versicolor 3.50
## 80 5.7 2.6 3.5 1.0 versicolor 3.50
## 65 5.6 2.9 3.6 1.3 versicolor 4.68
## 82 5.5 2.4 3.7 1.0 versicolor 3.70
## 81 5.5 2.4 3.8 1.1 versicolor 4.18
## 60 5.2 2.7 3.9 1.4 versicolor 5.46
## 70 5.6 2.5 3.9 1.1 versicolor 4.29
## 83 5.8 2.7 3.9 1.2 versicolor 4.68
## 54 5.5 2.3 4.0 1.3 versicolor 5.20
## 63 6.0 2.2 4.0 1.0 versicolor 4.00
## 72 6.1 2.8 4.0 1.3 versicolor 5.20
## 90 5.5 2.5 4.0 1.3 versicolor 5.20
## 93 5.8 2.6 4.0 1.2 versicolor 4.80
## 68 5.8 2.7 4.1 1.0 versicolor 4.10
## 89 5.6 3.0 4.1 1.3 versicolor 5.33
## 100 5.7 2.8 4.1 1.3 versicolor 5.33
## 62 5.9 3.0 4.2 1.5 versicolor 6.30
## 95 5.6 2.7 4.2 1.3 versicolor 5.46
## 96 5.7 3.0 4.2 1.2 versicolor 5.04
## 97 5.7 2.9 4.2 1.3 versicolor 5.46
## 75 6.4 2.9 4.3 1.3 versicolor 5.59
## 98 6.2 2.9 4.3 1.3 versicolor 5.59
## 66 6.7 3.1 4.4 1.4 versicolor 6.16
## 76 6.6 3.0 4.4 1.4 versicolor 6.16
## 88 6.3 2.3 4.4 1.3 versicolor 5.72
## 91 5.5 2.6 4.4 1.2 versicolor 5.28
## 52 6.4 3.2 4.5 1.5 versicolor 6.75
## 56 5.7 2.8 4.5 1.3 versicolor 5.85
## 67 5.6 3.0 4.5 1.5 versicolor 6.75
## 69 6.2 2.2 4.5 1.5 versicolor 6.75
## 79 6.0 2.9 4.5 1.5 versicolor 6.75
## 85 5.4 3.0 4.5 1.5 versicolor 6.75
## 86 6.0 3.4 4.5 1.6 versicolor 7.20
## 107 4.9 2.5 4.5 1.7 virginica 7.65
## 55 6.5 2.8 4.6 1.5 versicolor 6.90
## 59 6.6 2.9 4.6 1.3 versicolor 5.98
## 92 6.1 3.0 4.6 1.4 versicolor 6.44
## 51 7.0 3.2 4.7 1.4 versicolor 6.58
## 57 6.3 3.3 4.7 1.6 versicolor 7.52
## 64 6.1 2.9 4.7 1.4 versicolor 6.58
## 74 6.1 2.8 4.7 1.2 versicolor 5.64
## 87 6.7 3.1 4.7 1.5 versicolor 7.05
## 71 5.9 3.2 4.8 1.8 versicolor 8.64
## 77 6.8 2.8 4.8 1.4 versicolor 6.72
## 127 6.2 2.8 4.8 1.8 virginica 8.64
## 139 6.0 3.0 4.8 1.8 virginica 8.64
## 53 6.9 3.1 4.9 1.5 versicolor 7.35
## 73 6.3 2.5 4.9 1.5 versicolor 7.35
## 122 5.6 2.8 4.9 2.0 virginica 9.80
## 124 6.3 2.7 4.9 1.8 virginica 8.82
## 128 6.1 3.0 4.9 1.8 virginica 8.82
## 78 6.7 3.0 5.0 1.7 versicolor 8.50
## 114 5.7 2.5 5.0 2.0 virginica 10.00
## 120 6.0 2.2 5.0 1.5 virginica 7.50
## 147 6.3 2.5 5.0 1.9 virginica 9.50
## 84 6.0 2.7 5.1 1.6 versicolor 8.16
## 102 5.8 2.7 5.1 1.9 virginica 9.69
## 111 6.5 3.2 5.1 2.0 virginica 10.20
## 115 5.8 2.8 5.1 2.4 virginica 12.24
## 134 6.3 2.8 5.1 1.5 virginica 7.65
## 142 6.9 3.1 5.1 2.3 virginica 11.73
## 143 5.8 2.7 5.1 1.9 virginica 9.69
## 150 5.9 3.0 5.1 1.8 virginica 9.18
## 146 6.7 3.0 5.2 2.3 virginica 11.96
## 148 6.5 3.0 5.2 2.0 virginica 10.40
## 112 6.4 2.7 5.3 1.9 virginica 10.07
## 116 6.4 3.2 5.3 2.3 virginica 12.19
## 140 6.9 3.1 5.4 2.1 virginica 11.34
## 149 6.2 3.4 5.4 2.3 virginica 12.42
## 113 6.8 3.0 5.5 2.1 virginica 11.55
## 117 6.5 3.0 5.5 1.8 virginica 9.90
## 138 6.4 3.1 5.5 1.8 virginica 9.90
## 104 6.3 2.9 5.6 1.8 virginica 10.08
## 129 6.4 2.8 5.6 2.1 virginica 11.76
## 133 6.4 2.8 5.6 2.2 virginica 12.32
## 135 6.1 2.6 5.6 1.4 virginica 7.84
## 137 6.3 3.4 5.6 2.4 virginica 13.44
## 141 6.7 3.1 5.6 2.4 virginica 13.44
## 121 6.9 3.2 5.7 2.3 virginica 13.11
## 125 6.7 3.3 5.7 2.1 virginica 11.97
## 145 6.7 3.3 5.7 2.5 virginica 14.25
## 105 6.5 3.0 5.8 2.2 virginica 12.76
## 109 6.7 2.5 5.8 1.8 virginica 10.44
## 130 7.2 3.0 5.8 1.6 virginica 9.28
## 103 7.1 3.0 5.9 2.1 virginica 12.39
## 144 6.8 3.2 5.9 2.3 virginica 13.57
## 101 6.3 3.3 6.0 2.5 virginica 15.00
## 126 7.2 3.2 6.0 1.8 virginica 10.80
## 110 7.2 3.6 6.1 2.5 virginica 15.25
## 131 7.4 2.8 6.1 1.9 virginica 11.59
## 136 7.7 3.0 6.1 2.3 virginica 14.03
## 108 7.3 2.9 6.3 1.8 virginica 11.34
## 132 7.9 3.8 6.4 2.0 virginica 12.80
## 106 7.6 3.0 6.6 2.1 virginica 13.86
## 118 7.7 3.8 6.7 2.2 virginica 14.74
## 123 7.7 2.8 6.7 2.0 virginica 13.40
## 119 7.7 2.6 6.9 2.3 virginica 15.87
head(petallength.ord)
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species Petal.LW
## 23 4.6 3.6 1.0 0.2 setosa 0.20
## 14 4.3 3.0 1.1 0.1 setosa 0.11
## 15 5.8 4.0 1.2 0.2 setosa 0.24
## 36 5.0 3.2 1.2 0.2 setosa 0.24
## 3 4.7 3.2 1.3 0.2 setosa 0.26
## 17 5.4 3.9 1.3 0.4 setosa 0.52
tail(petallength.ord)
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species Petal.LW
## 108 7.3 2.9 6.3 1.8 virginica 11.34
## 132 7.9 3.8 6.4 2.0 virginica 12.80
## 106 7.6 3.0 6.6 2.1 virginica 13.86
## 118 7.7 3.8 6.7 2.2 virginica 14.74
## 123 7.7 2.8 6.7 2.0 virginica 13.40
## 119 7.7 2.6 6.9 2.3 virginica 15.87
petallength.ord.rev = iris2[order(iris2$Petal.Length, decreasing=TRUE),] #Reverse order by length
petallength.ord.rev
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species Petal.LW
## 119 7.7 2.6 6.9 2.3 virginica 15.87
## 118 7.7 3.8 6.7 2.2 virginica 14.74
## 123 7.7 2.8 6.7 2.0 virginica 13.40
## 106 7.6 3.0 6.6 2.1 virginica 13.86
## 132 7.9 3.8 6.4 2.0 virginica 12.80
## 108 7.3 2.9 6.3 1.8 virginica 11.34
## 110 7.2 3.6 6.1 2.5 virginica 15.25
## 131 7.4 2.8 6.1 1.9 virginica 11.59
## 136 7.7 3.0 6.1 2.3 virginica 14.03
## 101 6.3 3.3 6.0 2.5 virginica 15.00
## 126 7.2 3.2 6.0 1.8 virginica 10.80
## 103 7.1 3.0 5.9 2.1 virginica 12.39
## 144 6.8 3.2 5.9 2.3 virginica 13.57
## 105 6.5 3.0 5.8 2.2 virginica 12.76
## 109 6.7 2.5 5.8 1.8 virginica 10.44
## 130 7.2 3.0 5.8 1.6 virginica 9.28
## 121 6.9 3.2 5.7 2.3 virginica 13.11
## 125 6.7 3.3 5.7 2.1 virginica 11.97
## 145 6.7 3.3 5.7 2.5 virginica 14.25
## 104 6.3 2.9 5.6 1.8 virginica 10.08
## 129 6.4 2.8 5.6 2.1 virginica 11.76
## 133 6.4 2.8 5.6 2.2 virginica 12.32
## 135 6.1 2.6 5.6 1.4 virginica 7.84
## 137 6.3 3.4 5.6 2.4 virginica 13.44
## 141 6.7 3.1 5.6 2.4 virginica 13.44
## 113 6.8 3.0 5.5 2.1 virginica 11.55
## 117 6.5 3.0 5.5 1.8 virginica 9.90
## 138 6.4 3.1 5.5 1.8 virginica 9.90
## 140 6.9 3.1 5.4 2.1 virginica 11.34
## 149 6.2 3.4 5.4 2.3 virginica 12.42
## 112 6.4 2.7 5.3 1.9 virginica 10.07
## 116 6.4 3.2 5.3 2.3 virginica 12.19
## 146 6.7 3.0 5.2 2.3 virginica 11.96
## 148 6.5 3.0 5.2 2.0 virginica 10.40
## 84 6.0 2.7 5.1 1.6 versicolor 8.16
## 102 5.8 2.7 5.1 1.9 virginica 9.69
## 111 6.5 3.2 5.1 2.0 virginica 10.20
## 115 5.8 2.8 5.1 2.4 virginica 12.24
## 134 6.3 2.8 5.1 1.5 virginica 7.65
## 142 6.9 3.1 5.1 2.3 virginica 11.73
## 143 5.8 2.7 5.1 1.9 virginica 9.69
## 150 5.9 3.0 5.1 1.8 virginica 9.18
## 78 6.7 3.0 5.0 1.7 versicolor 8.50
## 114 5.7 2.5 5.0 2.0 virginica 10.00
## 120 6.0 2.2 5.0 1.5 virginica 7.50
## 147 6.3 2.5 5.0 1.9 virginica 9.50
## 53 6.9 3.1 4.9 1.5 versicolor 7.35
## 73 6.3 2.5 4.9 1.5 versicolor 7.35
## 122 5.6 2.8 4.9 2.0 virginica 9.80
## 124 6.3 2.7 4.9 1.8 virginica 8.82
## 128 6.1 3.0 4.9 1.8 virginica 8.82
## 71 5.9 3.2 4.8 1.8 versicolor 8.64
## 77 6.8 2.8 4.8 1.4 versicolor 6.72
## 127 6.2 2.8 4.8 1.8 virginica 8.64
## 139 6.0 3.0 4.8 1.8 virginica 8.64
## 51 7.0 3.2 4.7 1.4 versicolor 6.58
## 57 6.3 3.3 4.7 1.6 versicolor 7.52
## 64 6.1 2.9 4.7 1.4 versicolor 6.58
## 74 6.1 2.8 4.7 1.2 versicolor 5.64
## 87 6.7 3.1 4.7 1.5 versicolor 7.05
## 55 6.5 2.8 4.6 1.5 versicolor 6.90
## 59 6.6 2.9 4.6 1.3 versicolor 5.98
## 92 6.1 3.0 4.6 1.4 versicolor 6.44
## 52 6.4 3.2 4.5 1.5 versicolor 6.75
## 56 5.7 2.8 4.5 1.3 versicolor 5.85
## 67 5.6 3.0 4.5 1.5 versicolor 6.75
## 69 6.2 2.2 4.5 1.5 versicolor 6.75
## 79 6.0 2.9 4.5 1.5 versicolor 6.75
## 85 5.4 3.0 4.5 1.5 versicolor 6.75
## 86 6.0 3.4 4.5 1.6 versicolor 7.20
## 107 4.9 2.5 4.5 1.7 virginica 7.65
## 66 6.7 3.1 4.4 1.4 versicolor 6.16
## 76 6.6 3.0 4.4 1.4 versicolor 6.16
## 88 6.3 2.3 4.4 1.3 versicolor 5.72
## 91 5.5 2.6 4.4 1.2 versicolor 5.28
## 75 6.4 2.9 4.3 1.3 versicolor 5.59
## 98 6.2 2.9 4.3 1.3 versicolor 5.59
## 62 5.9 3.0 4.2 1.5 versicolor 6.30
## 95 5.6 2.7 4.2 1.3 versicolor 5.46
## 96 5.7 3.0 4.2 1.2 versicolor 5.04
## 97 5.7 2.9 4.2 1.3 versicolor 5.46
## 68 5.8 2.7 4.1 1.0 versicolor 4.10
## 89 5.6 3.0 4.1 1.3 versicolor 5.33
## 100 5.7 2.8 4.1 1.3 versicolor 5.33
## 54 5.5 2.3 4.0 1.3 versicolor 5.20
## 63 6.0 2.2 4.0 1.0 versicolor 4.00
## 72 6.1 2.8 4.0 1.3 versicolor 5.20
## 90 5.5 2.5 4.0 1.3 versicolor 5.20
## 93 5.8 2.6 4.0 1.2 versicolor 4.80
## 60 5.2 2.7 3.9 1.4 versicolor 5.46
## 70 5.6 2.5 3.9 1.1 versicolor 4.29
## 83 5.8 2.7 3.9 1.2 versicolor 4.68
## 81 5.5 2.4 3.8 1.1 versicolor 4.18
## 82 5.5 2.4 3.7 1.0 versicolor 3.70
## 65 5.6 2.9 3.6 1.3 versicolor 4.68
## 61 5.0 2.0 3.5 1.0 versicolor 3.50
## 80 5.7 2.6 3.5 1.0 versicolor 3.50
## 58 4.9 2.4 3.3 1.0 versicolor 3.30
## 94 5.0 2.3 3.3 1.0 versicolor 3.30
## 99 5.1 2.5 3.0 1.1 versicolor 3.30
## 25 4.8 3.4 1.9 0.2 setosa 0.38
## 45 5.1 3.8 1.9 0.4 setosa 0.76
## 6 5.4 3.9 1.7 0.4 setosa 0.68
## 19 5.7 3.8 1.7 0.3 setosa 0.51
## 21 5.4 3.4 1.7 0.2 setosa 0.34
## 24 5.1 3.3 1.7 0.5 setosa 0.85
## 12 4.8 3.4 1.6 0.2 setosa 0.32
## 26 5.0 3.0 1.6 0.2 setosa 0.32
## 27 5.0 3.4 1.6 0.4 setosa 0.64
## 30 4.7 3.2 1.6 0.2 setosa 0.32
## 31 4.8 3.1 1.6 0.2 setosa 0.32
## 44 5.0 3.5 1.6 0.6 setosa 0.96
## 47 5.1 3.8 1.6 0.2 setosa 0.32
## 4 4.6 3.1 1.5 0.2 setosa 0.30
## 8 5.0 3.4 1.5 0.2 setosa 0.30
## 10 4.9 3.1 1.5 0.1 setosa 0.15
## 11 5.4 3.7 1.5 0.2 setosa 0.30
## 16 5.7 4.4 1.5 0.4 setosa 0.60
## 20 5.1 3.8 1.5 0.3 setosa 0.45
## 22 5.1 3.7 1.5 0.4 setosa 0.60
## 28 5.2 3.5 1.5 0.2 setosa 0.30
## 32 5.4 3.4 1.5 0.4 setosa 0.60
## 33 5.2 4.1 1.5 0.1 setosa 0.15
## 35 4.9 3.1 1.5 0.2 setosa 0.30
## 40 5.1 3.4 1.5 0.2 setosa 0.30
## 49 5.3 3.7 1.5 0.2 setosa 0.30
## 1 5.1 3.5 1.4 0.2 setosa 0.28
## 2 4.9 3.0 1.4 0.2 setosa 0.28
## 5 5.0 3.6 1.4 0.2 setosa 0.28
## 7 4.6 3.4 1.4 0.3 setosa 0.42
## 9 4.4 2.9 1.4 0.2 setosa 0.28
## 13 4.8 3.0 1.4 0.1 setosa 0.14
## 18 5.1 3.5 1.4 0.3 setosa 0.42
## 29 5.2 3.4 1.4 0.2 setosa 0.28
## 34 5.5 4.2 1.4 0.2 setosa 0.28
## 38 4.9 3.6 1.4 0.1 setosa 0.14
## 46 4.8 3.0 1.4 0.3 setosa 0.42
## 48 4.6 3.2 1.4 0.2 setosa 0.28
## 50 5.0 3.3 1.4 0.2 setosa 0.28
## 3 4.7 3.2 1.3 0.2 setosa 0.26
## 17 5.4 3.9 1.3 0.4 setosa 0.52
## 37 5.5 3.5 1.3 0.2 setosa 0.26
## 39 4.4 3.0 1.3 0.2 setosa 0.26
## 41 5.0 3.5 1.3 0.3 setosa 0.39
## 42 4.5 2.3 1.3 0.3 setosa 0.39
## 43 4.4 3.2 1.3 0.2 setosa 0.26
## 15 5.8 4.0 1.2 0.2 setosa 0.24
## 36 5.0 3.2 1.2 0.2 setosa 0.24
## 14 4.3 3.0 1.1 0.1 setosa 0.11
## 23 4.6 3.6 1.0 0.2 setosa 0.20
Subsetting Data Sets
sub_and = subset(iris2, Species%in%c('virginica','setosa')&Sepal.Length>5) #Subset as all virginica and sotasa that has sepal length greater than 5
sub_and
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species Petal.LW
## 1 5.1 3.5 1.4 0.2 setosa 0.28
## 6 5.4 3.9 1.7 0.4 setosa 0.68
## 11 5.4 3.7 1.5 0.2 setosa 0.30
## 15 5.8 4.0 1.2 0.2 setosa 0.24
## 16 5.7 4.4 1.5 0.4 setosa 0.60
## 17 5.4 3.9 1.3 0.4 setosa 0.52
## 18 5.1 3.5 1.4 0.3 setosa 0.42
## 19 5.7 3.8 1.7 0.3 setosa 0.51
## 20 5.1 3.8 1.5 0.3 setosa 0.45
## 21 5.4 3.4 1.7 0.2 setosa 0.34
## 22 5.1 3.7 1.5 0.4 setosa 0.60
## 24 5.1 3.3 1.7 0.5 setosa 0.85
## 28 5.2 3.5 1.5 0.2 setosa 0.30
## 29 5.2 3.4 1.4 0.2 setosa 0.28
## 32 5.4 3.4 1.5 0.4 setosa 0.60
## 33 5.2 4.1 1.5 0.1 setosa 0.15
## 34 5.5 4.2 1.4 0.2 setosa 0.28
## 37 5.5 3.5 1.3 0.2 setosa 0.26
## 40 5.1 3.4 1.5 0.2 setosa 0.30
## 45 5.1 3.8 1.9 0.4 setosa 0.76
## 47 5.1 3.8 1.6 0.2 setosa 0.32
## 49 5.3 3.7 1.5 0.2 setosa 0.30
## 101 6.3 3.3 6.0 2.5 virginica 15.00
## 102 5.8 2.7 5.1 1.9 virginica 9.69
## 103 7.1 3.0 5.9 2.1 virginica 12.39
## 104 6.3 2.9 5.6 1.8 virginica 10.08
## 105 6.5 3.0 5.8 2.2 virginica 12.76
## 106 7.6 3.0 6.6 2.1 virginica 13.86
## 108 7.3 2.9 6.3 1.8 virginica 11.34
## 109 6.7 2.5 5.8 1.8 virginica 10.44
## 110 7.2 3.6 6.1 2.5 virginica 15.25
## 111 6.5 3.2 5.1 2.0 virginica 10.20
## 112 6.4 2.7 5.3 1.9 virginica 10.07
## 113 6.8 3.0 5.5 2.1 virginica 11.55
## 114 5.7 2.5 5.0 2.0 virginica 10.00
## 115 5.8 2.8 5.1 2.4 virginica 12.24
## 116 6.4 3.2 5.3 2.3 virginica 12.19
## 117 6.5 3.0 5.5 1.8 virginica 9.90
## 118 7.7 3.8 6.7 2.2 virginica 14.74
## 119 7.7 2.6 6.9 2.3 virginica 15.87
## 120 6.0 2.2 5.0 1.5 virginica 7.50
## 121 6.9 3.2 5.7 2.3 virginica 13.11
## 122 5.6 2.8 4.9 2.0 virginica 9.80
## 123 7.7 2.8 6.7 2.0 virginica 13.40
## 124 6.3 2.7 4.9 1.8 virginica 8.82
## 125 6.7 3.3 5.7 2.1 virginica 11.97
## 126 7.2 3.2 6.0 1.8 virginica 10.80
## 127 6.2 2.8 4.8 1.8 virginica 8.64
## 128 6.1 3.0 4.9 1.8 virginica 8.82
## 129 6.4 2.8 5.6 2.1 virginica 11.76
## 130 7.2 3.0 5.8 1.6 virginica 9.28
## 131 7.4 2.8 6.1 1.9 virginica 11.59
## 132 7.9 3.8 6.4 2.0 virginica 12.80
## 133 6.4 2.8 5.6 2.2 virginica 12.32
## 134 6.3 2.8 5.1 1.5 virginica 7.65
## 135 6.1 2.6 5.6 1.4 virginica 7.84
## 136 7.7 3.0 6.1 2.3 virginica 14.03
## 137 6.3 3.4 5.6 2.4 virginica 13.44
## 138 6.4 3.1 5.5 1.8 virginica 9.90
## 139 6.0 3.0 4.8 1.8 virginica 8.64
## 140 6.9 3.1 5.4 2.1 virginica 11.34
## 141 6.7 3.1 5.6 2.4 virginica 13.44
## 142 6.9 3.1 5.1 2.3 virginica 11.73
## 143 5.8 2.7 5.1 1.9 virginica 9.69
## 144 6.8 3.2 5.9 2.3 virginica 13.57
## 145 6.7 3.3 5.7 2.5 virginica 14.25
## 146 6.7 3.0 5.2 2.3 virginica 11.96
## 147 6.3 2.5 5.0 1.9 virginica 9.50
## 148 6.5 3.0 5.2 2.0 virginica 10.40
## 149 6.2 3.4 5.4 2.3 virginica 12.42
## 150 5.9 3.0 5.1 1.8 virginica 9.18
sub_or = subset(iris2, Species%in%c('versicolor')|(Petal.Width<2&Petal.Width>1)) #Subset of all versicolor or those with petal width between 1 and 2
sub_or
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species Petal.LW
## 51 7.0 3.2 4.7 1.4 versicolor 6.58
## 52 6.4 3.2 4.5 1.5 versicolor 6.75
## 53 6.9 3.1 4.9 1.5 versicolor 7.35
## 54 5.5 2.3 4.0 1.3 versicolor 5.20
## 55 6.5 2.8 4.6 1.5 versicolor 6.90
## 56 5.7 2.8 4.5 1.3 versicolor 5.85
## 57 6.3 3.3 4.7 1.6 versicolor 7.52
## 58 4.9 2.4 3.3 1.0 versicolor 3.30
## 59 6.6 2.9 4.6 1.3 versicolor 5.98
## 60 5.2 2.7 3.9 1.4 versicolor 5.46
## 61 5.0 2.0 3.5 1.0 versicolor 3.50
## 62 5.9 3.0 4.2 1.5 versicolor 6.30
## 63 6.0 2.2 4.0 1.0 versicolor 4.00
## 64 6.1 2.9 4.7 1.4 versicolor 6.58
## 65 5.6 2.9 3.6 1.3 versicolor 4.68
## 66 6.7 3.1 4.4 1.4 versicolor 6.16
## 67 5.6 3.0 4.5 1.5 versicolor 6.75
## 68 5.8 2.7 4.1 1.0 versicolor 4.10
## 69 6.2 2.2 4.5 1.5 versicolor 6.75
## 70 5.6 2.5 3.9 1.1 versicolor 4.29
## 71 5.9 3.2 4.8 1.8 versicolor 8.64
## 72 6.1 2.8 4.0 1.3 versicolor 5.20
## 73 6.3 2.5 4.9 1.5 versicolor 7.35
## 74 6.1 2.8 4.7 1.2 versicolor 5.64
## 75 6.4 2.9 4.3 1.3 versicolor 5.59
## 76 6.6 3.0 4.4 1.4 versicolor 6.16
## 77 6.8 2.8 4.8 1.4 versicolor 6.72
## 78 6.7 3.0 5.0 1.7 versicolor 8.50
## 79 6.0 2.9 4.5 1.5 versicolor 6.75
## 80 5.7 2.6 3.5 1.0 versicolor 3.50
## 81 5.5 2.4 3.8 1.1 versicolor 4.18
## 82 5.5 2.4 3.7 1.0 versicolor 3.70
## 83 5.8 2.7 3.9 1.2 versicolor 4.68
## 84 6.0 2.7 5.1 1.6 versicolor 8.16
## 85 5.4 3.0 4.5 1.5 versicolor 6.75
## 86 6.0 3.4 4.5 1.6 versicolor 7.20
## 87 6.7 3.1 4.7 1.5 versicolor 7.05
## 88 6.3 2.3 4.4 1.3 versicolor 5.72
## 89 5.6 3.0 4.1 1.3 versicolor 5.33
## 90 5.5 2.5 4.0 1.3 versicolor 5.20
## 91 5.5 2.6 4.4 1.2 versicolor 5.28
## 92 6.1 3.0 4.6 1.4 versicolor 6.44
## 93 5.8 2.6 4.0 1.2 versicolor 4.80
## 94 5.0 2.3 3.3 1.0 versicolor 3.30
## 95 5.6 2.7 4.2 1.3 versicolor 5.46
## 96 5.7 3.0 4.2 1.2 versicolor 5.04
## 97 5.7 2.9 4.2 1.3 versicolor 5.46
## 98 6.2 2.9 4.3 1.3 versicolor 5.59
## 99 5.1 2.5 3.0 1.1 versicolor 3.30
## 100 5.7 2.8 4.1 1.3 versicolor 5.33
## 102 5.8 2.7 5.1 1.9 virginica 9.69
## 104 6.3 2.9 5.6 1.8 virginica 10.08
## 107 4.9 2.5 4.5 1.7 virginica 7.65
## 108 7.3 2.9 6.3 1.8 virginica 11.34
## 109 6.7 2.5 5.8 1.8 virginica 10.44
## 112 6.4 2.7 5.3 1.9 virginica 10.07
## 117 6.5 3.0 5.5 1.8 virginica 9.90
## 120 6.0 2.2 5.0 1.5 virginica 7.50
## 124 6.3 2.7 4.9 1.8 virginica 8.82
## 126 7.2 3.2 6.0 1.8 virginica 10.80
## 127 6.2 2.8 4.8 1.8 virginica 8.64
## 128 6.1 3.0 4.9 1.8 virginica 8.82
## 130 7.2 3.0 5.8 1.6 virginica 9.28
## 131 7.4 2.8 6.1 1.9 virginica 11.59
## 134 6.3 2.8 5.1 1.5 virginica 7.65
## 135 6.1 2.6 5.6 1.4 virginica 7.84
## 138 6.4 3.1 5.5 1.8 virginica 9.90
## 139 6.0 3.0 4.8 1.8 virginica 8.64
## 143 5.8 2.7 5.1 1.9 virginica 9.69
## 147 6.3 2.5 5.0 1.9 virginica 9.50
## 150 5.9 3.0 5.1 1.8 virginica 9.18
Graphing
Plot & Format Petal W ~ L
plot(iris2$Petal.Length,iris2$Petal.Width)
plot(Petal.Width~Petal.Length,data=iris2)
plot(iris2$Petal.Length,iris2$Petal.Width,pch=19)
plot(iris$Petal.Length,iris$Petal.Width,pch=19,col='seagreen3')
plot(iris2$Petal.Length,iris2$Petal.Width,pch=19,col='seagreen3',xlab='Petal Length',ylab='Petal Width')
plot(iris2$Petal.Length,iris2$Petal.Width,pch=19,col='seagreen3',xlab='Petal Length',ylab='Petal Width', main='Petal Width vs Length')
boxplot(Petal.Length~Species,data=iris)
#?boxplot
boxplot(Petal.Length~Species,data=iris2,col='seagreen3',xlab='Species',ylab='Petal Length',main='Boxplot of Petal Length by Species')
hist(iris2$Petal.Length)
hist(iris2$Petal.Length, col='seagreen3',xlab='Petal Length',main='Histogram of Petal Length')
tablen <- table(iris2$Petal.Length)
tablen
##
## 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.9 3 3.3 3.5 3.6 3.7 3.8 3.9 4 4.1 4.2 4.3
## 1 1 2 7 13 13 7 4 2 1 2 2 1 1 1 3 5 3 4 2
## 4.4 4.5 4.6 4.7 4.8 4.9 5 5.1 5.2 5.3 5.4 5.5 5.6 5.7 5.8 5.9 6 6.1 6.3 6.4
## 4 8 3 5 4 5 4 8 2 2 2 3 6 3 3 2 2 3 1 1
## 6.6 6.7 6.9
## 1 2 1
barplot(tablen) #Better for categorical variables due to difference in intervals
barplot(tablen, col='seagreen3',xlab='Petal Length',ylab='Count',main='Frequency of Petal Length')
stem(iris2$Petal.Length)
##
## The decimal point is at the |
##
## 1 | 012233333334444444444444
## 1 | 55555555555556666666777799
## 2 |
## 2 |
## 3 | 033
## 3 | 55678999
## 4 | 000001112222334444
## 4 | 5555555566677777888899999
## 5 | 000011111111223344
## 5 | 55566666677788899
## 6 | 0011134
## 6 | 6779
Creating plots with lines of best fit and correlation value
plot(Sepal.Width~Sepal.Length,data=iris2,xlab='Sepal Length',ylab='Sepal Width',main='Sepal Width vs Length', pch=19,col='violetred4')
plot(Sepal.Width~Sepal.Length,data=iris2,xlab='Sepal Length',ylab='Sepal Width',main='Sepal Width vs Length', pch=19,col='violetred4')+
abline(lm(Sepal.Width~Sepal.Length,data=iris2)) #Creates line of best fit
## integer(0)
#?abline
cor(iris2$Sepal.Length,iris2$Sepal.Width) #Correlation value and slope of fit line
## [1] -0.1175698
corval=round(cor(iris2$Sepal.Length,iris2$Sepal.Width),2)
corval
## [1] -0.12
plot(Sepal.Width~Sepal.Length,data=iris2,xlab='Sepal Length',ylab='Sepal Width',main='Sepal Width vs Length', pch=19,col='violetred4')+ #You can add things to previous functions with +
abline(lm(Sepal.Width~Sepal.Length,data=iris2))+
text(7.5,2.25,corval)
## integer(0)
plot(Sepal.Width~Sepal.Length,data=iris2,xlab='Sepal Length',ylab='Sepal Width',main='Sepal Width vs Length', pch=19,col='violetred4')+
abline(lm(Sepal.Width~Sepal.Length,data=iris2))+
text(7.5,2.25,'Howdy!',cex=1.5)
## integer(0)
Imported Data
DRWS_LC <- read.csv("WPF_DRWS_LandCover_Area.csv") #Reading a csv file to import from directory
#View(DRWS_LC)
ct <- DRWS_LC$County
st <- DRWS_LC$State
lc <- DRWS_LC$Landcover
ar <- DRWS_LC$Area
ar1 <- as.numeric(ar) #Forcing a field to be read as numeric because it was defined as character for some reason
## Warning: NAs introduced by coercion
sum(ar1[(lc=='Mixed Forest')]) #Sum of area with lc = mixed forest
## [1] 3414522478
sum(ar1[(lc== 'Deciduous Forest')])+sum(ar1[(lc=='Evergreen Forest')])+sum(ar1[(lc== 'Mixed Forest')])+sum(ar1[(lc== 'Woody Wetlands')]) #Sum of area for all forest types
## [1] 18541629154
sum(ar1[(lc== 'Deciduous Forest')&(st=='DE')&(ct=='Sussex')])+sum(ar1[(lc=='Evergreen Forest')])+sum(ar1[(lc== 'Mixed Forest')])+sum(ar1[(lc== 'Woody Wetlands')]) #Sum of area for all forest types in Sussex county, DE
## [1] 6459424548
agg1 <- aggregate(ar1 ~ st + ct + lc, FUN=sum) #Aggregating all forest area for each state, county, and land cover class
agg1
## st ct lc ar1
## 1 NJ Atlantic Barren Land 9.234821e+02
## 2 PA Berks Barren Land 4.942403e+06
## 3 NY Broome Barren Land 2.270297e+05
## 4 PA Bucks Barren Land 7.328738e+06
## 5 NJ Burlington Barren Land 5.093682e+06
## 6 NJ Camden Barren Land 1.699650e+06
## 7 NJ CapeMay Barren Land 1.122887e+06
## 8 PA Carbon Barren Land 9.096759e+06
## 9 NY Chenango Barren Land 3.678709e+03
## 10 PA Chester Barren Land 1.457722e+06
## 11 NJ Cumberland Barren Land 1.032491e+07
## 12 NY Delaware Barren Land 8.626085e+06
## 13 PA Delaware Barren Land 9.252921e+05
## 14 NJ Gloucester Barren Land 1.367307e+06
## 15 NJ Hunterdon Barren Land 6.251272e+05
## 16 DE Kent Barren Land 1.830845e+06
## 17 PA Lackawanna Barren Land 2.137849e+05
## 18 PA Lancaster Barren Land 8.925442e+04
## 19 PA Lebanon Barren Land 3.070160e+05
## 20 PA Lehigh Barren Land 1.592718e+06
## 21 PA Luzerne Barren Land 8.464877e+06
## 22 NJ Mercer Barren Land 5.676884e+05
## 23 NJ Monmouth Barren Land 8.922047e+04
## 24 PA Monroe Barren Land 3.965720e+06
## 25 PA Montgomery Barren Land 3.380539e+06
## 26 NJ Morris Barren Land 8.258275e+05
## 27 DE NewCastle Barren Land 2.213634e+06
## 28 PA Northampton Barren Land 5.747385e+06
## 29 NJ Ocean Barren Land 3.221742e+06
## 30 NY Orange Barren Land 3.971416e+05
## 31 PA Philadelphia Barren Land 7.115112e+05
## 32 PA Pike Barren Land 1.981520e+06
## 33 NJ Salem Barren Land 1.063237e+06
## 34 NY Schoharie Barren Land 9.225117e+02
## 35 PA Schuylkill Barren Land 1.987896e+07
## 36 NY Sullivan Barren Land 4.997742e+06
## 37 DE Sussex Barren Land 5.193634e+06
## 38 NJ Sussex Barren Land 2.619953e+06
## 39 NY Ulster Barren Land 4.954901e+03
## 40 NJ Warren Barren Land 2.208120e+06
## 41 PA Wayne Barren Land 3.205744e+06
## 42 NJ Atlantic Cultivated Crops 1.743310e+07
## 43 PA Berks Cultivated Crops 4.793779e+08
## 44 NY Broome Cultivated Crops 1.043091e+06
## 45 PA Bucks Cultivated Crops 9.389657e+07
## 46 NJ Burlington Cultivated Crops 2.489362e+08
## 47 NJ Camden Cultivated Crops 2.402755e+06
## 48 NJ CapeMay Cultivated Crops 1.901978e+07
## 49 PA Carbon Cultivated Crops 3.279109e+07
## 50 NY Chenango Cultivated Crops 1.615649e+02
## 51 PA Chester Cultivated Crops 1.525180e+08
## 52 NJ Cumberland Cultivated Crops 2.725432e+08
## 53 NY Delaware Cultivated Crops 7.966876e+06
## 54 PA Delaware Cultivated Crops 3.989040e+06
## 55 NJ Gloucester Cultivated Crops 1.704940e+08
## 56 NJ Hunterdon Cultivated Crops 3.405708e+07
## 57 DE Kent Cultivated Crops 4.609898e+08
## 58 PA Lackawanna Cultivated Crops 4.600208e+03
## 59 PA Lancaster Cultivated Crops 2.834323e+06
## 60 PA Lebanon Cultivated Crops 8.010656e+07
## 61 PA Lehigh Cultivated Crops 1.996299e+08
## 62 PA Luzerne Cultivated Crops 1.506366e+05
## 63 NJ Mercer Cultivated Crops 4.433527e+07
## 64 NJ Monmouth Cultivated Crops 6.439490e+07
## 65 PA Monroe Cultivated Crops 1.884615e+07
## 66 PA Montgomery Cultivated Crops 3.566001e+07
## 67 NJ Morris Cultivated Crops 1.890666e+06
## 68 DE NewCastle Cultivated Crops 2.006330e+08
## 69 PA Northampton Cultivated Crops 2.404836e+08
## 70 NJ Ocean Cultivated Crops 1.484336e+07
## 71 NY Orange Cultivated Crops 1.809515e+06
## 72 PA Philadelphia Cultivated Crops 1.456217e+06
## 73 PA Pike Cultivated Crops 4.136274e+06
## 74 NJ Salem Cultivated Crops 3.612890e+08
## 75 NY Schoharie Cultivated Crops 9.225439e+02
## 76 PA Schuylkill Cultivated Crops 7.149990e+07
## 77 NY Sullivan Cultivated Crops 3.058920e+06
## 78 DE Sussex Cultivated Crops 2.275990e+08
## 79 NJ Sussex Cultivated Crops 1.532441e+07
## 80 NJ Warren Cultivated Crops 1.287699e+08
## 81 PA Wayne Cultivated Crops 1.474868e+06
## 82 NJ Atlantic Deciduous Forest 6.974500e+06
## 83 PA Berks Deciduous Forest 6.799446e+08
## 84 NY Broome Deciduous Forest 1.133802e+08
## 85 PA Bucks Deciduous Forest 4.777945e+08
## 86 NJ Burlington Deciduous Forest 1.325977e+08
## 87 NJ Camden Deciduous Forest 2.580465e+07
## 88 NJ CapeMay Deciduous Forest 1.718184e+07
## 89 PA Carbon Deciduous Forest 5.426784e+08
## 90 NY Chenango Deciduous Forest 4.169407e+06
## 91 PA Chester Deciduous Forest 3.493197e+08
## 92 NJ Cumberland Deciduous Forest 1.322092e+08
## 93 NY Delaware Deciduous Forest 1.915464e+09
## 94 PA Delaware Deciduous Forest 1.107853e+08
## 95 NJ Gloucester Deciduous Forest 9.950285e+07
## 96 NY Greene Deciduous Forest 4.165198e+07
## 97 NJ Hunterdon Deciduous Forest 1.972549e+08
## 98 DE Kent Deciduous Forest 3.935592e+07
## 99 PA Lackawanna Deciduous Forest 1.155024e+08
## 100 PA Lancaster Deciduous Forest 2.551869e+06
## 101 PA Lebanon Deciduous Forest 1.606066e+07
## 102 PA Lehigh Deciduous Forest 2.455379e+08
## 103 PA Luzerne Deciduous Forest 2.507167e+08
## 104 NJ Mercer Deciduous Forest 5.238808e+07
## 105 NJ Monmouth Deciduous Forest 3.631706e+07
## 106 PA Monroe Deciduous Forest 8.884853e+08
## 107 PA Montgomery Deciduous Forest 2.382360e+08
## 108 NJ Morris Deciduous Forest 6.179744e+07
## 109 DE NewCastle Deciduous Forest 1.000715e+08
## 110 PA Northampton Deciduous Forest 2.881950e+08
## 111 NJ Ocean Deciduous Forest 2.212862e+07
## 112 NY Orange Deciduous Forest 1.151987e+08
## 113 PA Philadelphia Deciduous Forest 2.642544e+07
## 114 PA Pike Deciduous Forest 9.034536e+08
## 115 NJ Salem Deciduous Forest 6.666132e+07
## 116 NY Schoharie Deciduous Forest 6.028940e+06
## 117 PA Schuylkill Deciduous Forest 5.929828e+08
## 118 NY Sullivan Deciduous Forest 1.047246e+09
## 119 DE Sussex Deciduous Forest 2.213556e+07
## 120 NJ Sussex Deciduous Forest 4.569427e+08
## 121 NY Ulster Deciduous Forest 2.411654e+08
## 122 NJ Warren Deciduous Forest 4.606477e+08
## 123 PA Wayne Deciduous Forest 9.613944e+08
## 124 NJ Atlantic Developed, High Intensity 1.388297e+05
## 125 PA Berks Developed, High Intensity 2.287791e+07
## 126 NY Broome Developed, High Intensity 3.928066e+04
## 127 PA Bucks Developed, High Intensity 2.572743e+07
## 128 NJ Burlington Developed, High Intensity 2.476377e+07
## 129 NJ Camden Developed, High Intensity 2.198619e+07
## 130 NJ CapeMay Developed, High Intensity 9.113560e+05
## 131 PA Carbon Developed, High Intensity 2.312705e+06
## 132 PA Chester Developed, High Intensity 1.521977e+07
## 133 NJ Cumberland Developed, High Intensity 9.844841e+06
## 134 NY Delaware Developed, High Intensity 9.173567e+05
## 135 PA Delaware Developed, High Intensity 2.683954e+07
## 136 NJ Gloucester Developed, High Intensity 1.715436e+07
## 137 NJ Hunterdon Developed, High Intensity 6.521310e+05
## 138 DE Kent Developed, High Intensity 1.160505e+07
## 139 PA Lackawanna Developed, High Intensity 5.419638e+05
## 140 PA Lancaster Developed, High Intensity 1.348586e+04
## 141 PA Lebanon Developed, High Intensity 1.473239e+06
## 142 PA Lehigh Developed, High Intensity 2.368140e+07
## 143 PA Luzerne Developed, High Intensity 7.621085e+05
## 144 NJ Mercer Developed, High Intensity 1.659737e+07
## 145 NJ Monmouth Developed, High Intensity 2.651040e+05
## 146 PA Monroe Developed, High Intensity 5.799422e+06
## 147 PA Montgomery Developed, High Intensity 3.727622e+07
## 148 NJ Morris Developed, High Intensity 8.629994e+05
## 149 DE NewCastle Developed, High Intensity 3.649190e+07
## 150 PA Northampton Developed, High Intensity 1.612653e+07
## 151 NJ Ocean Developed, High Intensity 7.442604e+05
## 152 NY Orange Developed, High Intensity 6.652022e+05
## 153 PA Philadelphia Developed, High Intensity 1.009524e+08
## 154 PA Pike Developed, High Intensity 9.155291e+05
## 155 NJ Salem Developed, High Intensity 6.167656e+06
## 156 NY Schoharie Developed, High Intensity 3.746848e+02
## 157 PA Schuylkill Developed, High Intensity 5.775625e+06
## 158 NY Sullivan Developed, High Intensity 2.733607e+06
## 159 DE Sussex Developed, High Intensity 2.689618e+06
## 160 NJ Sussex Developed, High Intensity 1.493811e+06
## 161 NY Ulster Developed, High Intensity 9.230541e+02
## 162 NJ Warren Developed, High Intensity 3.931301e+06
## 163 PA Wayne Developed, High Intensity 1.330329e+06
## 164 NJ Atlantic Developed, Low Intensity 2.361951e+06
## 165 PA Berks Developed, Low Intensity 1.075466e+08
## 166 NY Broome Developed, Low Intensity 1.341355e+06
## 167 PA Bucks Developed, Low Intensity 1.785842e+08
## 168 NJ Burlington Developed, Low Intensity 1.480518e+08
## 169 NJ Camden Developed, Low Intensity 9.346478e+07
## 170 NJ CapeMay Developed, Low Intensity 1.575222e+07
## 171 PA Carbon Developed, Low Intensity 2.091093e+07
## 172 NY Chenango Developed, Low Intensity 7.946069e+03
## 173 PA Chester Developed, Low Intensity 9.939246e+07
## 174 NJ Cumberland Developed, Low Intensity 5.035919e+07
## 175 NY Delaware Developed, Low Intensity 1.347825e+07
## 176 PA Delaware Developed, Low Intensity 9.173836e+07
## 177 NJ Gloucester Developed, Low Intensity 8.901862e+07
## 178 NY Greene Developed, Low Intensity 2.427597e+04
## 179 NJ Hunterdon Developed, Low Intensity 7.831063e+06
## 180 DE Kent Developed, Low Intensity 5.199841e+07
## 181 PA Lackawanna Developed, Low Intensity 2.092999e+06
## 182 PA Lancaster Developed, Low Intensity 2.212969e+05
## 183 PA Lebanon Developed, Low Intensity 9.665597e+06
## 184 PA Lehigh Developed, Low Intensity 1.090450e+08
## 185 PA Luzerne Developed, Low Intensity 4.663453e+06
## 186 NJ Mercer Developed, Low Intensity 6.074760e+07
## 187 NJ Monmouth Developed, Low Intensity 5.979100e+06
## 188 PA Monroe Developed, Low Intensity 4.022222e+07
## 189 PA Montgomery Developed, Low Intensity 2.094912e+08
## 190 NJ Morris Developed, Low Intensity 6.929225e+06
## 191 DE NewCastle Developed, Low Intensity 1.374959e+08
## 192 PA Northampton Developed, Low Intensity 9.303901e+07
## 193 NJ Ocean Developed, Low Intensity 9.077319e+06
## 194 NY Orange Developed, Low Intensity 4.552171e+06
## 195 PA Philadelphia Developed, Low Intensity 5.079110e+07
## 196 PA Pike Developed, Low Intensity 1.430168e+07
## 197 NJ Salem Developed, Low Intensity 2.768597e+07
## 198 NY Schoharie Developed, Low Intensity 3.177694e+04
## 199 PA Schuylkill Developed, Low Intensity 3.199227e+07
## 200 NY Sullivan Developed, Low Intensity 2.393390e+07
## 201 DE Sussex Developed, Low Intensity 2.498031e+07
## 202 NJ Sussex Developed, Low Intensity 1.341087e+07
## 203 NY Ulster Developed, Low Intensity 1.335764e+05
## 204 NJ Warren Developed, Low Intensity 2.972778e+07
## 205 PA Wayne Developed, Low Intensity 1.349885e+07
## 206 NJ Atlantic Developed, Medium Intensity 8.481781e+05
## 207 PA Berks Developed, Medium Intensity 4.931341e+07
## 208 NY Broome Developed, Medium Intensity 2.594859e+05
## 209 PA Bucks Developed, Medium Intensity 7.575740e+07
## 210 NJ Burlington Developed, Medium Intensity 6.707543e+07
## 211 NJ Camden Developed, Medium Intensity 5.503466e+07
## 212 NJ CapeMay Developed, Medium Intensity 5.061656e+06
## 213 PA Carbon Developed, Medium Intensity 8.840506e+06
## 214 PA Chester Developed, Medium Intensity 5.118108e+07
## 215 NJ Cumberland Developed, Medium Intensity 2.304930e+07
## 216 NY Delaware Developed, Medium Intensity 3.156819e+06
## 217 PA Delaware Developed, Medium Intensity 5.786662e+07
## 218 NJ Gloucester Developed, Medium Intensity 3.769934e+07
## 219 NY Greene Developed, Medium Intensity 1.846404e+03
## 220 NJ Hunterdon Developed, Medium Intensity 2.634302e+06
## 221 DE Kent Developed, Medium Intensity 2.542737e+07
## 222 PA Lackawanna Developed, Medium Intensity 5.549858e+05
## 223 PA Lancaster Developed, Medium Intensity 4.145870e+04
## 224 PA Lebanon Developed, Medium Intensity 3.532633e+06
## 225 PA Lehigh Developed, Medium Intensity 5.267039e+07
## 226 PA Luzerne Developed, Medium Intensity 2.681167e+06
## 227 NJ Mercer Developed, Medium Intensity 3.670922e+07
## 228 NJ Monmouth Developed, Medium Intensity 1.545545e+06
## 229 PA Monroe Developed, Medium Intensity 1.624735e+07
## 230 PA Montgomery Developed, Medium Intensity 9.954665e+07
## 231 NJ Morris Developed, Medium Intensity 3.311133e+06
## 232 DE NewCastle Developed, Medium Intensity 7.815001e+07
## 233 PA Northampton Developed, Medium Intensity 4.396457e+07
## 234 NJ Ocean Developed, Medium Intensity 1.996693e+06
## 235 NY Orange Developed, Medium Intensity 2.357669e+06
## 236 PA Philadelphia Developed, Medium Intensity 1.206639e+08
## 237 PA Pike Developed, Medium Intensity 3.201230e+06
## 238 NJ Salem Developed, Medium Intensity 1.017804e+07
## 239 NY Schoharie Developed, Medium Intensity 5.356093e+03
## 240 PA Schuylkill Developed, Medium Intensity 1.435367e+07
## 241 NY Sullivan Developed, Medium Intensity 8.714307e+06
## 242 DE Sussex Developed, Medium Intensity 1.033995e+07
## 243 NJ Sussex Developed, Medium Intensity 4.971282e+06
## 244 NY Ulster Developed, Medium Intensity 2.642903e+04
## 245 NJ Warren Developed, Medium Intensity 1.169413e+07
## 246 PA Wayne Developed, Medium Intensity 3.767890e+06
## 247 NJ Atlantic Developed, Open Space 3.265422e+06
## 248 PA Berks Developed, Open Space 2.063536e+08
## 249 NY Broome Developed, Open Space 9.710952e+06
## 250 PA Bucks Developed, Open Space 2.785041e+08
## 251 NJ Burlington Developed, Open Space 1.774456e+08
## 252 NJ Camden Developed, Open Space 7.653464e+07
## 253 NJ CapeMay Developed, Open Space 1.859171e+07
## 254 PA Carbon Developed, Open Space 6.795364e+07
## 255 NY Chenango Developed, Open Space 3.532149e+05
## 256 PA Chester Developed, Open Space 3.227302e+08
## 257 NJ Cumberland Developed, Open Space 9.193943e+07
## 258 NY Delaware Developed, Open Space 1.165363e+08
## 259 PA Delaware Developed, Open Space 1.417365e+08
## 260 NJ Gloucester Developed, Open Space 1.164963e+08
## 261 NY Greene Developed, Open Space 1.776968e+06
## 262 NJ Hunterdon Developed, Open Space 3.256000e+07
## 263 DE Kent Developed, Open Space 9.139899e+07
## 264 PA Lackawanna Developed, Open Space 1.131029e+07
## 265 PA Lancaster Developed, Open Space 5.427400e+05
## 266 PA Lebanon Developed, Open Space 1.050802e+07
## 267 PA Lehigh Developed, Open Space 1.277553e+08
## 268 PA Luzerne Developed, Open Space 1.520872e+07
## 269 NJ Mercer Developed, Open Space 7.225094e+07
## 270 NJ Monmouth Developed, Open Space 1.477879e+07
## 271 PA Monroe Developed, Open Space 2.034040e+08
## 272 PA Montgomery Developed, Open Space 3.476577e+08
## 273 NJ Morris Developed, Open Space 1.555789e+07
## 274 DE NewCastle Developed, Open Space 1.791374e+08
## 275 PA Northampton Developed, Open Space 1.281162e+08
## 276 NJ Ocean Developed, Open Space 8.701676e+06
## 277 NY Orange Developed, Open Space 1.103939e+07
## 278 PA Philadelphia Developed, Open Space 4.413073e+07
## 279 PA Pike Developed, Open Space 1.187714e+08
## 280 NJ Salem Developed, Open Space 5.474418e+07
## 281 NY Schoharie Developed, Open Space 4.012899e+05
## 282 PA Schuylkill Developed, Open Space 6.230868e+07
## 283 NY Sullivan Developed, Open Space 1.273556e+08
## 284 DE Sussex Developed, Open Space 3.347155e+07
## 285 NJ Sussex Developed, Open Space 6.878068e+07
## 286 NY Ulster Developed, Open Space 6.757372e+06
## 287 NJ Warren Developed, Open Space 7.666056e+07
## 288 PA Wayne Developed, Open Space 1.131498e+08
## 289 NJ Atlantic Emergent Herbaceuous Wetlands 2.098379e+04
## 290 PA Berks Emergent Herbaceuous Wetlands 1.776263e+06
## 291 NY Broome Emergent Herbaceuous Wetlands 6.354717e+05
## 292 PA Bucks Emergent Herbaceuous Wetlands 2.812087e+06
## 293 NJ Burlington Emergent Herbaceuous Wetlands 1.009515e+07
## 294 NJ Camden Emergent Herbaceuous Wetlands 2.741107e+06
## 295 NJ CapeMay Emergent Herbaceuous Wetlands 4.749481e+07
## 296 PA Carbon Emergent Herbaceuous Wetlands 1.276441e+06
## 297 NY Chenango Emergent Herbaceuous Wetlands 3.764187e+04
## 298 PA Chester Emergent Herbaceuous Wetlands 1.777112e+06
## 299 NJ Cumberland Emergent Herbaceuous Wetlands 1.912481e+08
## 300 NY Delaware Emergent Herbaceuous Wetlands 5.238569e+06
## 301 PA Delaware Emergent Herbaceuous Wetlands 2.449716e+06
## 302 NJ Gloucester Emergent Herbaceuous Wetlands 2.271176e+07
## 303 NY Greene Emergent Herbaceuous Wetlands 4.798707e+04
## 304 NJ Hunterdon Emergent Herbaceuous Wetlands 1.678147e+05
## 305 DE Kent Emergent Herbaceuous Wetlands 1.541070e+08
## 306 PA Lackawanna Emergent Herbaceuous Wetlands 9.380195e+05
## 307 PA Lancaster Emergent Herbaceuous Wetlands 6.322763e+04
## 308 PA Lebanon Emergent Herbaceuous Wetlands 1.467108e+05
## 309 PA Lehigh Emergent Herbaceuous Wetlands 5.030615e+05
## 310 PA Luzerne Emergent Herbaceuous Wetlands 1.698224e+06
## 311 NJ Mercer Emergent Herbaceuous Wetlands 2.433639e+06
## 312 NJ Monmouth Emergent Herbaceuous Wetlands 2.825386e+05
## 313 PA Monroe Emergent Herbaceuous Wetlands 3.073878e+06
## 314 PA Montgomery Emergent Herbaceuous Wetlands 5.993411e+05
## 315 NJ Morris Emergent Herbaceuous Wetlands 1.970315e+05
## 316 DE NewCastle Emergent Herbaceuous Wetlands 7.606734e+07
## 317 PA Northampton Emergent Herbaceuous Wetlands 4.587802e+05
## 318 NJ Ocean Emergent Herbaceuous Wetlands 1.926154e+06
## 319 NY Orange Emergent Herbaceuous Wetlands 3.105873e+05
## 320 PA Philadelphia Emergent Herbaceuous Wetlands 1.366561e+06
## 321 PA Pike Emergent Herbaceuous Wetlands 4.793550e+06
## 322 NJ Salem Emergent Herbaceuous Wetlands 1.168073e+08
## 323 NY Schoharie Emergent Herbaceuous Wetlands 1.312085e+04
## 324 PA Schuylkill Emergent Herbaceuous Wetlands 2.498689e+05
## 325 NY Sullivan Emergent Herbaceuous Wetlands 8.682563e+06
## 326 DE Sussex Emergent Herbaceuous Wetlands 5.003913e+07
## 327 NJ Sussex Emergent Herbaceuous Wetlands 5.731837e+06
## 328 NY Ulster Emergent Herbaceuous Wetlands 2.259560e+05
## 329 NJ Warren Emergent Herbaceuous Wetlands 1.493298e+06
## 330 PA Wayne Emergent Herbaceuous Wetlands 1.030989e+07
## 331 NJ Atlantic Evergreen Forest 2.503952e+04
## 332 PA Berks Evergreen Forest 3.335604e+06
## 333 NY Broome Evergreen Forest 6.244072e+06
## 334 PA Bucks Evergreen Forest 4.262296e+06
## 335 NJ Burlington Evergreen Forest 6.545293e+07
## 336 NJ Camden Evergreen Forest 1.515460e+06
## 337 NJ CapeMay Evergreen Forest 5.321919e+06
## 338 PA Carbon Evergreen Forest 5.507760e+07
## 339 NY Chenango Evergreen Forest 3.261259e+05
## 340 PA Chester Evergreen Forest 6.089775e+06
## 341 NJ Cumberland Evergreen Forest 4.577086e+07
## 342 NY Delaware Evergreen Forest 8.120975e+07
## 343 PA Delaware Evergreen Forest 1.011102e+06
## 344 NJ Gloucester Evergreen Forest 1.753752e+06
## 345 NY Greene Evergreen Forest 5.684442e+05
## 346 NJ Hunterdon Evergreen Forest 1.074583e+06
## 347 DE Kent Evergreen Forest 2.737533e+06
## 348 PA Lackawanna Evergreen Forest 1.966387e+06
## 349 PA Lancaster Evergreen Forest 6.226790e+03
## 350 PA Lebanon Evergreen Forest 6.235097e+04
## 351 PA Lehigh Evergreen Forest 8.819393e+05
## 352 PA Luzerne Evergreen Forest 5.061321e+06
## 353 NJ Mercer Evergreen Forest 3.704758e+05
## 354 NJ Monmouth Evergreen Forest 1.864787e+05
## 355 PA Monroe Evergreen Forest 4.677603e+07
## 356 PA Montgomery Evergreen Forest 2.788115e+06
## 357 NJ Morris Evergreen Forest 3.054083e+04
## 358 DE NewCastle Evergreen Forest 3.848853e+06
## 359 PA Northampton Evergreen Forest 7.768068e+05
## 360 NJ Ocean Evergreen Forest 5.261944e+07
## 361 NY Orange Evergreen Forest 7.958279e+06
## 362 PA Philadelphia Evergreen Forest 7.956443e+04
## 363 PA Pike Evergreen Forest 3.530985e+07
## 364 NJ Salem Evergreen Forest 4.914286e+06
## 365 NY Schoharie Evergreen Forest 4.060907e+05
## 366 PA Schuylkill Evergreen Forest 1.380191e+07
## 367 NY Sullivan Evergreen Forest 1.722368e+08
## 368 DE Sussex Evergreen Forest 1.997884e+07
## 369 NJ Sussex Evergreen Forest 4.611054e+06
## 370 NY Ulster Evergreen Forest 1.339303e+07
## 371 NJ Warren Evergreen Forest 8.522650e+05
## 372 PA Wayne Evergreen Forest 3.487905e+07
## 373 NJ Atlantic Hay/Pasture 3.741115e+04
## 374 PA Berks Hay/Pasture 2.932326e+08
## 375 NY Broome Hay/Pasture 2.438381e+07
## 376 PA Bucks Hay/Pasture 3.160827e+08
## 377 NJ Burlington Hay/Pasture 7.223053e+06
## 378 NJ Camden Hay/Pasture 1.112181e+06
## 379 NJ CapeMay Hay/Pasture 4.243899e+05
## 380 PA Carbon Hay/Pasture 5.124224e+07
## 381 NY Chenango Hay/Pasture 3.529484e+05
## 382 PA Chester Hay/Pasture 3.317441e+08
## 383 NJ Cumberland Hay/Pasture 2.715283e+06
## 384 NY Delaware Hay/Pasture 3.453902e+08
## 385 PA Delaware Hay/Pasture 2.360376e+07
## 386 NJ Gloucester Hay/Pasture 5.465666e+06
## 387 NY Greene Hay/Pasture 2.497942e+06
## 388 NJ Hunterdon Hay/Pasture 1.400338e+08
## 389 DE Kent Hay/Pasture 2.272827e+06
## 390 PA Lackawanna Hay/Pasture 6.288525e+06
## 391 PA Lancaster Hay/Pasture 1.564484e+06
## 392 PA Lebanon Hay/Pasture 1.691905e+07
## 393 PA Lehigh Hay/Pasture 1.014066e+08
## 394 PA Luzerne Hay/Pasture 3.710636e+06
## 395 NJ Mercer Hay/Pasture 1.843845e+07
## 396 NJ Monmouth Hay/Pasture 8.156711e+06
## 397 PA Monroe Hay/Pasture 6.141628e+07
## 398 PA Montgomery Hay/Pasture 1.791411e+08
## 399 NJ Morris Hay/Pasture 4.700276e+06
## 400 DE NewCastle Hay/Pasture 3.421754e+07
## 401 PA Northampton Hay/Pasture 1.146059e+08
## 402 NJ Ocean Hay/Pasture 4.709780e+05
## 403 NY Orange Hay/Pasture 4.415370e+06
## 404 PA Philadelphia Hay/Pasture 1.782411e+06
## 405 PA Pike Hay/Pasture 1.020858e+07
## 406 NJ Salem Hay/Pasture 1.755181e+07
## 407 NY Schoharie Hay/Pasture 2.045595e+06
## 408 PA Schuylkill Hay/Pasture 5.670186e+07
## 409 NY Sullivan Hay/Pasture 1.382521e+08
## 410 DE Sussex Hay/Pasture 8.722303e+05
## 411 NJ Sussex Hay/Pasture 8.374610e+07
## 412 NY Ulster Hay/Pasture 4.303240e+06
## 413 NJ Warren Hay/Pasture 1.229272e+08
## 414 PA Wayne Hay/Pasture 2.598239e+08
## 415 NJ Atlantic Herbaceuous 2.104828e+04
## 416 PA Berks Herbaceuous 6.343675e+06
## 417 NY Broome Herbaceuous 5.253116e+05
## 418 PA Bucks Herbaceuous 8.157789e+06
## 419 NJ Burlington Herbaceuous 9.469967e+06
## 420 NJ Camden Herbaceuous 1.380991e+06
## 421 NJ CapeMay Herbaceuous 1.230757e+06
## 422 PA Carbon Herbaceuous 5.945553e+06
## 423 NY Chenango Herbaceuous 2.782105e+04
## 424 PA Chester Herbaceuous 4.816645e+06
## 425 NJ Cumberland Herbaceuous 4.624304e+06
## 426 NY Delaware Herbaceuous 2.007485e+07
## 427 PA Delaware Herbaceuous 1.051017e+06
## 428 NJ Gloucester Herbaceuous 6.862715e+06
## 429 NY Greene Herbaceuous 2.651145e+05
## 430 NJ Hunterdon Herbaceuous 1.728335e+06
## 431 DE Kent Herbaceuous 5.299931e+05
## 432 PA Lackawanna Herbaceuous 2.504550e+06
## 433 PA Lancaster Herbaceuous 7.466878e+04
## 434 PA Lebanon Herbaceuous 1.323437e+05
## 435 PA Lehigh Herbaceuous 1.604982e+06
## 436 PA Luzerne Herbaceuous 3.371793e+06
## 437 NJ Mercer Herbaceuous 9.827064e+05
## 438 NJ Monmouth Herbaceuous 7.370913e+05
## 439 PA Monroe Herbaceuous 1.078258e+07
## 440 PA Montgomery Herbaceuous 5.065765e+06
## 441 NJ Morris Herbaceuous 4.540246e+05
## 442 DE NewCastle Herbaceuous 4.987509e+06
## 443 PA Northampton Herbaceuous 2.674045e+06
## 444 NJ Ocean Herbaceuous 5.664541e+06
## 445 NY Orange Herbaceuous 7.852230e+05
## 446 PA Philadelphia Herbaceuous 1.929269e+06
## 447 PA Pike Herbaceuous 6.218383e+06
## 448 NJ Salem Herbaceuous 1.861155e+06
## 449 NY Schoharie Herbaceuous 3.187417e+04
## 450 PA Schuylkill Herbaceuous 5.875602e+06
## 451 NY Sullivan Herbaceuous 1.787188e+07
## 452 DE Sussex Herbaceuous 5.112360e+05
## 453 NJ Sussex Herbaceuous 3.833323e+06
## 454 NY Ulster Herbaceuous 7.128474e+05
## 455 NJ Warren Herbaceuous 3.076746e+06
## 456 PA Wayne Herbaceuous 1.369133e+07
## 457 NJ Atlantic Mixed Forest 1.162918e+06
## 458 PA Berks Mixed Forest 1.431840e+08
## 459 NY Broome Mixed Forest 4.892586e+07
## 460 PA Bucks Mixed Forest 4.509190e+07
## 461 NJ Burlington Mixed Forest 7.755932e+07
## 462 NJ Camden Mixed Forest 7.933779e+06
## 463 NJ CapeMay Mixed Forest 2.561172e+07
## 464 PA Carbon Mixed Forest 1.875859e+08
## 465 NY Chenango Mixed Forest 1.824393e+06
## 466 PA Chester Mixed Forest 2.061879e+08
## 467 NJ Cumberland Mixed Forest 1.284789e+08
## 468 NY Delaware Mixed Forest 4.336807e+08
## 469 PA Delaware Mixed Forest 1.990273e+07
## 470 NJ Gloucester Mixed Forest 1.753498e+07
## 471 NY Greene Mixed Forest 1.527755e+07
## 472 NJ Hunterdon Mixed Forest 9.659565e+06
## 473 DE Kent Mixed Forest 1.025068e+07
## 474 PA Lackawanna Mixed Forest 1.837541e+07
## 475 PA Lancaster Mixed Forest 4.783103e+05
## 476 PA Lebanon Mixed Forest 3.311110e+06
## 477 PA Lehigh Mixed Forest 4.006738e+07
## 478 PA Luzerne Mixed Forest 2.934348e+07
## 479 NJ Mercer Mixed Forest 4.749966e+06
## 480 NJ Monmouth Mixed Forest 2.026634e+06
## 481 PA Monroe Mixed Forest 1.666922e+08
## 482 PA Montgomery Mixed Forest 9.367011e+07
## 483 NJ Morris Mixed Forest 1.411431e+06
## 484 DE NewCastle Mixed Forest 6.014781e+07
## 485 PA Northampton Mixed Forest 2.501067e+07
## 486 NJ Ocean Mixed Forest 1.742723e+07
## 487 NY Orange Mixed Forest 4.829690e+07
## 488 PA Philadelphia Mixed Forest 1.582869e+06
## 489 PA Pike Mixed Forest 2.085415e+08
## 490 NJ Salem Mixed Forest 3.686641e+07
## 491 NY Schoharie Mixed Forest 1.634949e+06
## 492 PA Schuylkill Mixed Forest 1.066166e+08
## 493 NY Sullivan Mixed Forest 6.664252e+08
## 494 DE Sussex Mixed Forest 3.749627e+07
## 495 NJ Sussex Mixed Forest 5.049604e+07
## 496 NY Ulster Mixed Forest 1.402312e+08
## 497 NJ Warren Mixed Forest 3.029716e+07
## 498 PA Wayne Mixed Forest 2.434727e+08
## 499 NJ Atlantic Open Water 5.906322e+03
## 500 PA Berks Open Water 1.873864e+07
## 501 NY Broome Open Water 2.109223e+06
## 502 PA Bucks Open Water 3.408097e+07
## 503 NJ Burlington Open Water 2.800171e+07
## 504 NJ Camden Open Water 1.149883e+07
## 505 NJ CapeMay Open Water 6.412090e+06
## 506 PA Carbon Open Water 1.751647e+07
## 507 NY Chenango Open Water 7.356446e+03
## 508 PA Chester Open Water 8.790273e+06
## 509 NJ Cumberland Open Water 6.844148e+07
## 510 NY Delaware Open Water 4.807657e+07
## 511 PA Delaware Open Water 1.500442e+07
## 512 NJ Gloucester Open Water 3.059528e+07
## 513 NY Greene Open Water 2.470440e+03
## 514 NJ Hunterdon Open Water 5.117270e+06
## 515 DE Kent Open Water 3.345481e+07
## 516 PA Lackawanna Open Water 2.996047e+06
## 517 PA Lancaster Open Water 9.190462e+02
## 518 PA Lebanon Open Water 5.157417e+05
## 519 PA Lehigh Open Water 5.731173e+06
## 520 PA Luzerne Open Water 4.440740e+06
## 521 NJ Mercer Open Water 6.592438e+06
## 522 NJ Monmouth Open Water 1.850323e+06
## 523 PA Monroe Open Water 2.309295e+07
## 524 PA Montgomery Open Water 1.031175e+07
## 525 NJ Morris Open Water 8.258046e+06
## 526 DE NewCastle Open Water 2.401261e+07
## 527 PA Northampton Open Water 8.407613e+06
## 528 NJ Ocean Open Water 2.471443e+06
## 529 NY Orange Open Water 4.290930e+06
## 530 PA Philadelphia Open Water 1.431992e+07
## 531 PA Pike Open Water 4.957576e+07
## 532 NJ Salem Open Water 3.483838e+07
## 533 NY Schoharie Open Water 2.076516e+05
## 534 PA Schuylkill Open Water 1.060575e+07
## 535 NY Sullivan Open Water 6.589975e+07
## 536 DE Sussex Open Water 1.879341e+07
## 537 NJ Sussex Open Water 2.613169e+07
## 538 NY Ulster Open Water 7.690909e+05
## 539 NJ Warren Open Water 1.692854e+07
## 540 PA Wayne Open Water 4.734185e+07
## 541 NJ Atlantic Shrub/Scrub 2.811413e+05
## 542 PA Berks Shrub/Scrub 1.749182e+07
## 543 NY Broome Shrub/Scrub 1.482776e+06
## 544 PA Bucks Shrub/Scrub 1.073687e+07
## 545 NJ Burlington Shrub/Scrub 8.939017e+06
## 546 NJ Camden Shrub/Scrub 9.321002e+05
## 547 NJ CapeMay Shrub/Scrub 2.200085e+06
## 548 PA Carbon Shrub/Scrub 5.841384e+06
## 549 NY Chenango Shrub/Scrub 4.528943e+04
## 550 PA Chester Shrub/Scrub 2.187035e+07
## 551 NJ Cumberland Shrub/Scrub 1.389324e+07
## 552 NY Delaware Shrub/Scrub 2.861824e+07
## 553 PA Delaware Shrub/Scrub 1.721535e+06
## 554 NJ Gloucester Shrub/Scrub 4.581983e+06
## 555 NY Greene Shrub/Scrub 6.402908e+04
## 556 NJ Hunterdon Shrub/Scrub 2.080494e+06
## 557 DE Kent Shrub/Scrub 1.532291e+06
## 558 PA Lackawanna Shrub/Scrub 1.892693e+06
## 559 PA Lancaster Shrub/Scrub 8.905433e+04
## 560 PA Lebanon Shrub/Scrub 1.307743e+05
## 561 PA Lehigh Shrub/Scrub 6.435721e+06
## 562 PA Luzerne Shrub/Scrub 2.552751e+06
## 563 NJ Mercer Shrub/Scrub 1.698489e+06
## 564 NJ Monmouth Shrub/Scrub 2.188279e+06
## 565 PA Monroe Shrub/Scrub 1.134064e+07
## 566 PA Montgomery Shrub/Scrub 1.208524e+07
## 567 NJ Morris Shrub/Scrub 5.434864e+05
## 568 DE NewCastle Shrub/Scrub 6.837276e+06
## 569 PA Northampton Shrub/Scrub 4.513066e+06
## 570 NJ Ocean Shrub/Scrub 2.464130e+06
## 571 NY Orange Shrub/Scrub 6.105811e+05
## 572 PA Philadelphia Shrub/Scrub 5.159751e+05
## 573 PA Pike Shrub/Scrub 1.493075e+07
## 574 NJ Salem Shrub/Scrub 4.206158e+06
## 575 NY Schoharie Shrub/Scrub 8.924646e+03
## 576 PA Schuylkill Shrub/Scrub 1.439244e+07
## 577 NY Sullivan Shrub/Scrub 6.885554e+06
## 578 DE Sussex Shrub/Scrub 3.172743e+06
## 579 NJ Sussex Shrub/Scrub 3.532883e+06
## 580 NY Ulster Shrub/Scrub 1.926292e+06
## 581 NJ Warren Shrub/Scrub 2.673758e+06
## 582 PA Wayne Shrub/Scrub 1.331663e+07
## 583 NJ Atlantic Woody Wetlands 4.343895e+06
## 584 PA Berks Woody Wetlands 2.089062e+07
## 585 NY Broome Woody Wetlands 2.046487e+06
## 586 PA Bucks Woody Wetlands 5.519832e+07
## 587 NJ Burlington Woody Wetlands 3.092769e+08
## 588 NJ Camden Woody Wetlands 2.264391e+07
## 589 NJ CapeMay Woody Wetlands 1.084461e+08
## 590 PA Carbon Woody Wetlands 1.328144e+07
## 591 NY Chenango Woody Wetlands 2.826861e+05
## 592 PA Chester Woody Wetlands 4.470104e+07
## 593 NJ Cumberland Woody Wetlands 2.549368e+08
## 594 NY Delaware Woody Wetlands 2.184264e+07
## 595 PA Delaware Woody Wetlands 4.525564e+06
## 596 NJ Gloucester Woody Wetlands 1.167108e+08
## 597 NY Greene Woody Wetlands 1.783751e+05
## 598 NJ Hunterdon Woody Wetlands 2.010224e+07
## 599 DE Kent Woody Wetlands 1.528452e+08
## 600 PA Lackawanna Woody Wetlands 2.164803e+07
## 601 PA Lancaster Woody Wetlands 1.639270e+05
## 602 PA Lebanon Woody Wetlands 2.527524e+05
## 603 PA Lehigh Woody Wetlands 5.727350e+06
## 604 PA Luzerne Woody Wetlands 1.890826e+07
## 605 NJ Mercer Woody Wetlands 4.902158e+07
## 606 NJ Monmouth Woody Wetlands 2.474589e+07
## 607 PA Monroe Woody Wetlands 1.317554e+08
## 608 PA Montgomery Woody Wetlands 1.651254e+07
## 609 NJ Morris Woody Wetlands 1.071306e+07
## 610 DE NewCastle Woody Wetlands 7.777384e+07
## 611 PA Northampton Woody Wetlands 1.422666e+07
## 612 NJ Ocean Woody Wetlands 5.854418e+07
## 613 NY Orange Woody Wetlands 1.088330e+07
## 614 PA Philadelphia Woody Wetlands 3.909860e+06
## 615 PA Pike Woody Wetlands 1.187580e+08
## 616 NJ Salem Woody Wetlands 1.759442e+08
## 617 NY Schoharie Woody Wetlands 2.018338e+05
## 618 PA Schuylkill Woody Wetlands 2.436065e+06
## 619 NY Sullivan Woody Wetlands 9.539682e+07
## 620 DE Sussex Woody Wetlands 7.166576e+07
## 621 NJ Sussex Woody Wetlands 9.060622e+07
## 622 NY Ulster Woody Wetlands 1.957598e+06
## 623 NJ Warren Woody Wetlands 7.044694e+07
## 624 PA Wayne Woody Wetlands 9.274072e+07
#View(agg1)
write.csv(agg1,'DRWS_LC_Agg1',row.names=FALSE) #Saving new spreadsheet from created data