#library(plyr)
#library(dplyr)ABHAS CHANDRA(S3664811) AND NICKY BOIT(S3646703)
The collapse of reinforced concrete structures has caused a heavy damage to property and lives of the people in the recent decades. Investigations lead to the fact that the quality of concrete was below standards. It was therefore needed to achieve the required compressive strength and ductility of concrete in the design to attain the reliability of structures. Also, if the compressive strength of concrete greatly exceeds the specified strength, it seriously affects the ductile ratio of the structure. This also creates dead load in the structure.
Hence, we can state 3 things: 1.It is needed to achieve the required compressive strength and ductility of concrete in the design. 2. If the compressive strength of concrete greatly exceeds the specified strength, it will seriously affect the ductile ratio of the structure 3. If the deviation of compressive strength of concrete is over the limit, it causes imbalance to the ductile ratio of structure, and adversely influence the seismic capability of the structure.
Due to variability in the strength properties of concrete, the compliance with the desired specifications is not met. Variations in strength may occur due to improper mixing of materials, varied w/c ratio for different batches, change in batching plant operator, proportions of raw materials etc. The compressive strength of the concrete obtained after 28 days of ageing, goes drastically high. That excessive value creates a dead load in the structure. And ultimately takes the cost of production high, incurring loss to the company in the long run.
Here, we address this issue. This will be done using various visualisations and analysis. The aim is to predict compressive strength of the concrete based on a particular combination of values of fields/parameters. We will create models using different algorithms and choose the best, based on accuracy. There will be thorough inter models as well as intra( i.e hyperparamter tuning) model comparison. We will be building three classification models â Logistic regression model, Kernel Support Vector Machine (SVM) (Gaussian) model, and Random Forest Classification model and test the accuracy of prediction.Finally we will draw a comparison amongst all the models in the result section of the report.
#install.packages('caTools')
#install.packages('caret')
#install.packages('e1071')
#install.packages('randomForest')
library(readxl)
library(caTools)
library(caret)## Loading required package: lattice## Loading required package: ggplot2library(e1071)
library(randomForest)## randomForest 4.6-14## Type rfNews() to see new features/changes/bug fixes.##
## Attaching package: 'randomForest'## The following object is masked from 'package:ggplot2':
##
## marginThe dataset is sourced from Simplex Infrastructures Ltd. which is a diversified company established in 1924 and executing projects in several sectors like Transport, Energy & Power, Mining, Buildings, Marine, Real Estate etc. It is named with the heading - âCONCRETE CUBE REGISTER FOR TOWER 5 & 6 & POD/MRSS CUBES STRENGTH DETAILSâ. Following is the link for the data named Simplex_Cube_Register.
https://drive.google.com/open?id=1_gCfyRD3TgWspTkn2CYopoD1CG1fxhL0
This is a private data obtained from Mr.Rishi Kathed, enrolled in Project Management course at RMIT University. His undergraduate research thesis, that drove us to delve deeper into this data. is at the following link:
https://drive.google.com/open?id=1hPvsxyLPxNNJrcSFymAPyqQvFIkmz0MN
Details about the data: 1. It contains a total of 2986 rows and 16 columns. 2. This data set contains details about the strength of different concrete grades, taken from different location and aged 7 days and 28 days respectively. The details of each concrete grade are spanned amongst 16 columns â grade, location, structure, source, weight, quantity, average strength, density, compressive strength, etc.
cube <- read_excel("C:/Users/Nicky Boit/Desktop/Machine learning main/simplex Cube Register.xlsx",
skip=2)
head(cube)## # A tibble: 6 x 18
## Sr.No `CUBE ID` `Date of Casting` `Concrete Grade` Location Structure
## <dbl> <dbl> <chr> <chr> <chr> <chr>
## 1 1 1 42314 M-15 T-5 T-5 @ B4 LE~
## 2 NA 2 <NA> <NA> <NA> <NA>
## 3 NA 3 <NA> <NA> <NA> <NA>
## 4 NA 4 <NA> <NA> <NA> <NA>
## 5 NA 5 <NA> <NA> <NA> <NA>
## 6 NA 6 <NA> <NA> <NA> <NA>
## # ... with 12 more variables: `Concrete Source` <chr>, Qty. <chr>, `Date
## # of Testing` <chr>, Age <dbl>, `Weight in Kg.` <dbl>, `Density in
## # MT/m3` <dbl>, `Load in KN` <dbl>, `Comp. Strength in N/mm2` <dbl>,
## # `Avg. Strength in N/mm2` <dbl>, `Comp. Strength in %` <dbl>,
## # Remark <lgl>, X__1 <lgl>Certain columns were dropped from the table which were not of significance for model building. Since the data has been imported as an excel file, it contains a lot of âNAâ values which needs to be cleaned. In excel file, some columns have rowspans because of common values among some rows. R reads the rowspans in a different way, suppose if there is a rowspan of n rows(or same value for n rows), it takes the rowspan value and assign it to 1st row and 2:n will get values as NA. As we can see the similiar pattern throughout the sheets, which can be fixed by small chunk of while code chunk, which takes the row value at first row and fill remaining rows with that value until we get row with already having new value. The target feature contained some impossible values such as Compressive strength in % being equal to 0 and values greater than 200 which have been removed. Concrete source and concrete grade columns contained similar labels which have been made uniform. Trimming of Qty column was done and made uniform. Encoding for concrete source and concrete grade column was performed. Age was converted to categorical feature. Missing data from certain columns were removed. Numerical data columns were converted double. Encoding of target feature as factor was done by splitting it into two range of values - 1) 0-100 and, 2) 100-200 and ten labelling them.
#Columns dropped
cube$Sr.No <- NULL
cube$Remark <- NULL
cube$`CUBE ID` <- NULL
cube$`Date of Testing` <- NULL
cube$`Date of Casting` <- NULL
cube$X__1 <- NULL
cube <- cube[,-(2:3),drop=FALSE]
cube <- cube[,-(8:9),drop=FALSE]
#subdivision of rowspan and replicating the rowspan value into the newly created 'NA'
columnsModification <- function(colname){
i <- 1
temp <- ""
while (i < length(cube[[colname]])) {
if(!is.na(cube[[colname]][i])){
temp <- cube[[colname]][i]
} else{
cube[[colname]][i] <- temp
}
i <- i+1 }
return(cube)
}
colNames <- c('Concrete Grade', 'Location', 'Structure','Age','Qty.','Concrete Source','Avg. Str
ength in N/mm2','Comp. Strength in %')
for(i in 1:length(colNames))
cube <- columnsModification(colNames[i])
#Removing impossible values
cube<-cube[!(cube$`Comp. Strength in %`==0 | cube$`Comp. Strength in %`>=200),]
cube<-cube[!(is.na(cube$Age)>0),] #One corrupt row with NA values removed
summary(cube)## Concrete Grade Concrete Source Qty. Age
## Length:2313 Length:2313 Length:2313 Min. : 7.00
## Class :character Class :character Class :character 1st Qu.: 7.00
## Mode :character Mode :character Mode :character Median : 7.00
## Mean :17.69
## 3rd Qu.:28.00
## Max. :56.00
##
## Weight in Kg. Density in MT/m3 Load in KN Comp. Strength in %
## Min. :7.705 Min. : 0 Min. : 27.5 Min. : 18.87
## 1st Qu.:8.402 1st Qu.:2489 1st Qu.: 696.4 1st Qu.: 73.07
## Median :8.520 Median :2524 Median : 983.0 Median : 88.32
## Mean :8.515 Mean :2519 Mean : 977.0 Mean : 93.16
## 3rd Qu.:8.642 3rd Qu.:2560 3rd Qu.:1279.7 3rd Qu.:113.45
## Max. :9.088 Max. :2693 Max. :2222.2 Max. :166.38
## NA's :3 NA's :5#Making the column uniform
cube$`Concrete Source` <- gsub('ACC PLANT', 'ACC', cube$`Concrete Source`)
cube$`Concrete Source` <- gsub('ACC PLANT GGBS', 'ACC', cube$`Concrete Source`)
cube$`Concrete Source` <- gsub('ACC GGBS', 'ACC', cube$`Concrete Source`)
cube$`Concrete Grade` <- gsub('M-40', 'M40', cube$`Concrete Grade`)
cube$`Concrete Grade` <- gsub('M-50', 'M50', cube$`Concrete Grade`)
cube$`Concrete Grade` <- gsub('M-70', 'M70', cube$`Concrete Grade`)
cube$`Concrete Grade` <- gsub('M-10', 'M10', cube$`Concrete Grade`)
cube$`Concrete Grade` <- gsub('M-15', 'M15', cube$`Concrete Grade`)
#Trimming of Qty column
cube$Qty. <- gsub('m3' , '' , cube$Qty.)
cube$Qty. <- gsub('M3' , '' , cube$Qty.)
trimws(cube$Qty., which = c("both", "left", "right"))## [1] "84" "84" "84" "84" "84" "84" "84" "84"
## [9] "84" "84" "84" "84" "113" "113" "113" "113"
## [17] "113" "113" "113" "113" "113" "113" "113" "113"
## [25] "20" "20" "20" "20" "20" "20" "120" "120"
## [33] "120" "120" "120" "120" "120" "120" "120" "120"
## [41] "120" "120" "120" "120" "120" "120" "120" "120"
## [49] "131" "131" "131" "131" "131" "131" "131" "131"
## [57] "131" "131" "131" "131" "131" "131" "131" "131"
## [65] "131" "131" "50" "50" "50" "50" "50" "50"
## [73] "50" "50" "50" "50" "50" "50" "36" "36"
## [81] "36" "36" "36" "36" "36" "36" "36" "36"
## [89] "36" "36" "32" "32" "32" "32" "32" "32"
## [97] "32" "32" "32" "32" "32" "32" "32" "32"
## [105] "32" "32" "32" "32" "72" "72" "72" "72"
## [113] "72" "72" "72" "72" "72" "72" "72" "72"
## [121] "27" "27" "27" "27" "27" "27" "27" "27"
## [129] "27" "27" "27" "27" "38" "38" "38" "38"
## [137] "38" "38" "38" "38" "38" "38" "38" "38"
## [145] "17" "17" "17" "17" "17" "17" "17" "17"
## [153] "17" "17" "17" "17" "22" "22" "22" "22"
## [161] "22" "22" "22" "22" "22" "22" "22" "22"
## [169] "22" "22" "22" "45" "45" "45" "45" "45"
## [177] "45" "45" "45" "45" "45" "45" "45" "46"
## [185] "46" "46" "46" "46" "46" "46" "46" "46"
## [193] "46" "46" "46" "21" "21" "21" "21" "21"
## [201] "21" "21" "21" "21" "21" "21" "21" "28"
## [209] "28" "28" "28" "28" "28" "28" "28" "28"
## [217] "28" "28" "28" "38" "38" "38" "38" "38"
## [225] "38" "38" "38" "38" "38" "38" "38" "16"
## [233] "16" "16" "16" "16" "16" "22" "22" "22"
## [241] "22" "22" "22" "22" "22" "22" "22" "22"
## [249] "22" "21.5" "21.5" "21.5" "21.5" "21.5" "21.5" "21.5"
## [257] "21.5" "21.5" "21.5" "21.5" "21.5" "22.5" "22.5" "22.5"
## [265] "22.5" "22.5" "22.5" "22.5" "22.5" "22.5" "22.5" "22.5"
## [273] "22.5" "18" "18" "18" "18" "18" "18" "18"
## [281] "18" "18" "18" "18" "18" "32" "32" "32"
## [289] "32" "32" "32" "32" "32" "32" "32" "32"
## [297] "32" "52" "52" "52" "52" "52" "52" "52"
## [305] "52" "52" "52" "52" "52" "50" "50" "50"
## [313] "50" "50" "50" "50" "50" "50" "50" "50"
## [321] "50" "25" "25" "25" "25" "25" "25" "25"
## [329] "25" "25" "25" "25" "25" "17" "17" "17"
## [337] "17" "17" "17" "17" "17" "17" "17" "17"
## [345] "17" "33" "33" "33" "33" "33" "33" "33"
## [353] "33" "33" "33" "33" "33" "28" "28" "28"
## [361] "28" "28" "28" "28" "28" "28" "28" "28"
## [369] "28" "29.5" "29.5" "29.5" "29.5" "29.5" "29.5" "29.5"
## [377] "29.5" "29.5" "29.5" "29.5" "29.5" "178" "178" "178"
## [385] "178" "178" "178" "178" "178" "178" "178" "178"
## [393] "178" "178" "178" "178" "178" "178" "178" "178"
## [401] "178" "178" "178" "178" "178" "178" "178" "178"
## [409] "178" "178" "178" "178" "178" "178" "178" "178"
## [417] "178" "178" "178" "178" "178" "178" "178" "11"
## [425] "11" "11" "11" "11" "11" "11" "11" "11"
## [433] "11" "11" "11" "22" "22" "22" "22" "22"
## [441] "22" "22" "22" "22" "22" "22" "22" "16"
## [449] "16" "16" "16" "16" "16" "16" "16" "16"
## [457] "16" "16" "16" "155" "155" "155" "155" "155"
## [465] "155" "155" "155" "155" "155" "155" "155" "155"
## [473] "155" "155" "155" "155" "155" "155" "155" "155"
## [481] "155" "155" "155" "155" "155" "155" "155" "155"
## [489] "155" "155" "155" "155" "155" "155" "155" "155"
## [497] "155" "155" "155" "155" "155" "40" "40" "40"
## [505] "40" "40" "40" "40" "40" "40" "40" "40"
## [513] "40" "40" "40" "40" "40" "40" "40" "25"
## [521] "25" "25" "25" "25" "25" "25" "25" "25"
## [529] "25" "25" "25" "25" "25" "25" "25" "25"
## [537] "25" "104" "104" "104" "104" "104" "104" "104"
## [545] "104" "104" "104" "104" "104" "104" "104" "104"
## [553] "104" "104" "104" "104" "104" "104" "104" "104"
## [561] "104" "104" "104" "104" "192" "192" "192" "192"
## [569] "192" "192" "192" "192" "192" "192" "192" "192"
## [577] "192" "192" "192" "192" "192" "192" "192" "192"
## [585] "192" "192" "192" "192" "192" "192" "192" "192"
## [593] "192" "192" "192" "192" "192" "192" "192" "192"
## [601] "192" "192" "192" "192" "192" "192" "192" "192"
## [609] "192" "192" "192" "192" "36" "36" "36" "36"
## [617] "36" "36" "36" "36" "36" "36" "36" "36"
## [625] "36" "36" "36" "36" "36" "36" "36" "36"
## [633] "36" "36" "36" "36" "8.5" "8.5" "8.5" "8.5"
## [641] "8.5" "8.5" "83" "83" "83" "83" "83" "83"
## [649] "83" "83" "83" "83" "83" "83" "83" "83"
## [657] "83" "83" "83" "83" "83" "83" "83" "83"
## [665] "83" "83" "83" "83" "83" "83" "83" "83"
## [673] "100" "100" "100" "100" "100" "100" "800" "800"
## [681] "800" "800" "800" "800" "800" "800" "800" "800"
## [689] "800" "800" "800" "800" "800" "800" "800" "800"
## [697] "800" "800" "800" "800" "800" "800" "800" "800"
## [705] "800" "800" "800" "800" "300" "300" "300" "300"
## [713] "300" "300" "300" "300" "300" "300" "300" "300"
## [721] "344" "344" "344" "344" "344" "344" "344" "344"
## [729] "344" "344" "344" "344" "84" "84" "84" "84"
## [737] "84" "84" "84" "84" "84" "84" "84" "84"
## [745] "84" "84" "84" "84" "84" "84" "84" "84"
## [753] "84" "84" "84" "84" "84" "84" "84" "84"
## [761] "84" "84" "6" "6" "6" "6" "6" "6"
## [769] "6" "6" "6" "6" "6" "6" "144" "144"
## [777] "144" "144" "144" "144" "144" "144" "144" "144"
## [785] "144" "144" "144" "144" "144" "144" "144" "144"
## [793] "144" "144" "144" "144" "144" "144" "144" "144"
## [801] "144" "144" "144" "144" "144" "144" "144" "144"
## [809] "144" "144" "52" "52" "52" "52" "52" "52"
## [817] "52" "52" "52" "52" "52" "52" "52" "52"
## [825] "52" "52" "52" "52" "52" "52" "52" "52"
## [833] "52" "52" "52" "52" "52" "52" "52" "52"
## [841] "8" "8" "8" "56" "56" "56" "56" "56"
## [849] "56" "56" "56" "56" "56" "56" "56" "56"
## [857] "56" "56" "56" "56" "56" "56" "56" "56"
## [865] "56" "56" "56" "56" "56" "56" "56" "56"
## [873] "56" "56" "56" "56" "56" "56" "56" "173"
## [881] "173" "173" "173" "173" "173" "173" "173" "173"
## [889] "173" "173" "173" "173" "173" "173" "173" "173"
## [897] "173" "173" "173" "173" "173" "173" "173" "173"
## [905] "173" "173" "173" "173" "173" "173" "173" "173"
## [913] "173" "173" "173" "755" "755" "755" "755" "755"
## [921] "755" "755" "755" "755" "755" "755" "755" "755"
## [929] "755" "755" "755" "755" "755" "755" "755" "755"
## [937] "755" "755" "755" "755" "755" "755" "755" "755"
## [945] "755" "755" "755" "755" "755" "755" "755" "755"
## [953] "755" "755" "755" "755" "755" "755" "755" "755"
## [961] "755" "755" "755" "755" "755" "755" "719.5" "719.5"
## [969] "719.5" "719.5" "719.5" "719.5" "719.5" "719.5" "719.5" "719.5"
## [977] "719.5" "719.5" "719.5" "719.5" "719.5" "719.5" "719.5" "719.5"
## [985] "719.5" "719.5" "719.5" "719.5" "719.5" "719.5" "719.5" "719.5"
## [993] "719.5" "719.5" "719.5" "719.5" "719.5" "719.5" "719.5" "719.5"
## [1001] "719.5" "719.5" "719.5" "719.5" "719.5" "42" "42" "42"
## [1009] "42" "42" "42" "42" "42" "42" "42" "42"
## [1017] "42" "42" "42" "42" "42" "42" "42" "30"
## [1025] "30" "30" "30" "30" "30" "30" "30" "30"
## [1033] "30" "30" "30" "30" "30" "30" "30" "30"
## [1041] "30" "80" "80" "80" "80" "80" "80" "80"
## [1049] "80" "80" "80" "80" "80" "80" "80" "80"
## [1057] "80" "80" "80" "80" "80" "80" "80" "80"
## [1065] "80" "54" "54" "54" "54" "54" "54" "54"
## [1073] "54" "54" "54" "54" "54" "54" "54" "54"
## [1081] "54" "54" "54" "54" "54" "54" "54" "54"
## [1089] "54" "5" "5" "5" "5" "5" "5" "10"
## [1097] "10" "10" "10" "10" "10" "10" "10" "10"
## [1105] "10" "10" "10" "5" "5" "5" "5" "5"
## [1113] "5" "6" "6" "6" "6" "6" "6" "5.5"
## [1121] "5.5" "5.5" "5.5" "5.5" "5.5" "5" "5" "5"
## [1129] "5" "5" "5" "5" "5" "5" "5" "5"
## [1137] "5" "5" "5" "5" "5" "5" "5" "24"
## [1145] "24" "24" "24" "24" "24" "24" "24" "24"
## [1153] "24" "24" "24" "24" "24" "24" "24" "24"
## [1161] "24" "7.5" "7.5" "7.5" "7.5" "7.5" "7.5" "7.5"
## [1169] "7.5" "7.5" "7.5" "7.5" "7.5" "22" "22" "22"
## [1177] "22" "22" "22" "22" "22" "22" "22" "22"
## [1185] "22" "22" "22" "22" "22" "22" "22" "5.5"
## [1193] "5.5" "5.5" "5.5" "5.5" "5.5" "5.5" "5.5" "5.5"
## [1201] "5.5" "5.5" "5.5" "3" "3" "3" "3" "3"
## [1209] "3" "36" "36" "36" "36" "36" "36" "36"
## [1217] "36" "36" "36" "36" "36" "36" "36" "36"
## [1225] "36" "36" "36" "36" "36" "36" "36" "36"
## [1233] "36" "54" "54" "54" "54" "54" "54" "54"
## [1241] "54" "54" "54" "54" "54" "54" "54" "54"
## [1249] "54" "54" "54" "54" "54" "54" "54" "54"
## [1257] "54" "6" "6" "6" "6" "6" "6" "48"
## [1265] "48" "48" "48" "48" "48" "48" "48" "48"
## [1273] "48" "48" "48" "48" "48" "48" "48" "48"
## [1281] "48" "48" "48" "48" "48" "48" "48" "23"
## [1289] "23" "23" "23" "23" "23" "23" "23" "23"
## [1297] "23" "23" "23" "23" "23" "23" "23" "23"
## [1305] "23" "4" "4" "4" "4" "4" "4" "14"
## [1313] "14" "14" "14" "14" "14" "14" "14" "14"
## [1321] "14" "14" "14" "16" "16" "16" "16" "16"
## [1329] "16" "16" "16" "16" "16" "16" "16" "17"
## [1337] "17" "17" "17" "17" "17" "17" "17" "17"
## [1345] "17" "17" "17" "17" "17" "17" "17" "17"
## [1353] "17" "24" "24" "24" "24" "24" "24" "24"
## [1361] "24" "24" "24" "24" "24" "24" "24" "24"
## [1369] "24" "24" "24" "70" "70" "70" "70" "70"
## [1377] "70" "70" "70" "70" "70" "70" "70" "70"
## [1385] "70" "70" "70" "70" "70" "70" "70" "70"
## [1393] "70" "70" "70" "70" "70" "70" "70" "70"
## [1401] "70" "12" "12" "12" "12" "12" "12" "12"
## [1409] "12" "12" "12" "12" "12" "28" "28" "28"
## [1417] "28" "28" "28" "28" "28" "28" "28" "28"
## [1425] "28" "28" "28" "28" "28" "28" "28" "3.5"
## [1433] "3.5" "3.5" "3.5" "3.5" "3.5" "5" "5" "5"
## [1441] "5" "5" "5" "3" "3" "3" "3" "3"
## [1449] "3" "3" "3" "3" "6" "6" "6" "6"
## [1457] "6" "6" "6" "6" "6" "14.5" "14.5" "14.5"
## [1465] "14.5" "14.5" "14.5" "14.5" "14.5" "14.5" "14.5" "14.5"
## [1473] "14.5" "14.5" "14.5" "14.5" "20" "20" "20" "20"
## [1481] "20" "20" "20" "20" "20" "20" "20" "20"
## [1489] "20" "20" "20" "20" "20" "20" "20" "20"
## [1497] "20" "3" "3" "3" "3" "3" "3" "29.0"
## [1505] "29.0" "29.0" "29.0" "29.0" "29.0" "29.0" "29.0" "29.0"
## [1513] "29.0" "29.0" "29.0" "29.0" "29.0" "29.0" "29.0" "29.0"
## [1521] "29.0" "98" "98" "98" "98" "98" "98" "98"
## [1529] "98" "98" "98" "98" "98" "98" "98" "98"
## [1537] "98" "98" "98" "98" "98" "98" "98" "98"
## [1545] "98" "98" "98" "98" "98" "98" "98" "3"
## [1553] "3" "3" "3" "3" "3" "23" "23" "23"
## [1561] "23" "23" "23" "23" "23" "23" "23" "23"
## [1569] "23" "23" "23" "23" "23" "23" "23" "3"
## [1577] "3" "3" "3" "3" "3" "9" "9" "9"
## [1585] "9" "9" "9" "9" "9" "9" "9" "9"
## [1593] "9" "6.5" "6.5" "6.5" "6.5" "6.5" "6.5" "6.5"
## [1601] "6.5" "6.5" "6.5" "6.5" "6.5" "49" "49" "49"
## [1609] "49" "49" "49" "49" "49" "49" "49" "49"
## [1617] "49" "49" "49" "49" "49" "49" "49" "49"
## [1625] "49" "49" "49" "49" "49" "32" "32" "32"
## [1633] "32" "32" "32" "32" "32" "32" "32" "32"
## [1641] "32" "32" "32" "32" "32" "32" "32" "4"
## [1649] "4" "4" "4" "4" "4" "11" "11" "11"
## [1657] "11" "11" "11" "11" "11" "11" "11" "11"
## [1665] "11" "6" "6" "6" "6" "6" "6" "10"
## [1673] "10" "10" "10" "10" "10" "10" "10" "10"
## [1681] "10" "10" "10" "80.5" "80.5" "80.5" "80.5" "80.5"
## [1689] "80.5" "80.5" "80.5" "80.5" "80.5" "80.5" "80.5" "80.5"
## [1697] "80.5" "80.5" "80.5" "80.5" "80.5" "80.5" "80.5" "80.5"
## [1705] "80.5" "80.5" "80.5" "80.5" "80.5" "80.5" "5.5" "5.5"
## [1713] "5.5" "5.5" "5.5" "5.5" "4" "4" "4" "4"
## [1721] "4" "4" "14.5" "14.5" "14.5" "14.5" "14.5" "14.5"
## [1729] "14.5" "14.5" "14.5" "14.5" "14.5" "14.5" "15.5" "15.5"
## [1737] "15.5" "15.5" "15.5" "15.5" "15.5" "15.5" "15.5" "15.5"
## [1745] "15.5" "15.5" "15.5" "15.5" "15.5" "15.5" "15.5" "15.5"
## [1753] "2" "2" "2" "2" "2" "2" "104.5" "104.5"
## [1761] "104.5" "104.5" "104.5" "104.5" "104.5" "104.5" "104.5" "104.5"
## [1769] "104.5" "104.5" "104.5" "104.5" "104.5" "104.5" "104.5" "104.5"
## [1777] "104.5" "104.5" "104.5" "104.5" "104.5" "104.5" "104.5" "104.5"
## [1785] "104.5" "104.5" "104.5" "104.5" "104.5" "104.5" "104.5" "104.5"
## [1793] "104.5" "104.5" "6" "6" "6" "6" "6" "6"
## [1801] "2" "2" "2" "2" "2" "2" "53.5" "53.5"
## [1809] "53.5" "53.5" "53.5" "53.5" "53.5" "53.5" "53.5" "53.5"
## [1817] "53.5" "53.5" "53.5" "53.5" "53.5" "53.5" "53.5" "53.5"
## [1825] "53.5" "53.5" "53.5" "53.5" "53.5" "53.5" "53.5" "53.5"
## [1833] "53.5" "53.5" "53.5" "53.5" "23" "23" "23" "23"
## [1841] "23" "23" "23" "23" "23" "23" "23" "23"
## [1849] "23" "23" "23" "23" "23" "23" "30.5" "30.5"
## [1857] "30.5" "30.5" "30.5" "30.5" "30.5" "30.5" "30.5" "30.5"
## [1865] "30.5" "30.5" "30.5" "30.5" "30.5" "30.5" "30.5" "30.5"
## [1873] "20" "20" "20" "20" "20" "20" "20" "20"
## [1881] "20" "20" "20" "20" "33" "33" "33" "33"
## [1889] "33" "33" "33" "33" "33" "33" "33" "33"
## [1897] "33" "33" "33" "33" "33" "33" "19" "19"
## [1905] "19" "19" "19" "19" "19" "19" "19" "19"
## [1913] "19" "19" "41" "41" "41" "41" "41" "41"
## [1921] "41" "41" "41" "41" "41" "41" "41" "41"
## [1929] "41" "41" "41" "41" "8.5" "8.5" "8.5" "8.5"
## [1937] "8.5" "8.5" "8.5" "8.5" "8.5" "8.5" "8.5" "8.5"
## [1945] "5.5" "5.5" "5.5" "5.5" "5.5" "5.5" "5" "5"
## [1953] "5" "5" "5" "5" "27.5" "27.5" "27.5" "27.5"
## [1961] "27.5" "27.5" "27.5" "27.5" "27.5" "27.5" "27.5" "27.5"
## [1969] "12" "12" "12" "12" "12" "12" "12" "12"
## [1977] "12" "12" "12" "12" "178" "178" "178" "178"
## [1985] "178" "178" "178" "178" "178" "178" "178" "178"
## [1993] "178" "178" "178" "178" "178" "178" "178" "178"
## [2001] "178" "178" "178" "178" "178" "178" "178" "178"
## [2009] "178" "178" "178" "178" "178" "178" "178" "178"
## [2017] "24" "24" "24" "24" "24" "24" "24" "24"
## [2025] "24" "24" "24" "24" "24" "24" "24" "24"
## [2033] "24" "24" "17" "17" "17" "17" "17" "17"
## [2041] "17" "17" "17" "17" "17" "17" "17.5" "17.5"
## [2049] "17.5" "17.5" "17.5" "17.5" "17.5" "17.5" "17.5" "17.5"
## [2057] "17.5" "17.5" "98" "98" "98" "98" "98" "98"
## [2065] "98" "98" "98" "98" "98" "98" "98" "98"
## [2073] "98" "98" "98" "98" "98" "98" "98" "98"
## [2081] "98" "98" "98" "98" "98" "3.5" "3.5" "3.5"
## [2089] "3.5" "3.5" "3.5" "21" "21" "21" "21" "21"
## [2097] "21" "21" "21" "21" "21" "21" "21" "21"
## [2105] "21" "21" "21" "21" "21" "94" "94" "94"
## [2113] "94" "94" "94" "94" "94" "94" "94" "94"
## [2121] "94" "94" "94" "94" "94" "94" "94" "94"
## [2129] "94" "94" "94" "94" "94" "94" "94" "94"
## [2137] "94" "94" "94" "10.5" "10.5" "10.5" "10.5" "10.5"
## [2145] "10.5" "10.5" "10.5" "10.5" "10.5" "10.5" "10.5" "80"
## [2153] "80" "80" "80" "80" "80" "80" "80" "80"
## [2161] "80" "80" "80" "80" "80" "80" "80" "80"
## [2169] "80" "80" "80" "80" "80" "80" "80" "80"
## [2177] "80" "80" "80" "80" "80" "22" "22" "22"
## [2185] "22" "22" "22" "22" "22" "22" "22" "22"
## [2193] "22" "22" "22" "22" "22" "22" "22" "87"
## [2201] "87" "87" "87" "87" "87" "87" "87" "87"
## [2209] "87" "87" "87" "87" "87" "87" "87" "87"
## [2217] "87" "87" "87" "87" "87" "87" "87" "87"
## [2225] "87" "87" "87" "87" "87" "81" "81" "81"
## [2233] "81" "81" "81" "81" "81" "81" "81" "81"
## [2241] "81" "81" "81" "81" "2.5" "2.5" "2.5" "10"
## [2249] "10" "10" "10" "10" "10" "10" "10" "10"
## [2257] "16" "16" "16" "16" "16" "16" "4" "4"
## [2265] "4" "3.5" "3.5" "3.5" "10" "10" "10" "10"
## [2273] "10" "10" "9.5" "9.5" "9.5" "9.5" "9.5" "9.5"
## [2281] "17" "17" "17" "17" "17" "17" "3" "3"
## [2289] "3" "9" "9" "9" "5" "5" "5" "26.5"
## [2297] "26.5" "26.5" "26.5" "26.5" "26.5" "26.5" "26.5" "26.5"
## [2305] "7.5" "7.5" "7.5" "8" "8" "8" "8" "8"
## [2313] "8"#Encoding for concrete source and concrete grade features
cube$`Concrete Source` = factor(cube$`Concrete Source`,
levels = c('ACC', 'Lafarge' ),
labels = c(0, 1))
cube$`Concrete Grade` = factor(cube$`Concrete Grade`,
levels = c('M10', 'M15' , 'M40' , 'M50' , 'M70'),
labels = c(0, 1 , 2, 3 , 4))
#Conversion of numerical feature Age to categorical
cube$Age = factor(cube$Age,levels = unique(cube$Age),labels = seq(0,length(unique(cube$Age))-1))
#Handling of missing data
cube$Qty. = ifelse(is.na(cube$Qty.),
ave(cube$Qty., FUN = function(x) mean(x, na.rm = TRUE)),
cube$Qty.)
cube$`Weight in Kg.` = ifelse(is.na(cube$`Weight in Kg.`),
ave(cube$`Weight in Kg.`, FUN = function(x) mean(x, na.rm = TRUE)),
cube$`Weight in Kg.`)
cube$`Density in MT/m3` = ifelse(is.na(cube$`Density in MT/m3`),
ave(cube$`Density in MT/m3`, FUN = function(x) mean(x, na.rm = TRUE)),
cube$`Density in MT/m3`)
cube$`Load in KN` = ifelse(is.na(cube$`Load in KN`),
ave(cube$`Load in KN`, FUN = function(x) mean(x, na.rm = TRUE)),
cube$`Load in KN`)
cube$`Comp. Strength in %` = ifelse(is.na(cube$`Comp. Strength in %`),
ave(cube$`Comp. Strength in %`, FUN = function(x) mean(x, na.rm = TRUE)),
cube$`Comp. Strength in %`)
#
# #Conversion of integer data into double
as.double(cube$Qty.)## [1] 84.0 84.0 84.0 84.0 84.0 84.0 84.0 84.0 84.0 84.0 84.0
## [12] 84.0 113.0 113.0 113.0 113.0 113.0 113.0 113.0 113.0 113.0 113.0
## [23] 113.0 113.0 20.0 20.0 20.0 20.0 20.0 20.0 120.0 120.0 120.0
## [34] 120.0 120.0 120.0 120.0 120.0 120.0 120.0 120.0 120.0 120.0 120.0
## [45] 120.0 120.0 120.0 120.0 131.0 131.0 131.0 131.0 131.0 131.0 131.0
## [56] 131.0 131.0 131.0 131.0 131.0 131.0 131.0 131.0 131.0 131.0 131.0
## [67] 50.0 50.0 50.0 50.0 50.0 50.0 50.0 50.0 50.0 50.0 50.0
## [78] 50.0 36.0 36.0 36.0 36.0 36.0 36.0 36.0 36.0 36.0 36.0
## [89] 36.0 36.0 32.0 32.0 32.0 32.0 32.0 32.0 32.0 32.0 32.0
## [100] 32.0 32.0 32.0 32.0 32.0 32.0 32.0 32.0 32.0 72.0 72.0
## [111] 72.0 72.0 72.0 72.0 72.0 72.0 72.0 72.0 72.0 72.0 27.0
## [122] 27.0 27.0 27.0 27.0 27.0 27.0 27.0 27.0 27.0 27.0 27.0
## [133] 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0
## [144] 38.0 17.0 17.0 17.0 17.0 17.0 17.0 17.0 17.0 17.0 17.0
## [155] 17.0 17.0 22.0 22.0 22.0 22.0 22.0 22.0 22.0 22.0 22.0
## [166] 22.0 22.0 22.0 22.0 22.0 22.0 45.0 45.0 45.0 45.0 45.0
## [177] 45.0 45.0 45.0 45.0 45.0 45.0 45.0 46.0 46.0 46.0 46.0
## [188] 46.0 46.0 46.0 46.0 46.0 46.0 46.0 46.0 21.0 21.0 21.0
## [199] 21.0 21.0 21.0 21.0 21.0 21.0 21.0 21.0 21.0 28.0 28.0
## [210] 28.0 28.0 28.0 28.0 28.0 28.0 28.0 28.0 28.0 28.0 38.0
## [221] 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0
## [232] 16.0 16.0 16.0 16.0 16.0 16.0 22.0 22.0 22.0 22.0 22.0
## [243] 22.0 22.0 22.0 22.0 22.0 22.0 22.0 21.5 21.5 21.5 21.5
## [254] 21.5 21.5 21.5 21.5 21.5 21.5 21.5 21.5 22.5 22.5 22.5
## [265] 22.5 22.5 22.5 22.5 22.5 22.5 22.5 22.5 22.5 18.0 18.0
## [276] 18.0 18.0 18.0 18.0 18.0 18.0 18.0 18.0 18.0 18.0 32.0
## [287] 32.0 32.0 32.0 32.0 32.0 32.0 32.0 32.0 32.0 32.0 32.0
## [298] 52.0 52.0 52.0 52.0 52.0 52.0 52.0 52.0 52.0 52.0 52.0
## [309] 52.0 50.0 50.0 50.0 50.0 50.0 50.0 50.0 50.0 50.0 50.0
## [320] 50.0 50.0 25.0 25.0 25.0 25.0 25.0 25.0 25.0 25.0 25.0
## [331] 25.0 25.0 25.0 17.0 17.0 17.0 17.0 17.0 17.0 17.0 17.0
## [342] 17.0 17.0 17.0 17.0 33.0 33.0 33.0 33.0 33.0 33.0 33.0
## [353] 33.0 33.0 33.0 33.0 33.0 28.0 28.0 28.0 28.0 28.0 28.0
## [364] 28.0 28.0 28.0 28.0 28.0 28.0 29.5 29.5 29.5 29.5 29.5
## [375] 29.5 29.5 29.5 29.5 29.5 29.5 29.5 178.0 178.0 178.0 178.0
## [386] 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0
## [397] 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0
## [408] 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0
## [419] 178.0 178.0 178.0 178.0 178.0 11.0 11.0 11.0 11.0 11.0 11.0
## [430] 11.0 11.0 11.0 11.0 11.0 11.0 22.0 22.0 22.0 22.0 22.0
## [441] 22.0 22.0 22.0 22.0 22.0 22.0 22.0 16.0 16.0 16.0 16.0
## [452] 16.0 16.0 16.0 16.0 16.0 16.0 16.0 16.0 155.0 155.0 155.0
## [463] 155.0 155.0 155.0 155.0 155.0 155.0 155.0 155.0 155.0 155.0 155.0
## [474] 155.0 155.0 155.0 155.0 155.0 155.0 155.0 155.0 155.0 155.0 155.0
## [485] 155.0 155.0 155.0 155.0 155.0 155.0 155.0 155.0 155.0 155.0 155.0
## [496] 155.0 155.0 155.0 155.0 155.0 155.0 40.0 40.0 40.0 40.0 40.0
## [507] 40.0 40.0 40.0 40.0 40.0 40.0 40.0 40.0 40.0 40.0 40.0
## [518] 40.0 40.0 25.0 25.0 25.0 25.0 25.0 25.0 25.0 25.0 25.0
## [529] 25.0 25.0 25.0 25.0 25.0 25.0 25.0 25.0 25.0 104.0 104.0
## [540] 104.0 104.0 104.0 104.0 104.0 104.0 104.0 104.0 104.0 104.0 104.0
## [551] 104.0 104.0 104.0 104.0 104.0 104.0 104.0 104.0 104.0 104.0 104.0
## [562] 104.0 104.0 104.0 192.0 192.0 192.0 192.0 192.0 192.0 192.0 192.0
## [573] 192.0 192.0 192.0 192.0 192.0 192.0 192.0 192.0 192.0 192.0 192.0
## [584] 192.0 192.0 192.0 192.0 192.0 192.0 192.0 192.0 192.0 192.0 192.0
## [595] 192.0 192.0 192.0 192.0 192.0 192.0 192.0 192.0 192.0 192.0 192.0
## [606] 192.0 192.0 192.0 192.0 192.0 192.0 192.0 36.0 36.0 36.0 36.0
## [617] 36.0 36.0 36.0 36.0 36.0 36.0 36.0 36.0 36.0 36.0 36.0
## [628] 36.0 36.0 36.0 36.0 36.0 36.0 36.0 36.0 36.0 8.5 8.5
## [639] 8.5 8.5 8.5 8.5 83.0 83.0 83.0 83.0 83.0 83.0 83.0
## [650] 83.0 83.0 83.0 83.0 83.0 83.0 83.0 83.0 83.0 83.0 83.0
## [661] 83.0 83.0 83.0 83.0 83.0 83.0 83.0 83.0 83.0 83.0 83.0
## [672] 83.0 100.0 100.0 100.0 100.0 100.0 100.0 800.0 800.0 800.0 800.0
## [683] 800.0 800.0 800.0 800.0 800.0 800.0 800.0 800.0 800.0 800.0 800.0
## [694] 800.0 800.0 800.0 800.0 800.0 800.0 800.0 800.0 800.0 800.0 800.0
## [705] 800.0 800.0 800.0 800.0 300.0 300.0 300.0 300.0 300.0 300.0 300.0
## [716] 300.0 300.0 300.0 300.0 300.0 344.0 344.0 344.0 344.0 344.0 344.0
## [727] 344.0 344.0 344.0 344.0 344.0 344.0 84.0 84.0 84.0 84.0 84.0
## [738] 84.0 84.0 84.0 84.0 84.0 84.0 84.0 84.0 84.0 84.0 84.0
## [749] 84.0 84.0 84.0 84.0 84.0 84.0 84.0 84.0 84.0 84.0 84.0
## [760] 84.0 84.0 84.0 6.0 6.0 6.0 6.0 6.0 6.0 6.0 6.0
## [771] 6.0 6.0 6.0 6.0 144.0 144.0 144.0 144.0 144.0 144.0 144.0
## [782] 144.0 144.0 144.0 144.0 144.0 144.0 144.0 144.0 144.0 144.0 144.0
## [793] 144.0 144.0 144.0 144.0 144.0 144.0 144.0 144.0 144.0 144.0 144.0
## [804] 144.0 144.0 144.0 144.0 144.0 144.0 144.0 52.0 52.0 52.0 52.0
## [815] 52.0 52.0 52.0 52.0 52.0 52.0 52.0 52.0 52.0 52.0 52.0
## [826] 52.0 52.0 52.0 52.0 52.0 52.0 52.0 52.0 52.0 52.0 52.0
## [837] 52.0 52.0 52.0 52.0 8.0 8.0 8.0 56.0 56.0 56.0 56.0
## [848] 56.0 56.0 56.0 56.0 56.0 56.0 56.0 56.0 56.0 56.0 56.0
## [859] 56.0 56.0 56.0 56.0 56.0 56.0 56.0 56.0 56.0 56.0 56.0
## [870] 56.0 56.0 56.0 56.0 56.0 56.0 56.0 56.0 56.0 56.0 173.0
## [881] 173.0 173.0 173.0 173.0 173.0 173.0 173.0 173.0 173.0 173.0 173.0
## [892] 173.0 173.0 173.0 173.0 173.0 173.0 173.0 173.0 173.0 173.0 173.0
## [903] 173.0 173.0 173.0 173.0 173.0 173.0 173.0 173.0 173.0 173.0 173.0
## [914] 173.0 173.0 755.0 755.0 755.0 755.0 755.0 755.0 755.0 755.0 755.0
## [925] 755.0 755.0 755.0 755.0 755.0 755.0 755.0 755.0 755.0 755.0 755.0
## [936] 755.0 755.0 755.0 755.0 755.0 755.0 755.0 755.0 755.0 755.0 755.0
## [947] 755.0 755.0 755.0 755.0 755.0 755.0 755.0 755.0 755.0 755.0 755.0
## [958] 755.0 755.0 755.0 755.0 755.0 755.0 755.0 755.0 755.0 719.5 719.5
## [969] 719.5 719.5 719.5 719.5 719.5 719.5 719.5 719.5 719.5 719.5 719.5
## [980] 719.5 719.5 719.5 719.5 719.5 719.5 719.5 719.5 719.5 719.5 719.5
## [991] 719.5 719.5 719.5 719.5 719.5 719.5 719.5 719.5 719.5 719.5 719.5
## [1002] 719.5 719.5 719.5 719.5 42.0 42.0 42.0 42.0 42.0 42.0 42.0
## [1013] 42.0 42.0 42.0 42.0 42.0 42.0 42.0 42.0 42.0 42.0 42.0
## [1024] 30.0 30.0 30.0 30.0 30.0 30.0 30.0 30.0 30.0 30.0 30.0
## [1035] 30.0 30.0 30.0 30.0 30.0 30.0 30.0 80.0 80.0 80.0 80.0
## [1046] 80.0 80.0 80.0 80.0 80.0 80.0 80.0 80.0 80.0 80.0 80.0
## [1057] 80.0 80.0 80.0 80.0 80.0 80.0 80.0 80.0 80.0 54.0 54.0
## [1068] 54.0 54.0 54.0 54.0 54.0 54.0 54.0 54.0 54.0 54.0 54.0
## [1079] 54.0 54.0 54.0 54.0 54.0 54.0 54.0 54.0 54.0 54.0 54.0
## [1090] 5.0 5.0 5.0 5.0 5.0 5.0 10.0 10.0 10.0 10.0 10.0
## [1101] 10.0 10.0 10.0 10.0 10.0 10.0 10.0 5.0 5.0 5.0 5.0
## [1112] 5.0 5.0 6.0 6.0 6.0 6.0 6.0 6.0 5.5 5.5 5.5
## [1123] 5.5 5.5 5.5 5.0 5.0 5.0 5.0 5.0 5.0 5.0 5.0
## [1134] 5.0 5.0 5.0 5.0 5.0 5.0 5.0 5.0 5.0 5.0 24.0
## [1145] 24.0 24.0 24.0 24.0 24.0 24.0 24.0 24.0 24.0 24.0 24.0
## [1156] 24.0 24.0 24.0 24.0 24.0 24.0 7.5 7.5 7.5 7.5 7.5
## [1167] 7.5 7.5 7.5 7.5 7.5 7.5 7.5 22.0 22.0 22.0 22.0
## [1178] 22.0 22.0 22.0 22.0 22.0 22.0 22.0 22.0 22.0 22.0 22.0
## [1189] 22.0 22.0 22.0 5.5 5.5 5.5 5.5 5.5 5.5 5.5 5.5
## [1200] 5.5 5.5 5.5 5.5 3.0 3.0 3.0 3.0 3.0 3.0 36.0
## [1211] 36.0 36.0 36.0 36.0 36.0 36.0 36.0 36.0 36.0 36.0 36.0
## [1222] 36.0 36.0 36.0 36.0 36.0 36.0 36.0 36.0 36.0 36.0 36.0
## [1233] 36.0 54.0 54.0 54.0 54.0 54.0 54.0 54.0 54.0 54.0 54.0
## [1244] 54.0 54.0 54.0 54.0 54.0 54.0 54.0 54.0 54.0 54.0 54.0
## [1255] 54.0 54.0 54.0 6.0 6.0 6.0 6.0 6.0 6.0 48.0 48.0
## [1266] 48.0 48.0 48.0 48.0 48.0 48.0 48.0 48.0 48.0 48.0 48.0
## [1277] 48.0 48.0 48.0 48.0 48.0 48.0 48.0 48.0 48.0 48.0 48.0
## [1288] 23.0 23.0 23.0 23.0 23.0 23.0 23.0 23.0 23.0 23.0 23.0
## [1299] 23.0 23.0 23.0 23.0 23.0 23.0 23.0 4.0 4.0 4.0 4.0
## [1310] 4.0 4.0 14.0 14.0 14.0 14.0 14.0 14.0 14.0 14.0 14.0
## [1321] 14.0 14.0 14.0 16.0 16.0 16.0 16.0 16.0 16.0 16.0 16.0
## [1332] 16.0 16.0 16.0 16.0 17.0 17.0 17.0 17.0 17.0 17.0 17.0
## [1343] 17.0 17.0 17.0 17.0 17.0 17.0 17.0 17.0 17.0 17.0 17.0
## [1354] 24.0 24.0 24.0 24.0 24.0 24.0 24.0 24.0 24.0 24.0 24.0
## [1365] 24.0 24.0 24.0 24.0 24.0 24.0 24.0 70.0 70.0 70.0 70.0
## [1376] 70.0 70.0 70.0 70.0 70.0 70.0 70.0 70.0 70.0 70.0 70.0
## [1387] 70.0 70.0 70.0 70.0 70.0 70.0 70.0 70.0 70.0 70.0 70.0
## [1398] 70.0 70.0 70.0 70.0 12.0 12.0 12.0 12.0 12.0 12.0 12.0
## [1409] 12.0 12.0 12.0 12.0 12.0 28.0 28.0 28.0 28.0 28.0 28.0
## [1420] 28.0 28.0 28.0 28.0 28.0 28.0 28.0 28.0 28.0 28.0 28.0
## [1431] 28.0 3.5 3.5 3.5 3.5 3.5 3.5 5.0 5.0 5.0 5.0
## [1442] 5.0 5.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0
## [1453] 6.0 6.0 6.0 6.0 6.0 6.0 6.0 6.0 6.0 14.5 14.5
## [1464] 14.5 14.5 14.5 14.5 14.5 14.5 14.5 14.5 14.5 14.5 14.5
## [1475] 14.5 14.5 20.0 20.0 20.0 20.0 20.0 20.0 20.0 20.0 20.0
## [1486] 20.0 20.0 20.0 20.0 20.0 20.0 20.0 20.0 20.0 20.0 20.0
## [1497] 20.0 3.0 3.0 3.0 3.0 3.0 3.0 29.0 29.0 29.0 29.0
## [1508] 29.0 29.0 29.0 29.0 29.0 29.0 29.0 29.0 29.0 29.0 29.0
## [1519] 29.0 29.0 29.0 98.0 98.0 98.0 98.0 98.0 98.0 98.0 98.0
## [1530] 98.0 98.0 98.0 98.0 98.0 98.0 98.0 98.0 98.0 98.0 98.0
## [1541] 98.0 98.0 98.0 98.0 98.0 98.0 98.0 98.0 98.0 98.0 98.0
## [1552] 3.0 3.0 3.0 3.0 3.0 3.0 23.0 23.0 23.0 23.0 23.0
## [1563] 23.0 23.0 23.0 23.0 23.0 23.0 23.0 23.0 23.0 23.0 23.0
## [1574] 23.0 23.0 3.0 3.0 3.0 3.0 3.0 3.0 9.0 9.0 9.0
## [1585] 9.0 9.0 9.0 9.0 9.0 9.0 9.0 9.0 9.0 6.5 6.5
## [1596] 6.5 6.5 6.5 6.5 6.5 6.5 6.5 6.5 6.5 6.5 49.0
## [1607] 49.0 49.0 49.0 49.0 49.0 49.0 49.0 49.0 49.0 49.0 49.0
## [1618] 49.0 49.0 49.0 49.0 49.0 49.0 49.0 49.0 49.0 49.0 49.0
## [1629] 49.0 32.0 32.0 32.0 32.0 32.0 32.0 32.0 32.0 32.0 32.0
## [1640] 32.0 32.0 32.0 32.0 32.0 32.0 32.0 32.0 4.0 4.0 4.0
## [1651] 4.0 4.0 4.0 11.0 11.0 11.0 11.0 11.0 11.0 11.0 11.0
## [1662] 11.0 11.0 11.0 11.0 6.0 6.0 6.0 6.0 6.0 6.0 10.0
## [1673] 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0
## [1684] 80.5 80.5 80.5 80.5 80.5 80.5 80.5 80.5 80.5 80.5 80.5
## [1695] 80.5 80.5 80.5 80.5 80.5 80.5 80.5 80.5 80.5 80.5 80.5
## [1706] 80.5 80.5 80.5 80.5 80.5 5.5 5.5 5.5 5.5 5.5 5.5
## [1717] 4.0 4.0 4.0 4.0 4.0 4.0 14.5 14.5 14.5 14.5 14.5
## [1728] 14.5 14.5 14.5 14.5 14.5 14.5 14.5 15.5 15.5 15.5 15.5
## [1739] 15.5 15.5 15.5 15.5 15.5 15.5 15.5 15.5 15.5 15.5 15.5
## [1750] 15.5 15.5 15.5 2.0 2.0 2.0 2.0 2.0 2.0 104.5 104.5
## [1761] 104.5 104.5 104.5 104.5 104.5 104.5 104.5 104.5 104.5 104.5 104.5
## [1772] 104.5 104.5 104.5 104.5 104.5 104.5 104.5 104.5 104.5 104.5 104.5
## [1783] 104.5 104.5 104.5 104.5 104.5 104.5 104.5 104.5 104.5 104.5 104.5
## [1794] 104.5 6.0 6.0 6.0 6.0 6.0 6.0 2.0 2.0 2.0 2.0
## [1805] 2.0 2.0 53.5 53.5 53.5 53.5 53.5 53.5 53.5 53.5 53.5
## [1816] 53.5 53.5 53.5 53.5 53.5 53.5 53.5 53.5 53.5 53.5 53.5
## [1827] 53.5 53.5 53.5 53.5 53.5 53.5 53.5 53.5 53.5 53.5 23.0
## [1838] 23.0 23.0 23.0 23.0 23.0 23.0 23.0 23.0 23.0 23.0 23.0
## [1849] 23.0 23.0 23.0 23.0 23.0 23.0 30.5 30.5 30.5 30.5 30.5
## [1860] 30.5 30.5 30.5 30.5 30.5 30.5 30.5 30.5 30.5 30.5 30.5
## [1871] 30.5 30.5 20.0 20.0 20.0 20.0 20.0 20.0 20.0 20.0 20.0
## [1882] 20.0 20.0 20.0 33.0 33.0 33.0 33.0 33.0 33.0 33.0 33.0
## [1893] 33.0 33.0 33.0 33.0 33.0 33.0 33.0 33.0 33.0 33.0 19.0
## [1904] 19.0 19.0 19.0 19.0 19.0 19.0 19.0 19.0 19.0 19.0 19.0
## [1915] 41.0 41.0 41.0 41.0 41.0 41.0 41.0 41.0 41.0 41.0 41.0
## [1926] 41.0 41.0 41.0 41.0 41.0 41.0 41.0 8.5 8.5 8.5 8.5
## [1937] 8.5 8.5 8.5 8.5 8.5 8.5 8.5 8.5 5.5 5.5 5.5
## [1948] 5.5 5.5 5.5 5.0 5.0 5.0 5.0 5.0 5.0 27.5 27.5
## [1959] 27.5 27.5 27.5 27.5 27.5 27.5 27.5 27.5 27.5 27.5 12.0
## [1970] 12.0 12.0 12.0 12.0 12.0 12.0 12.0 12.0 12.0 12.0 12.0
## [1981] 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0
## [1992] 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0
## [2003] 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0 178.0
## [2014] 178.0 178.0 178.0 24.0 24.0 24.0 24.0 24.0 24.0 24.0 24.0
## [2025] 24.0 24.0 24.0 24.0 24.0 24.0 24.0 24.0 24.0 24.0 17.0
## [2036] 17.0 17.0 17.0 17.0 17.0 17.0 17.0 17.0 17.0 17.0 17.0
## [2047] 17.5 17.5 17.5 17.5 17.5 17.5 17.5 17.5 17.5 17.5 17.5
## [2058] 17.5 98.0 98.0 98.0 98.0 98.0 98.0 98.0 98.0 98.0 98.0
## [2069] 98.0 98.0 98.0 98.0 98.0 98.0 98.0 98.0 98.0 98.0 98.0
## [2080] 98.0 98.0 98.0 98.0 98.0 98.0 3.5 3.5 3.5 3.5 3.5
## [2091] 3.5 21.0 21.0 21.0 21.0 21.0 21.0 21.0 21.0 21.0 21.0
## [2102] 21.0 21.0 21.0 21.0 21.0 21.0 21.0 21.0 94.0 94.0 94.0
## [2113] 94.0 94.0 94.0 94.0 94.0 94.0 94.0 94.0 94.0 94.0 94.0
## [2124] 94.0 94.0 94.0 94.0 94.0 94.0 94.0 94.0 94.0 94.0 94.0
## [2135] 94.0 94.0 94.0 94.0 94.0 10.5 10.5 10.5 10.5 10.5 10.5
## [2146] 10.5 10.5 10.5 10.5 10.5 10.5 80.0 80.0 80.0 80.0 80.0
## [2157] 80.0 80.0 80.0 80.0 80.0 80.0 80.0 80.0 80.0 80.0 80.0
## [2168] 80.0 80.0 80.0 80.0 80.0 80.0 80.0 80.0 80.0 80.0 80.0
## [2179] 80.0 80.0 80.0 22.0 22.0 22.0 22.0 22.0 22.0 22.0 22.0
## [2190] 22.0 22.0 22.0 22.0 22.0 22.0 22.0 22.0 22.0 22.0 87.0
## [2201] 87.0 87.0 87.0 87.0 87.0 87.0 87.0 87.0 87.0 87.0 87.0
## [2212] 87.0 87.0 87.0 87.0 87.0 87.0 87.0 87.0 87.0 87.0 87.0
## [2223] 87.0 87.0 87.0 87.0 87.0 87.0 87.0 81.0 81.0 81.0 81.0
## [2234] 81.0 81.0 81.0 81.0 81.0 81.0 81.0 81.0 81.0 81.0 81.0
## [2245] 2.5 2.5 2.5 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0
## [2256] 10.0 16.0 16.0 16.0 16.0 16.0 16.0 4.0 4.0 4.0 3.5
## [2267] 3.5 3.5 10.0 10.0 10.0 10.0 10.0 10.0 9.5 9.5 9.5
## [2278] 9.5 9.5 9.5 17.0 17.0 17.0 17.0 17.0 17.0 3.0 3.0
## [2289] 3.0 9.0 9.0 9.0 5.0 5.0 5.0 26.5 26.5 26.5 26.5
## [2300] 26.5 26.5 26.5 26.5 26.5 7.5 7.5 7.5 8.0 8.0 8.0
## [2311] 8.0 8.0 8.0as.double(cube$`Weight in Kg.`)## [1] 8.730000 8.261000 8.508000 8.730000 8.560000 8.340000 8.681000
## [8] 8.267000 8.426000 8.130000 8.250000 8.310000 8.130000 8.464000
## [15] 8.373000 8.145000 8.245000 8.330000 8.415000 8.331000 8.395000
## [22] 8.245000 8.350000 8.160000 8.429000 8.346000 8.295000 8.393000
## [29] 8.498000 8.389000 8.140000 8.220000 8.310000 8.781000 8.643000
## [36] 8.601000 8.150000 8.210000 8.340000 8.489000 8.564000 8.619000
## [43] 8.240000 8.312000 8.415000 8.653000 8.512000 8.498000 8.240000
## [50] 8.312000 8.415000 8.765000 8.619000 8.534000 8.210000 8.390000
## [57] 8.420000 8.625000 8.576000 8.701000 8.145000 8.245000 8.125000
## [64] 8.609000 8.613000 8.659000 8.245000 8.492000 8.243000 8.469000
## [71] 8.568000 8.701000 8.345000 8.435000 8.245000 8.634000 8.593000
## [78] 8.485000 8.510000 8.412000 8.175000 8.801000 8.765000 8.469000
## [85] 8.435000 8.398000 8.517000 8.512000 8.609000 8.661000 8.459000
## [92] 8.386000 8.472000 8.793000 8.809000 8.765000 8.571000 8.321000
## [99] 8.495000 8.812000 8.693000 8.581000 8.325000 8.517000 8.491000
## [106] 8.488000 8.564000 8.605000 8.359000 8.512000 8.421000 8.585000
## [113] 8.698000 8.772000 8.421000 8.394000 8.452000 8.821000 8.645000
## [120] 8.465000 8.616000 8.527000 8.317000 8.705000 8.695000 8.543000
## [127] 8.394000 8.502000 8.471000 8.449000 8.605000 8.713000 8.372000
## [134] 8.050000 8.215000 8.750000 8.723000 8.709000 8.192000 8.253000
## [141] 8.112000 8.810000 8.675000 8.683000 8.296000 8.401000 8.319000
## [148] 8.595000 8.705000 8.612000 8.109000 8.119000 8.205000 8.533000
## [155] 8.611000 8.699000 8.754000 8.795000 8.823000 8.454000 8.501000
## [162] 8.631000 8.759000 8.610000 8.693000 8.459000 8.694000 8.789000
## [169] 8.584000 8.689000 8.795000 8.554000 8.701000 8.356000 8.785000
## [176] 8.793000 8.440000 8.291000 8.192000 8.451000 8.683000 8.740000
## [183] 8.644000 8.254000 8.369000 8.501000 8.560000 8.469000 8.375000
## [190] 8.642000 8.250000 8.199000 8.473400 8.558000 8.492000 8.359000
## [197] 8.411000 8.509000 8.352000 8.653000 8.512000 8.611000 8.403000
## [204] 8.361000 8.554000 8.701000 8.192000 8.438000 8.450000 8.534000
## [211] 8.499000 8.653000 8.512000 8.610000 8.426000 8.624000 8.611000
## [218] 8.744000 8.598000 8.789000 8.653000 8.598000 8.642000 8.510000
## [225] 8.369000 8.605000 8.456000 8.325000 8.356000 8.400000 8.579000
## [232] 8.613000 8.744000 8.598000 8.820000 8.450000 8.405000 8.569000
## [239] 8.678000 8.781000 8.385000 8.440000 8.429000 8.495000 8.760000
## [246] 8.644000 8.659000 8.534000 8.488000 8.489000 8.561000 8.708000
## [253] 8.820000 8.450000 8.405000 8.626000 8.801000 8.522000 8.385000
## [260] 8.440000 8.429000 8.569000 8.678000 8.781000 8.385000 8.440000
## [267] 8.429000 8.495000 8.760000 8.644000 8.659000 8.534000 8.488000
## [274] 8.821000 8.605000 8.594000 8.689000 8.583000 8.485000 8.586000
## [281] 8.725000 8.760000 8.591000 8.644000 8.702000 8.301000 8.548000
## [288] 8.288000 8.329000 8.411000 8.442000 8.313000 8.409000 8.271000
## [295] 8.315000 8.392000 8.410000 8.199000 8.254000 8.250000 8.450000
## [302] 8.385000 8.392000 8.240000 8.312000 8.340000 8.390000 8.325000
## [309] 8.315000 8.429000 8.346000 8.395000 8.340000 8.445000 8.305000
## [316] 8.261000 8.350000 8.464000 8.460000 8.470000 8.530000 8.426000
## [323] 8.529000 8.352000 8.275000 8.265000 8.375000 8.571000 8.341000
## [330] 8.495000 8.402000 8.330000 8.340000 8.325000 8.517000 8.491000
## [337] 8.525000 8.470000 8.385000 8.245000 8.492000 8.243000 8.329000
## [344] 8.735000 8.625000 8.485000 8.674000 8.665000 8.429000 8.611000
## [351] 8.621000 8.549000 8.699000 8.583000 8.592000 8.657000 8.315000
## [358] 8.612000 8.593000 8.458000 8.055000 8.351000 8.429000 8.484000
## [365] 8.563000 8.612000 8.315000 8.420000 8.510000 8.586000 8.461000
## [372] 8.445000 8.312000 8.432000 8.381000 8.489000 8.561000 8.708000
## [379] 8.501000 8.392000 8.405000 8.525000 8.585000 8.560000 8.490000
## [386] 8.575000 8.520000 8.525000 8.535000 8.628000 8.520000 8.580000
## [393] 8.550000 8.590000 8.621000 8.700000 8.620000 8.555000 8.720000
## [400] 8.592000 8.645000 8.650000 8.630000 8.760000 8.610000 8.440000
## [407] 8.570000 8.510000 8.660000 8.860000 8.760000 8.497000 8.510000
## [414] 8.610000 8.590000 8.460000 8.540000 8.705000 8.629000 8.720000
## [421] 8.620000 8.650000 8.670000 8.788000 8.539000 8.645000 8.341000
## [428] 8.550000 8.470000 8.392000 8.651000 8.529000 8.050000 8.740000
## [435] 8.120000 8.429000 8.351000 8.470000 8.625000 8.405000 8.525000
## [442] 8.419000 8.320000 8.219000 8.495000 8.435000 8.395000 8.240000
## [449] 8.295000 8.270000 8.515000 8.375000 8.475000 8.375000 8.480000
## [456] 8.435000 8.540000 8.460000 8.493000 8.100000 8.590000 8.630000
## [463] 8.485000 8.520000 8.630000 8.640000 8.590000 8.621000 8.510000
## [470] 8.600000 8.630000 8.550000 8.527000 8.621000 8.740000 8.570000
## [477] 8.640000 8.535000 8.545000 8.610000 8.705000 8.650000 8.380000
## [484] 8.420000 8.559000 8.660000 8.470000 8.795000 8.670000 8.600000
## [491] 8.585000 8.805000 8.735000 8.860000 8.685000 8.670000 8.850000
## [498] 8.525000 8.630000 8.790000 8.470000 8.505000 8.550000 8.521000
## [505] 8.480000 8.520000 8.570000 8.601000 8.396000 8.410000 8.720000
## [512] 8.645000 8.780000 8.526000 8.483000 8.529000 8.315000 8.330000
## [519] 8.640000 8.550000 8.532000 8.632000 8.780000 8.700000 8.690000
## [526] 8.493000 8.733000 8.558000 8.640000 8.540000 8.410000 8.592000
## [533] 8.631000 8.691000 8.615000 8.665000 8.790000 8.388000 8.626000
## [540] 8.680000 8.660000 8.590000 8.595000 8.700000 8.722000 8.630000
## [547] 8.880000 8.695000 8.765000 8.400000 8.500000 8.750000 8.570000
## [554] 8.685000 8.720000 8.701000 8.500000 8.620000 8.620000 8.545000
## [561] 8.850000 8.780000 8.770000 8.635000 8.592000 8.631000 8.691000
## [568] 8.580000 8.645000 8.625000 8.510000 8.430000 8.460000 8.475000
## [575] 8.430000 8.495000 8.445000 8.485000 8.435000 8.485000 8.570000
## [582] 8.480000 8.615000 8.540000 8.390000 8.585000 8.570000 8.545000
## [589] 8.525000 8.640000 8.550000 8.600000 8.700000 8.580000 8.585000
## [596] 8.330000 8.385000 8.575000 8.505000 8.425000 8.395000 8.470000
## [603] 8.475000 8.460000 8.490000 8.485000 8.430000 8.420000 8.495000
## [610] 8.447000 8.858500 8.585000 8.410000 8.210000 8.130000 8.550000
## [617] 8.560000 8.535000 8.650000 8.430000 8.710000 8.630000 8.665000
## [624] 8.650000 8.340000 8.390000 8.395000 8.490000 8.435000 8.450000
## [631] 8.435000 8.530000 8.420000 8.530000 8.475000 8.525000 8.470000
## [638] 8.520000 8.540000 8.510000 8.400000 8.530000 8.675000 8.610000
## [645] 8.630000 8.810000 8.675000 8.660000 8.825000 8.725000 8.650000
## [652] 8.645000 8.755000 8.660000 8.595000 8.795000 8.710000 8.680000
## [659] 8.780000 8.775000 8.300000 8.390000 8.210000 8.185000 8.270000
## [666] 8.345000 8.490000 8.555000 8.565000 8.625000 8.640000 8.620000
## [673] 8.435000 8.600000 8.500000 8.680000 8.590000 8.480000 8.400000
## [680] 8.450000 8.645000 8.560000 8.490000 8.485000 8.390000 8.430000
## [687] 8.430000 8.300000 8.340000 8.445000 8.745000 8.505000 8.408000
## [694] 8.525000 8.520000 8.310000 8.540000 8.556000 8.550000 8.340000
## [701] 8.510000 8.550000 8.100000 8.070000 8.570000 8.450000 8.430000
## [708] 8.160000 8.435000 8.570000 8.505000 8.290000 8.260000 8.340000
## [715] 8.590000 8.355000 8.410000 8.265000 8.140000 8.350000 8.585000
## [722] 8.740000 8.485000 8.445000 8.460000 8.510000 8.570000 8.700000
## [729] 8.615000 8.580000 8.230000 8.370000 8.485000 8.500000 8.525000
## [736] 8.660000 8.655000 8.515000 8.710000 8.515000 8.605000 8.725000
## [743] 8.590000 8.760000 8.830000 8.650000 8.825000 8.650000 8.530000
## [750] 8.510000 8.500000 8.625000 8.600000 8.490000 8.450000 8.550000
## [757] 8.450000 8.410000 8.485000 8.700000 8.585000 8.590000 8.845000
## [764] 8.760000 8.900000 8.770000 8.740000 8.550000 8.650000 8.610000
## [771] 8.605000 8.710000 8.715000 8.700000 8.640000 8.775000 8.510000
## [778] 8.335000 8.460000 8.355000 8.840000 8.830000 8.780000 8.450000
## [785] 8.540000 8.440000 8.705000 8.995000 8.840000 8.585000 8.470000
## [792] 8.500000 8.595000 8.630000 8.690000 8.425000 8.250000 8.285000
## [799] 8.655000 8.670000 8.700000 8.470000 8.480000 8.480000 8.630000
## [806] 8.735000 8.640000 8.600000 8.660000 8.640000 8.615000 8.590000
## [813] 8.690000 8.735000 8.720000 8.670000 8.600000 8.540000 8.575000
## [820] 8.660000 8.585000 8.650000 8.775000 8.700000 8.685000 8.715000
## [827] 8.680000 8.820000 8.650000 8.690000 8.700000 8.745000 8.760000
## [834] 8.770000 8.800000 8.735000 8.875000 8.735000 8.780000 8.745000
## [841] 8.370000 8.210000 8.340000 8.340000 8.320000 8.300000 8.565000
## [848] 8.365000 8.400000 8.360000 8.280000 8.290000 8.290000 8.215000
## [855] 8.465000 8.320000 8.405000 8.440000 8.240000 8.220000 8.380000
## [862] 8.465000 8.420000 8.440000 8.435000 8.600000 8.405000 8.390000
## [869] 8.410000 8.365000 8.285000 8.220000 8.330000 8.390000 8.345000
## [876] 8.420000 8.290000 8.265000 8.110000 8.145000 8.760000 8.460000
## [883] 8.265000 8.400000 8.325000 8.425000 8.135000 8.060000 8.175000
## [890] 8.570000 8.525000 8.310000 8.425000 8.500000 8.565000 8.590000
## [897] 8.200000 8.560000 8.405000 8.240000 8.520000 8.530000 8.365000
## [904] 8.220000 8.420000 8.715000 8.740000 8.525000 8.740000 8.295000
## [911] 8.345000 8.405000 8.250000 8.760000 8.470000 8.450000 8.100000
## [918] 8.660000 8.350000 8.175000 8.400000 8.275000 8.720000 8.215000
## [925] 8.514789 8.390000 8.400000 8.260000 8.514789 8.514789 8.605000
## [932] 8.470000 8.460000 8.045000 8.480000 8.500000 8.580000 8.270000
## [939] 8.580000 8.580000 8.330000 8.350000 8.200000 8.235000 8.620000
## [946] 8.335000 8.430000 8.375000 8.200000 8.340000 8.520000 8.200000
## [953] 8.445000 8.310000 8.315000 8.385000 8.300000 8.540000 8.450000
## [960] 8.390000 8.270000 8.105000 8.410000 8.435000 8.540000 8.395000
## [967] 8.370000 8.195000 8.330000 8.140000 8.350000 8.180000 8.240000
## [974] 8.510000 8.420000 8.290000 8.180000 8.080000 8.140000 8.080000
## [981] 8.220000 8.200000 8.490000 8.170000 8.430000 8.410000 8.305000
## [988] 8.290000 8.465000 8.390000 8.300000 8.490000 8.340000 8.375000
## [995] 8.590000 8.540000 8.570000 8.530000 8.440000 8.170000 8.190000
## [1002] 8.480000 8.075000 8.165000 8.320000 8.290000 8.360000 8.540000
## [1009] 8.230000 8.255000 8.465000 8.240000 8.140000 8.170000 8.230000
## [1016] 8.250000 8.290000 8.125000 8.170000 8.130000 8.270000 8.290000
## [1023] 8.290000 8.030000 7.900000 7.880000 8.590000 8.470000 8.880000
## [1030] 7.960000 7.940000 7.960000 8.670000 8.680000 8.625000 8.410000
## [1037] 8.340000 8.235000 8.605000 8.490000 8.565000 8.120000 8.210000
## [1044] 8.130000 8.350000 8.390000 8.175000 8.160000 8.190000 8.180000
## [1051] 8.430000 8.280000 8.270000 8.190000 8.235000 8.210000 8.345000
## [1058] 8.330000 8.300000 8.220000 8.260000 8.155000 8.105000 8.150000
## [1065] 8.300000 8.695000 8.735000 8.640000 8.235000 8.255000 8.345000
## [1072] 8.565000 8.585000 8.550000 8.425000 8.540000 8.480000 8.790000
## [1079] 8.590000 8.680000 8.685000 8.675000 8.632000 8.640000 8.650000
## [1086] 8.642000 8.650000 8.600000 8.535000 8.450000 8.600000 8.435000
## [1093] 8.290000 8.180000 8.335000 8.460000 8.600000 8.620000 8.410000
## [1100] 8.460000 8.370000 8.570000 8.680000 8.715000 8.510000 8.470000
## [1107] 8.470000 8.490000 8.460000 8.380000 8.400000 8.335000 8.410000
## [1114] 8.700000 8.805000 8.650000 8.735000 8.700000 8.605000 8.415000
## [1121] 8.455000 8.465000 8.510000 8.490000 8.475000 8.555000 8.595000
## [1128] 8.550000 8.720000 8.625000 8.630000 8.590000 8.610000 8.560000
## [1135] 8.500000 8.535000 8.595000 8.640000 8.660000 8.770000 8.875000
## [1142] 8.850000 8.770000 8.350000 8.375000 8.390000 8.590000 8.595000
## [1149] 8.640000 8.435000 8.390000 8.370000 8.530000 8.660000 8.580000
## [1156] 8.305000 8.355000 8.305000 8.440000 8.390000 8.530000 8.420000
## [1163] 8.370000 8.340000 8.590000 8.600000 8.510000 8.230000 8.255000
## [1170] 8.160000 8.510000 8.450000 8.485000 8.605000 8.725000 8.770000
## [1177] 8.615000 8.790000 8.910000 8.660000 8.635000 8.675000 8.770000
## [1184] 8.645000 8.770000 8.755000 8.680000 8.800000 8.715000 8.730000
## [1191] 8.675000 8.840000 8.705000 8.680000 8.780000 8.710000 8.715000
## [1198] 8.555000 8.625000 8.765000 8.340000 8.300000 8.340000 8.780000
## [1205] 8.840000 8.790000 8.460000 8.420000 8.400000 8.460000 8.425000
## [1212] 8.545000 8.725000 8.675000 8.840000 8.270000 8.215000 8.285000
## [1219] 8.820000 8.780000 8.765000 8.500000 8.535000 8.590000 8.825000
## [1226] 8.900000 8.830000 8.455000 8.400000 8.455000 8.762000 8.775000
## [1233] 8.755000 8.695000 8.730000 8.505000 8.720000 8.710000 8.760000
## [1240] 8.550000 8.530000 8.530000 8.720000 8.785000 8.720000 8.510000
## [1247] 8.490000 8.475000 8.765000 8.720000 8.890000 8.665000 8.545000
## [1254] 8.665000 8.945000 8.855000 8.875000 8.465000 8.460000 8.520000
## [1261] 8.815000 8.935000 8.815000 8.270000 8.410000 8.235000 8.900000
## [1268] 8.770000 8.840000 8.365000 8.360000 8.590000 8.850000 8.765000
## [1275] 8.825000 8.470000 8.505000 8.530000 8.700000 8.760000 8.740000
## [1282] 8.440000 8.270000 8.450000 8.800000 8.925000 8.785000 8.380000
## [1289] 8.450000 8.640000 8.460000 8.525000 8.530000 8.820000 8.790000
## [1296] 8.825000 8.805000 8.815000 8.830000 8.785000 8.720000 8.690000
## [1303] 8.770000 8.625000 8.765000 8.735000 8.735000 8.685000 8.735000
## [1310] 8.755000 8.820000 8.560000 8.510000 8.450000 8.475000 8.435000
## [1317] 8.470000 8.740000 8.785000 8.680000 8.648000 8.730000 8.675000
## [1324] 8.730000 8.845000 8.840000 8.650000 8.685000 8.640000 8.465000
## [1331] 8.365000 8.440000 8.425000 8.395000 8.445000 8.925000 8.900000
## [1338] 8.905000 8.780000 8.840000 8.830000 8.710000 8.870000 8.740000
## [1345] 8.805000 8.735000 8.730000 8.610000 8.720000 8.735000 8.675000
## [1352] 8.680000 8.685000 8.650000 8.280000 8.580000 8.710000 8.640000
## [1359] 8.670000 8.510000 8.615000 8.350000 8.600000 8.675000 8.550000
## [1366] 8.740000 8.615000 8.510000 8.610000 8.610000 8.655000 8.505000
## [1373] 8.560000 8.435000 8.590000 8.580000 8.560000 8.700000 8.660000
## [1380] 8.705000 8.690000 8.675000 8.700000 8.545000 8.510000 8.495000
## [1387] 8.570000 8.540000 8.590000 8.660000 8.640000 8.630000 8.750000
## [1394] 8.630000 8.585000 8.635000 8.560000 8.540000 8.510000 8.585000
## [1401] 8.555000 8.705000 8.695000 8.630000 8.780000 8.615000 8.630000
## [1408] 8.770000 8.870000 8.925000 8.750000 8.800000 8.735000 8.550000
## [1415] 8.575000 8.495000 8.410000 8.380000 8.340000 8.410000 8.365000
## [1422] 8.410000 8.360000 8.260000 8.285000 8.470000 8.485000 8.490000
## [1429] 8.270000 8.315000 8.270000 8.665000 8.800000 8.710000 8.600000
## [1436] 8.605000 8.660000 8.640000 8.560000 8.670000 8.530000 8.575000
## [1443] 8.550000 8.815000 8.840000 8.750000 8.755000 8.810000 8.715000
## [1450] 8.670000 8.595000 8.650000 8.690000 8.790000 8.790000 8.660000
## [1457] 8.590000 8.590000 8.445000 8.275000 8.325000 8.390000 8.400000
## [1464] 8.540000 8.375000 8.400000 8.375000 8.360000 8.250000 8.220000
## [1471] 8.580000 8.510000 8.595000 8.625000 8.640000 8.470000 8.560000
## [1478] 8.610000 8.640000 8.565000 8.445000 8.620000 8.455000 8.375000
## [1485] 8.410000 8.490000 8.475000 8.480000 8.530000 8.560000 8.490000
## [1492] 8.420000 8.510000 8.415000 8.710000 8.680000 8.680000 8.370000
## [1499] 8.465000 8.425000 8.390000 8.435000 8.450000 8.610000 8.770000
## [1506] 8.630000 8.470000 8.550000 8.600000 8.500000 8.520000 8.595000
## [1513] 8.515000 8.515000 8.420000 8.415000 8.510000 8.560000 8.330000
## [1520] 8.490000 8.460000 8.470000 8.345000 8.470000 8.290000 8.395000
## [1527] 8.300000 8.600000 8.615000 8.595000 8.600000 8.525000 8.130000
## [1534] 8.820000 8.645000 8.680000 8.685000 8.490000 8.500000 8.670000
## [1541] 8.630000 8.585000 8.540000 8.590000 8.505000 8.450000 8.480000
## [1548] 8.400000 8.385000 8.200000 8.070000 8.690000 8.770000 8.630000
## [1555] 8.590000 8.665000 8.620000 8.540000 8.505000 8.590000 8.450000
## [1562] 8.425000 8.530000 8.445000 8.530000 8.685000 8.660000 8.675000
## [1569] 8.450000 8.445000 8.550000 8.540000 8.660000 8.590000 8.590000
## [1576] 8.590000 8.420000 8.495000 8.365000 8.425000 8.465000 8.180000
## [1583] 8.285000 8.295000 8.575000 8.550000 8.510000 8.280000 8.175000
## [1590] 8.105000 8.395000 8.360000 8.400000 8.560000 8.635000 8.570000
## [1597] 8.350000 8.385000 8.495000 8.475000 8.515000 8.725000 8.565000
## [1604] 8.448000 8.545000 8.440000 8.600000 8.600000 8.420000 8.405000
## [1611] 8.430000 8.540000 8.550000 8.435000 8.485000 8.490000 8.505000
## [1618] 8.435000 8.355000 8.375000 8.500000 8.405000 8.385000 8.450000
## [1625] 8.395000 8.390000 8.455000 8.295000 8.330000 8.435000 8.435000
## [1632] 8.360000 8.430000 8.395000 8.455000 8.255000 8.400000 8.245000
## [1639] 8.365000 8.290000 8.335000 8.455000 8.435000 8.430000 8.450000
## [1646] 8.395000 8.390000 8.550000 8.570000 8.675000 8.540000 8.530000
## [1653] 8.560000 8.475000 8.530000 8.635000 8.490000 8.350000 8.460000
## [1660] 8.345000 8.390000 8.425000 8.410000 8.460000 8.450000 8.445000
## [1667] 8.385000 8.550000 8.875000 8.920000 8.820000 8.515000 8.385000
## [1674] 8.560000 8.540000 8.430000 8.570000 8.570000 8.545000 8.495000
## [1681] 8.540000 8.460000 8.470000 8.620000 8.560000 8.625000 8.555000
## [1688] 8.560000 8.530000 8.465000 8.405000 8.330000 8.745000 8.585000
## [1695] 8.455000 8.590000 8.470000 8.470000 8.485000 8.435000 8.665000
## [1702] 8.520000 8.640000 8.535000 8.535000 8.640000 8.520000 8.580000
## [1709] 8.515000 8.410000 8.580000 8.415000 8.385000 8.415000 8.490000
## [1716] 8.445000 8.400000 8.400000 8.400000 8.445000 8.440000 8.470000
## [1723] 8.470000 8.530000 8.425000 8.400000 8.540000 8.425000 8.474000
## [1730] 8.510000 8.500000 8.365000 8.420000 8.335000 8.160000 8.030000
## [1737] 8.150000 7.990000 7.870000 8.065000 8.075000 8.040000 8.035000
## [1744] 8.060000 8.030000 8.070000 8.140000 8.190000 8.170000 7.705000
## [1751] 7.800000 7.960000 8.360000 8.515000 8.560000 8.430000 8.300000
## [1758] 8.410000 8.270000 8.230000 8.325000 8.280000 8.310000 8.285000
## [1765] 8.225000 8.510000 8.190000 8.275000 8.180000 8.190000 8.310000
## [1772] 8.355000 8.360000 8.255000 8.200000 8.260000 8.350000 8.290000
## [1779] 8.420000 8.310000 8.390000 8.300000 8.335000 8.330000 8.330000
## [1786] 8.175000 8.200000 8.260000 8.415000 8.415000 8.305000 8.310000
## [1793] 8.410000 8.385000 8.370000 8.400000 8.365000 8.390000 8.370000
## [1800] 8.395000 8.570000 8.470000 8.645000 8.630000 8.590000 8.610000
## [1807] 8.425000 8.550000 8.545000 8.595000 8.370000 8.430000 8.530000
## [1814] 8.495000 8.455000 8.385000 8.495000 8.520000 8.500000 8.505000
## [1821] 8.440000 8.390000 8.345000 8.305000 8.630000 8.615000 8.710000
## [1828] 8.525000 8.560000 8.385000 8.485000 8.490000 8.550000 8.485000
## [1835] 8.515000 8.485000 8.360000 8.595000 8.480000 8.710000 8.725000
## [1842] 8.675000 8.650000 8.675000 8.525000 8.605000 8.510000 8.485000
## [1849] 8.495000 8.530000 8.580000 8.475000 8.460000 8.120000 8.435000
## [1856] 8.480000 8.495000 8.485000 8.470000 8.545000 8.400000 8.430000
## [1863] 8.450000 8.370000 8.375000 8.480000 8.375000 8.490000 8.565000
## [1870] 8.030000 8.000000 8.100000 8.410000 8.520000 8.605000 8.170000
## [1877] 8.195000 8.230000 8.600000 8.590000 8.575000 8.055000 8.005000
## [1884] 8.160000 8.465000 8.365000 8.465000 8.020000 8.055000 8.050000
## [1891] 8.350000 8.430000 8.505000 8.025000 8.015000 8.160000 8.460000
## [1898] 8.515000 8.580000 8.080000 8.065000 8.050000 8.570000 8.580000
## [1905] 8.565000 8.515000 8.686000 8.824000 8.715000 8.790000 8.640000
## [1912] 8.754000 8.704000 8.723000 8.580000 8.645000 8.715000 8.825000
## [1919] 8.813000 8.774000 8.745000 8.760000 8.555000 8.692000 8.686000
## [1926] 8.652000 8.580000 8.530000 8.615000 8.661000 8.797000 8.791000
## [1933] 8.670000 8.570000 8.590000 8.920000 8.808000 8.827000 8.640000
## [1940] 8.585000 8.580000 8.776000 8.811000 8.836000 8.490000 8.660000
## [1947] 8.630000 8.724000 8.658000 8.680000 8.670000 8.765000 8.595000
## [1954] 8.687000 8.442000 8.699000 8.655000 8.660000 8.710000 8.874000
## [1961] 8.868000 8.785000 8.670000 8.625000 8.665000 8.803000 8.836000
## [1968] 8.679000 8.600000 8.650000 8.525000 8.841000 8.684000 8.711000
## [1975] 8.625000 8.670000 8.600000 8.851000 8.760000 8.748000 8.485000
## [1982] 8.455000 8.560000 8.596000 8.548000 8.463000 8.415000 8.270000
## [1989] 8.375000 8.488000 8.509000 8.554000 8.495000 8.365000 8.455000
## [1996] 8.490000 8.531000 8.385000 8.340000 8.335000 8.280000 8.326000
## [2003] 8.510000 8.468000 8.540000 8.460000 8.550000 8.575000 8.663000
## [2010] 8.660000 8.790000 8.800000 8.710000 8.756000 8.798000 8.784000
## [2017] 8.430000 8.450000 8.455000 8.541000 8.450000 8.433000 8.365000
## [2024] 8.355000 8.350000 8.432000 8.452000 8.358000 8.445000 8.415000
## [2031] 8.445000 8.479000 8.488000 8.508000 8.630000 8.610000 8.590000
## [2038] 8.604000 8.502000 8.518000 8.675000 8.500000 8.585000 8.616000
## [2045] 8.615000 8.622000 8.655000 8.625000 8.360000 8.695000 8.752000
## [2052] 8.750000 8.570000 8.500000 8.640000 8.537000 8.604000 8.632000
## [2059] 8.605000 8.590000 8.475000 8.639000 8.688000 8.673000 8.620000
## [2066] 8.530000 8.590000 8.584000 8.667000 8.729000 8.610000 8.585000
## [2073] 8.615000 8.603000 8.612000 8.676000 8.650000 8.625000 8.665000
## [2080] 8.520000 8.640000 8.640000 8.781000 8.592000 8.613000 8.745000
## [2087] 8.765000 8.760000 8.679000 8.739000 8.647000 8.550000 8.470000
## [2094] 8.650000 8.609000 8.592000 8.510000 8.520000 8.700000 8.445000
## [2101] 8.580000 8.631000 8.620000 8.555000 8.460000 8.640000 8.581000
## [2108] 8.579000 8.564000 8.600000 8.575000 8.565000 8.582000 8.769000
## [2115] 8.454000 8.510000 8.640000 8.495000 8.705000 8.566000 8.693000
## [2122] 8.640000 8.495000 8.495000 8.680000 8.631000 8.672000 8.495000
## [2129] 8.525000 8.580000 8.621000 8.656000 8.531000 8.665000 8.740000
## [2136] 8.675000 8.828000 8.829000 8.812000 8.320000 8.375000 8.295000
## [2143] 8.396000 8.406000 8.433000 8.460000 8.560000 8.450000 8.560000
## [2150] 8.640000 8.606000 8.325000 8.410000 8.310000 8.447000 8.470000
## [2157] 8.467000 8.330000 8.300000 8.355000 8.413000 7.714000 8.346000
## [2164] 8.270000 8.480000 8.065000 8.476000 8.436000 8.408000 8.335000
## [2171] 8.195000 8.215000 8.355000 8.196000 8.406000 8.465000 8.335000
## [2178] 8.525000 8.543000 8.556000 8.424000 8.790000 8.845000 8.895000
## [2185] 8.897000 8.888000 8.877000 8.785000 8.810000 8.710000 8.830000
## [2192] 8.890000 8.875000 7.925000 8.695000 8.650000 8.709000 8.693000
## [2199] 8.676000 8.585000 8.635000 8.540000 8.706000 8.707000 8.652000
## [2206] 8.585000 8.700000 8.660000 8.728000 8.705000 8.661000 8.735000
## [2213] 8.510000 8.650000 8.494000 8.676000 8.554000 8.750000 8.805000
## [2220] 8.750000 8.708000 8.570000 8.643000 8.505000 8.585000 8.550000
## [2227] 8.488000 8.560000 8.648000 8.485000 8.560000 8.420000 8.545000
## [2234] 8.545000 8.540000 8.565000 8.510000 8.530000 8.430000 8.455000
## [2241] 8.595000 8.495000 8.490000 8.510000 8.395000 8.420000 8.380000
## [2248] 8.415000 8.370000 8.405000 8.295000 8.400000 8.375000 7.730000
## [2255] 8.645000 8.035000 8.450000 8.590000 8.470000 8.520000 8.575000
## [2262] 8.395000 8.500000 8.320000 8.500000 8.455000 8.540000 8.545000
## [2269] 8.410000 8.455000 8.405000 8.405000 8.290000 8.300000 8.645000
## [2276] 8.620000 8.628000 8.560000 8.575000 8.571000 8.803000 8.781000
## [2283] 8.875000 8.856000 8.768000 8.878000 8.443000 8.578000 8.573000
## [2290] 8.729000 8.684000 8.631000 8.986000 9.088000 8.960000 8.552000
## [2297] 8.490000 8.442000 8.497000 8.535000 8.463000 8.458000 8.459000
## [2304] 8.382000 8.497000 8.505000 8.468000 8.434000 8.364000 8.322000
## [2311] 8.463000 8.393000 8.472000as.double(cube$`Density in MT/m3`)## [1] 2586.667 2447.704 2520.889 2586.667 2536.296 2471.111 2572.148
## [8] 2449.481 2496.593 2408.889 2444.444 2462.222 2408.889 2507.852
## [15] 2480.889 2413.333 2442.963 2468.148 2493.333 2468.444 2487.407
## [22] 2442.963 2474.074 2417.778 2497.481 2472.889 2457.778 2486.815
## [29] 2517.926 2485.630 2411.852 2435.556 2462.222 2601.778 2560.889
## [36] 2548.444 2414.815 2432.593 2471.111 2515.259 2537.481 2553.778
## [43] 2441.481 2462.815 2493.333 2563.852 2522.074 2517.926 2441.481
## [50] 2462.815 2493.333 2597.037 2553.778 2528.593 2432.593 2485.926
## [57] 2494.815 2555.556 2541.037 2578.074 2413.333 2442.963 2407.407
## [64] 2550.815 2552.000 2565.630 2442.963 2516.148 2442.370 2509.333
## [71] 2538.667 2578.074 2472.593 2499.259 2442.963 2558.222 2546.074
## [78] 2514.074 2521.481 2492.444 2422.222 2607.704 2597.037 2509.333
## [85] 2499.259 2488.296 2523.556 2522.074 2550.815 2566.222 2506.370
## [92] 2484.741 2510.222 2605.333 2610.074 2597.037 2539.556 2465.481
## [99] 2517.037 2610.963 2575.704 2542.519 2466.667 2523.556 2515.852
## [106] 2514.963 2537.481 2549.630 2476.741 2522.074 2495.111 2543.704
## [113] 2577.185 2599.111 2495.111 2487.111 2504.296 2613.630 2561.481
## [120] 2508.148 2552.889 2526.519 2464.296 2579.259 2576.296 2531.259
## [127] 2487.111 2519.111 2509.926 2503.407 2549.630 2581.630 2480.593
## [134] 2385.185 2434.074 2592.593 2584.593 2580.444 2427.259 2445.333
## [141] 2403.556 2610.370 2570.370 2572.741 2458.074 2489.185 2464.889
## [148] 2546.667 2579.259 2551.704 2402.667 2405.630 2431.111 2528.296
## [155] 2551.407 2577.481 2593.778 2605.926 2614.222 2504.889 2518.815
## [162] 2557.333 2595.259 2551.111 2575.704 2506.370 2576.000 2604.148
## [169] 2543.407 2574.519 2605.926 2534.519 2578.074 2475.852 2602.963
## [176] 2605.333 2500.741 2456.593 2427.259 2504.000 2572.741 2589.630
## [183] 2561.185 2445.630 2479.704 2518.815 2536.296 2509.333 2481.481
## [190] 2560.593 2444.444 2429.333 2510.637 2535.704 2516.148 2476.741
## [197] 2492.148 2521.185 2474.667 2563.852 2522.074 2551.407 2489.778
## [204] 2477.333 2534.519 2578.074 2427.259 2500.148 2503.704 2528.593
## [211] 2518.222 2563.852 2522.074 2551.111 2496.593 2555.259 2551.407
## [218] 2590.815 2547.556 2604.148 2563.852 2547.556 2560.593 2521.481
## [225] 2479.704 2549.630 2505.481 2466.667 2475.852 2488.889 2541.926
## [232] 2552.000 2590.815 2547.556 2613.333 2503.704 2490.370 2538.963
## [239] 2571.259 2601.778 2484.444 2500.741 2497.481 2517.037 2595.556
## [246] 2561.185 2565.630 2528.593 2514.963 2515.259 2536.593 2580.148
## [253] 2613.333 2503.704 2490.370 2555.852 2607.704 2525.037 2484.444
## [260] 2500.741 2497.481 2538.963 2571.259 2601.778 2484.444 2500.741
## [267] 2497.481 2517.037 2595.556 2561.185 2565.630 2528.593 2514.963
## [274] 2613.630 2549.630 2546.370 2574.519 2543.111 2514.074 2544.000
## [281] 2585.185 2595.556 2545.481 2561.185 2578.370 2459.556 2532.741
## [288] 2455.704 2467.852 2492.148 2501.333 2463.111 2491.556 2450.667
## [295] 2463.704 2486.519 2491.852 2429.000 2446.000 2444.000 2503.000
## [302] 2484.444 2486.000 2441.481 2462.815 2471.000 2485.926 2466.667
## [309] 2463.704 2497.481 2472.889 2487.407 2471.111 2502.222 2460.741
## [316] 2447.704 2474.074 2507.852 2506.667 2509.630 2527.407 2496.593
## [323] 2527.111 2474.667 2451.852 2448.889 2481.481 2539.556 2471.407
## [330] 2517.037 2489.481 2468.148 2471.111 2466.667 2523.556 2515.852
## [337] 2525.926 2509.630 2484.444 2442.963 2516.148 2442.370 2467.852
## [344] 2588.148 2555.556 2514.074 2570.074 2567.407 2497.481 2551.407
## [351] 2554.370 2533.037 2577.481 2543.111 2545.778 2565.037 2463.704
## [358] 2551.704 2546.074 2506.074 2386.667 2474.370 2497.481 2513.778
## [365] 2537.185 2551.704 2463.704 2494.815 2521.481 2544.000 2506.963
## [372] 2502.222 2462.815 2498.370 2483.259 2515.259 2536.593 2580.148
## [379] 2518.815 2486.519 2490.370 2525.926 2543.704 2536.296 2515.556
## [386] 2540.741 2524.444 2525.926 2528.889 2556.444 2524.444 2542.222
## [393] 2533.333 2545.185 2554.370 2577.778 2554.074 2534.815 2583.704
## [400] 2545.778 2561.481 2562.963 2557.037 2595.556 2551.111 2500.741
## [407] 2539.259 2521.481 2565.000 2625.185 2595.556 2517.630 2521.481
## [414] 2551.111 2545.185 2506.667 2530.370 2579.259 2556.741 2583.704
## [421] 2554.074 2562.963 2568.889 2603.852 2530.074 2561.481 2471.407
## [428] 2533.333 2509.630 2486.519 2563.259 2527.111 2385.185 2589.630
## [435] 2405.926 2497.481 2474.370 2509.630 2555.556 2490.000 2525.926
## [442] 2494.519 2465.185 2435.259 2517.037 2499.259 2487.407 2441.481
## [449] 2457.778 2450.370 2522.963 2481.481 2511.111 2481.481 2512.593
## [456] 2499.259 2530.370 2506.667 2516.444 2400.000 2545.185 2557.037
## [463] 2514.074 2524.444 2557.037 2560.000 2545.185 2554.370 2521.481
## [470] 2548.148 2557.037 2533.333 2526.519 2554.370 2589.630 2539.259
## [477] 2560.000 2528.889 2531.852 2551.111 2579.259 2562.963 2482.963
## [484] 2494.815 2536.000 2565.926 2509.630 1260.500 2568.889 2548.148
## [491] 2543.704 2608.889 2588.148 2625.185 2573.333 2568.889 2622.222
## [498] 2525.926 2557.037 2604.444 2509.630 2520.000 2533.333 2524.741
## [505] 2512.593 2524.444 2539.259 2548.444 2487.704 2491.852 2583.704
## [512] 2561.481 2601.481 2526.222 2513.481 2527.111 2463.704 2468.148
## [519] 2560.000 2533.333 2528.000 2557.630 2601.481 2577.778 2574.815
## [526] 2516.444 2587.556 2535.704 2560.000 2530.370 2491.852 2545.778
## [533] 2557.333 2575.111 2552.593 2567.407 2604.444 2485.333 2555.852
## [540] 2571.852 2565.926 2545.185 2546.667 2577.778 2584.296 2557.037
## [547] 2631.111 2576.296 2597.037 2488.889 2518.519 2592.593 2539.259
## [554] 2573.333 2583.704 2578.074 2518.519 2554.074 2554.074 2532.000
## [561] 2622.222 2601.481 2598.519 2558.519 2545.778 2557.333 2575.111
## [568] 2542.222 2561.481 2555.556 2521.481 2497.778 2506.667 2511.111
## [575] 2497.778 2517.037 2502.222 2514.074 2499.259 2514.074 2539.259
## [582] 2512.593 2552.593 2530.370 2485.926 2543.704 2539.259 2531.852
## [589] 2525.926 2560.000 2533.333 2548.148 2577.778 2542.222 2543.704
## [596] 2468.148 2484.444 2540.741 2520.000 2496.296 2487.407 2509.630
## [603] 2511.111 2506.667 2515.556 2514.074 2497.778 2494.815 2517.037
## [610] 2502.815 2624.741 2543.704 2491.852 2432.593 2408.889 2533.333
## [617] 2536.296 2528.889 2562.963 2497.778 2580.741 2557.037 2567.407
## [624] 2562.963 2471.111 2485.926 2487.407 2515.556 2499.259 2503.704
## [631] 2499.259 2527.407 2494.815 2527.407 2511.111 2525.926 2509.630
## [638] 2524.444 2530.370 2521.481 2488.889 2527.407 2570.370 2551.111
## [645] 2557.037 2610.370 2570.370 2565.926 2614.815 2585.185 2562.963
## [652] 2561.481 2594.074 2565.926 2546.667 2605.926 2580.741 2571.852
## [659] 2601.481 2600.000 2459.259 2485.926 2432.593 2425.185 2450.370
## [666] 2472.593 2515.556 2534.815 2537.778 2555.556 2560.000 2554.074
## [673] 2499.259 2548.148 2518.519 2571.852 2545.185 2512.593 2488.889
## [680] 2503.704 2561.481 2536.296 2515.556 2514.074 2485.926 2497.778
## [687] 2497.778 2459.259 2471.111 2502.222 2591.111 2520.000 2491.259
## [694] 2525.926 2524.444 2462.222 2530.370 2535.111 2533.333 2471.111
## [701] 2521.481 2533.333 2400.000 2391.111 2539.259 2503.704 2497.778
## [708] 2417.778 2499.259 2539.259 2520.000 2456.296 2447.407 2471.111
## [715] 2545.185 2475.556 2491.852 2448.889 2411.852 2474.074 2543.704
## [722] 2589.630 2514.074 2502.222 2506.667 2521.481 2539.259 2577.778
## [729] 2552.593 2542.222 2438.519 2480.000 2514.074 2518.519 2525.926
## [736] 2565.926 2564.444 2522.963 2580.741 2522.963 2549.630 2585.185
## [743] 2545.185 2595.556 2616.296 2562.963 2614.815 2562.963 2527.407
## [750] 2521.481 2518.519 2555.556 2548.148 2515.556 2503.704 2533.333
## [757] 2503.704 2491.852 2514.074 2577.778 2543.704 2545.185 2620.741
## [764] 2595.556 2637.037 2598.519 2589.630 2533.333 2562.963 2551.111
## [771] 2549.630 2580.741 2582.222 2577.778 2560.000 2600.000 2521.481
## [778] 2469.630 2506.667 2475.556 2619.259 2616.296 2601.481 2503.704
## [785] 2530.370 2500.741 2579.259 2665.185 2619.259 2543.704 2509.630
## [792] 2518.519 2546.667 2557.037 2574.815 2496.296 2444.444 2454.815
## [799] 2564.444 2568.889 2577.778 2509.630 2512.593 2512.593 2557.037
## [806] 2588.148 2560.000 2548.148 2565.926 2560.000 2552.593 2545.185
## [813] 2574.815 2588.148 2583.704 2568.889 2548.148 2530.370 2540.741
## [820] 2565.926 2543.704 2562.963 2600.000 2577.778 2573.333 2582.222
## [827] 2571.852 2613.333 2562.963 2574.815 2577.778 2591.111 2595.556
## [834] 2598.519 2607.407 2588.148 2629.630 2588.148 2601.481 2591.111
## [841] 2480.000 2432.593 2471.111 2471.111 2465.185 2459.259 2537.778
## [848] 2478.519 2488.889 2477.037 2453.333 2456.296 2456.296 2434.074
## [855] 2508.148 2465.185 2490.370 2500.741 2441.481 2435.556 2482.963
## [862] 2508.148 2494.815 2500.741 2499.259 2548.148 2490.370 2485.926
## [869] 2491.852 2478.519 2454.815 2435.556 2468.148 2485.926 2472.593
## [876] 2494.815 2456.296 2448.889 2402.963 2413.333 2595.556 2506.667
## [883] 2448.889 2488.889 2466.667 2496.296 2410.370 2388.148 2422.222
## [890] 2539.259 2525.926 2462.222 2496.296 2518.519 2537.778 2545.185
## [897] 2429.630 2536.296 2490.370 2441.481 2524.444 2527.407 2478.519
## [904] 2435.556 2494.815 2582.222 2589.630 2525.926 2589.630 2457.778
## [911] 2472.593 2490.370 2444.444 2595.556 2509.630 2503.704 2400.000
## [918] 2565.926 2474.074 2422.222 2488.889 2451.852 2583.704 2434.074
## [925] 0.000 2485.926 2488.889 2447.407 0.000 0.000 2549.630
## [932] 2509.630 2506.667 2383.704 2512.593 2518.519 2542.222 2450.370
## [939] 2542.222 2542.222 2468.148 2474.074 2429.630 2440.000 2554.074
## [946] 2469.630 2497.778 2481.481 2429.630 2471.111 2524.444 2429.630
## [953] 2502.222 2462.222 2463.704 2484.444 2459.259 2530.370 2503.704
## [960] 2485.926 2450.370 2401.481 2491.852 2499.259 2530.370 2487.407
## [967] 2480.000 2428.148 2468.148 2411.852 2474.074 2423.704 2441.481
## [974] 2521.481 2494.815 2456.296 2423.704 2394.074 2411.852 2394.074
## [981] 2435.556 2429.630 2515.556 2420.741 2497.778 2491.852 2460.741
## [988] 2456.296 2508.148 2485.926 2459.259 2515.556 2471.111 2481.481
## [995] 2545.185 2530.370 2539.259 2527.407 2500.741 2420.741 2426.667
## [1002] 2512.593 2392.593 2419.259 2465.185 2456.296 2477.037 2530.370
## [1009] 2438.519 2445.926 2508.148 2441.481 2411.852 2420.741 2438.519
## [1016] 2444.444 2456.296 2407.407 2420.741 2408.889 2450.370 2456.296
## [1023] 2456.296 2379.259 2340.741 2334.815 2545.185 2509.630 2631.111
## [1030] 2358.519 2352.593 2358.519 2568.889 2571.852 2555.556 2491.852
## [1037] 2471.111 2440.000 2549.630 2515.556 2537.778 2405.926 2432.593
## [1044] 2408.889 2474.074 2485.926 2422.222 2417.778 2426.667 2423.704
## [1051] 2497.778 2453.333 2450.370 2426.667 2440.000 2432.593 2472.593
## [1058] 2468.148 2459.259 2435.556 2447.407 2416.296 2401.481 2414.815
## [1065] 2459.259 2576.296 2588.148 2560.000 2440.000 2445.926 2472.593
## [1072] 2537.778 2543.704 2533.333 2496.296 2530.370 2512.593 2604.444
## [1079] 2545.185 2571.852 2573.333 2570.370 2557.630 2560.000 2562.963
## [1086] 2560.593 2562.963 2548.148 2528.889 2503.704 2548.148 2499.259
## [1093] 2456.296 2423.704 2469.630 2506.667 2548.148 2554.074 2491.852
## [1100] 2506.667 2480.000 2539.259 2571.852 2582.222 2521.481 2509.630
## [1107] 2509.630 2515.556 2506.667 2482.963 2488.889 2469.630 2491.852
## [1114] 2577.778 2608.889 2562.963 2588.148 2577.778 2549.630 2493.333
## [1121] 2505.185 2508.148 2521.481 2515.556 2511.111 2534.815 2546.667
## [1128] 2533.333 2583.704 2555.556 2557.037 2545.185 2551.111 2536.296
## [1135] 2518.519 2528.889 2546.667 2560.000 2565.926 2598.519 2629.630
## [1142] 2622.222 2598.519 2474.074 2481.481 2485.926 2545.185 2546.667
## [1149] 2560.000 2499.259 2485.926 2480.000 2527.407 2565.926 2542.222
## [1156] 2460.741 2475.556 2460.741 2500.741 2485.926 2527.407 2494.815
## [1163] 2480.000 2471.111 2545.185 2548.148 2521.481 2438.519 2445.926
## [1170] 2417.778 2521.481 2503.704 2514.074 2549.630 2585.185 2598.519
## [1177] 2552.593 2604.444 2640.000 2565.926 2558.519 2570.370 2598.519
## [1184] 2561.481 2598.519 2594.074 2571.852 2607.407 2582.222 2586.667
## [1191] 2570.370 2619.259 2579.259 2571.852 2601.481 2580.741 2582.222
## [1198] 2534.815 2555.556 2597.037 2471.111 2459.259 2471.111 2601.481
## [1205] 2619.259 2604.444 2506.667 2494.815 2488.889 2506.667 2496.296
## [1212] 2531.852 2585.185 2570.370 2619.259 2450.370 2434.074 2454.815
## [1219] 2613.333 2601.481 2597.037 2518.519 2528.889 2545.185 2614.815
## [1226] 2637.037 2616.296 2505.185 2488.889 2505.185 2596.148 2600.000
## [1233] 2594.074 2576.296 2586.667 2520.000 2583.704 2580.741 2595.556
## [1240] 2533.333 2527.407 2527.407 2583.704 2602.963 2583.704 2521.481
## [1247] 2515.556 2511.111 2597.037 2583.704 2634.074 2567.407 2531.852
## [1254] 2567.407 2650.370 2623.704 2629.630 2508.148 2506.667 2524.444
## [1261] 2611.852 2647.407 2611.852 2450.370 2491.852 2440.000 2637.037
## [1268] 2598.519 2619.259 2478.519 2477.037 2545.185 2622.222 2597.037
## [1275] 2614.815 2509.630 2520.000 2527.407 2577.778 2595.556 2589.630
## [1282] 2500.741 2450.370 2503.704 2607.407 2644.444 2602.963 2482.963
## [1289] 2503.704 2560.000 2506.667 2525.926 2527.407 2613.333 2604.444
## [1296] 2614.815 2608.889 2611.852 2616.296 2602.963 2583.704 2574.815
## [1303] 2598.519 2555.556 2597.037 2588.148 2588.148 2573.333 2588.148
## [1310] 2594.074 2613.333 2536.296 2521.481 2503.704 2511.111 2499.259
## [1317] 2509.630 2589.630 2602.963 2571.852 2562.370 2586.667 2570.370
## [1324] 2586.667 2620.741 2619.259 2562.963 2573.333 2560.000 2508.148
## [1331] 2478.519 2500.741 2496.296 2487.407 2502.222 2644.444 2637.037
## [1338] 2638.519 2601.481 2619.259 2616.296 2580.741 2628.148 2589.630
## [1345] 2608.889 2588.148 2586.667 2551.111 2583.704 2588.148 2570.370
## [1352] 2571.852 2573.333 2562.963 2453.333 2542.222 2580.741 2560.000
## [1359] 2568.889 2521.481 2552.593 2474.074 2548.148 2570.370 2533.333
## [1366] 2589.630 2552.593 2521.481 2551.111 2551.111 2564.444 2520.000
## [1373] 2536.296 2499.259 2545.185 2542.222 2536.296 2577.778 2565.926
## [1380] 2579.259 2574.815 2570.370 2577.778 2531.852 2521.481 2517.037
## [1387] 2539.259 2530.370 2545.185 2565.926 2560.000 2557.037 2592.593
## [1394] 2557.037 2543.704 2558.519 2536.296 2530.370 2521.481 2543.704
## [1401] 2534.815 2579.259 2576.296 2557.037 2601.481 2552.593 2557.037
## [1408] 2598.519 2628.148 2644.444 2592.593 2607.407 2588.148 2533.333
## [1415] 2540.741 2517.037 2491.852 2482.963 2471.111 2491.852 2478.519
## [1422] 2491.852 2477.037 2447.407 2454.815 2509.630 2514.074 2515.556
## [1429] 2450.370 2463.704 2450.370 2567.407 2607.407 2580.741 2548.148
## [1436] 2549.630 2565.926 2560.000 2536.296 2568.889 2527.407 2540.741
## [1443] 2533.333 2611.852 2619.259 2592.593 2594.074 2610.370 2582.222
## [1450] 2568.889 2546.667 2562.963 2574.815 2604.444 2604.444 2565.926
## [1457] 2545.185 2545.185 2502.222 2451.852 2466.667 2485.926 2488.889
## [1464] 2530.370 2481.481 2488.889 2481.481 2477.037 2444.444 2435.556
## [1471] 2542.222 2521.481 2546.667 2555.556 2560.000 2509.630 2536.296
## [1478] 2551.111 2560.000 2537.778 2502.222 2554.074 2505.185 2481.481
## [1485] 2491.852 2515.556 2511.111 2512.593 2527.407 2536.296 2515.556
## [1492] 2494.815 2521.481 2493.333 2580.741 2571.852 2571.852 2480.000
## [1499] 2508.148 2496.296 2485.926 2499.259 2503.704 2551.111 2598.519
## [1506] 2557.037 2509.630 2533.333 2548.148 2518.519 2524.444 2546.667
## [1513] 2522.963 2522.963 2494.815 2493.333 2521.481 2536.296 2468.148
## [1520] 2515.556 2506.667 2509.630 2472.593 2509.630 2456.296 2487.407
## [1527] 2459.259 2548.148 2552.593 2546.667 2548.148 2525.926 2408.889
## [1534] 2613.333 2561.481 2571.852 2573.333 2515.556 2518.519 2568.889
## [1541] 2557.037 2543.704 2530.370 2545.185 2520.000 2503.704 2512.593
## [1548] 2488.889 2484.444 2429.630 2391.111 2574.815 2598.519 2557.037
## [1555] 2545.185 2567.407 2554.074 2530.370 2520.000 2545.185 2503.704
## [1562] 2496.296 2527.407 2502.222 2527.407 2573.333 2565.926 2570.370
## [1569] 2503.704 2502.222 2533.333 2530.370 2565.926 2545.185 2545.185
## [1576] 2545.185 2494.815 2517.037 2478.519 2496.296 2508.148 2423.704
## [1583] 2454.815 2457.778 2540.741 2533.333 2521.481 2453.333 2422.222
## [1590] 2401.481 2487.407 2477.037 2488.889 2536.296 2558.519 2539.259
## [1597] 2474.074 2484.444 2517.037 2511.111 2522.963 2585.185 2537.778
## [1604] 2503.111 2531.852 2500.741 2548.148 2548.148 2494.815 2490.370
## [1611] 2497.778 2530.370 2533.333 2499.259 2514.074 2515.556 2520.000
## [1618] 2499.259 2475.556 2481.481 2518.519 2490.370 2484.444 2503.704
## [1625] 2487.407 2485.926 2505.185 2457.778 2468.148 2499.259 2499.259
## [1632] 2477.037 2497.778 2487.407 2505.185 2445.926 2488.889 2442.963
## [1639] 2478.519 2456.296 2469.630 2505.185 2499.259 2497.778 2503.704
## [1646] 2487.407 2485.926 2533.333 2539.259 2570.370 2530.370 2527.407
## [1653] 2536.296 2511.111 2527.407 2558.519 2515.556 2474.074 2506.667
## [1660] 2472.593 2485.926 2496.296 2491.852 2506.667 2503.704 2502.222
## [1667] 2484.444 2533.333 2629.630 2642.963 2613.333 2522.963 2484.444
## [1674] 2536.296 2530.370 2497.778 2539.259 2539.259 2531.852 2517.037
## [1681] 2530.370 2506.667 2509.630 2554.074 2536.296 2555.556 2534.815
## [1688] 2536.296 2527.407 2508.148 2490.370 2468.148 2591.111 2543.704
## [1695] 2505.185 2545.185 2509.630 2509.630 2514.074 2499.259 2567.407
## [1702] 2524.444 2560.000 2528.889 2528.889 2560.000 2524.444 2542.222
## [1709] 2522.963 2491.852 2542.222 2493.333 2484.444 2493.333 2515.556
## [1716] 2502.222 2488.889 2488.889 2488.889 2502.222 2500.741 2509.630
## [1723] 2509.630 2527.407 2496.296 2488.889 2530.370 2496.296 2510.815
## [1730] 2521.481 2518.519 2478.519 2494.815 2469.630 2417.778 2379.259
## [1737] 2414.815 2367.407 2331.852 2389.630 2392.593 2382.222 2380.741
## [1744] 2388.148 2379.259 2391.111 2411.852 2426.667 2420.741 2282.963
## [1751] 2311.111 2358.519 2477.037 2522.963 2536.296 2497.778 2459.259
## [1758] 2491.852 2450.370 2438.519 2466.667 2453.333 2462.222 2454.815
## [1765] 2437.037 2521.481 2426.667 2451.852 2423.704 2426.667 2462.222
## [1772] 2475.556 2477.037 2445.926 2429.630 2447.407 2474.074 2456.296
## [1779] 2494.815 2462.222 2485.926 2459.259 2469.630 2468.148 2468.148
## [1786] 2422.222 2429.630 2447.407 2493.333 2493.333 2460.741 2462.222
## [1793] 2491.852 2484.444 2480.000 2488.889 2478.519 2485.926 2480.000
## [1800] 2487.407 2539.259 2509.630 2561.481 2557.037 2545.185 2551.111
## [1807] 2496.296 2533.333 2531.852 2546.667 2480.000 2497.778 2527.407
## [1814] 2517.037 2505.185 2484.444 2517.037 2524.444 2518.519 2520.000
## [1821] 2500.741 2485.926 2472.593 2460.741 2557.037 2552.593 2580.741
## [1828] 2525.926 2536.296 2484.444 2514.074 2515.556 2533.333 2514.074
## [1835] 2522.963 2514.074 2477.037 2546.667 2512.593 2580.741 2585.185
## [1842] 2570.370 2562.963 2570.370 2525.926 2549.630 2521.481 2514.074
## [1849] 2517.037 2527.407 2542.222 2511.111 2506.667 2405.926 2499.259
## [1856] 2512.593 2517.037 2514.074 2509.630 2531.852 2488.889 2497.778
## [1863] 2503.704 2480.000 2481.481 2512.593 2481.481 2515.556 2537.778
## [1870] 2379.259 2370.370 2400.000 2491.852 2524.444 2549.630 2420.741
## [1877] 2428.148 2438.519 2548.148 2545.185 2540.741 2386.667 2371.852
## [1884] 2417.778 2508.148 2478.519 2508.148 2376.296 2386.667 2385.185
## [1891] 2474.074 2497.778 2520.000 2377.778 2374.815 2417.778 2506.667
## [1898] 2522.963 2542.222 2394.074 2389.630 2385.185 2539.259 2542.222
## [1905] 2537.778 2522.963 2573.630 2614.519 2582.222 2604.444 2560.000
## [1912] 2593.778 2578.963 2584.593 2542.222 2561.481 2582.222 2614.815
## [1919] 2611.259 2599.704 2591.111 2595.556 2534.815 2575.407 2573.630
## [1926] 2563.556 2542.222 2527.407 2552.593 2566.222 2606.519 2604.741
## [1933] 2568.889 2539.259 2545.185 2642.963 2609.778 2615.407 2560.000
## [1940] 2543.704 2542.222 2600.296 2610.667 2618.074 2515.556 2565.926
## [1947] 2557.037 2584.889 2565.333 2571.852 2568.889 2597.037 2546.667
## [1954] 2573.926 2501.333 2577.481 2564.444 2565.926 2580.741 2629.333
## [1961] 2627.556 2602.963 2568.889 2555.556 2567.407 2608.296 2618.074
## [1968] 2571.556 2548.148 2562.963 2525.926 2619.556 2573.037 2581.037
## [1975] 2555.556 2568.889 2548.148 2622.519 2595.556 2592.000 2514.074
## [1982] 2505.185 2536.296 2546.963 2532.741 2507.556 2493.333 2450.370
## [1989] 2481.481 2514.963 2521.185 2534.519 2517.037 2478.519 2505.185
## [1996] 2515.556 2527.704 2484.444 2471.111 2469.630 2453.333 2466.963
## [2003] 2521.481 2509.037 2530.370 2506.667 2533.333 2540.741 2566.815
## [2010] 2565.926 2604.444 2607.407 2580.741 2594.370 2606.815 2602.667
## [2017] 2497.778 2503.704 2505.185 2530.667 2503.704 2498.667 2478.519
## [2024] 2475.556 2474.074 2498.370 2504.296 2476.444 2502.222 2493.333
## [2031] 2502.222 2512.296 2514.963 2520.889 2557.037 2551.111 2545.185
## [2038] 2549.333 2519.111 2523.852 2570.370 2518.519 2543.704 2552.889
## [2045] 2552.593 2554.667 2564.444 2555.556 2477.037 2576.296 2593.185
## [2052] 2592.593 2539.259 2518.519 2560.000 2529.481 2549.333 2557.630
## [2059] 2549.630 2545.185 2511.111 2559.704 2574.222 2569.778 2554.074
## [2066] 2527.407 2545.185 2543.407 2568.000 2586.370 2551.111 2543.704
## [2073] 2552.593 2549.037 2551.704 2570.667 2562.963 2555.556 2567.407
## [2080] 2524.444 2560.000 2560.000 2601.778 2545.778 2552.000 2591.111
## [2087] 2597.037 2595.556 2571.556 2589.333 2562.074 2533.333 2509.630
## [2094] 2562.963 2550.815 2545.778 2521.481 2524.444 2577.778 2502.222
## [2101] 2542.222 2557.333 2554.074 2534.815 2506.667 2560.000 2542.519
## [2108] 2541.926 2537.481 2548.148 2540.741 2537.778 2542.815 2598.222
## [2115] 2504.889 2521.481 2560.000 2517.037 2579.259 2538.074 2575.704
## [2122] 2560.000 2517.037 2517.037 2571.852 2557.333 2569.481 2517.037
## [2129] 2525.926 2542.222 2554.370 2564.741 2527.704 2567.407 2589.630
## [2136] 2570.370 2615.704 2616.000 2610.963 2465.185 2481.481 2457.778
## [2143] 2487.704 2490.667 2498.667 2506.667 2536.296 2503.704 2536.296
## [2150] 2560.000 2549.926 2466.667 2491.852 2462.222 2502.815 2509.630
## [2157] 2508.741 2468.148 2459.259 2475.556 2492.741 2285.630 2472.889
## [2164] 2450.370 2512.593 2389.630 2511.407 2499.556 2491.259 2469.630
## [2171] 2428.148 2434.074 2475.556 2428.444 2490.667 2508.148 2469.630
## [2178] 2525.926 2531.259 2535.111 2496.000 2604.444 2620.741 2635.556
## [2185] 2636.148 2633.481 2630.222 2602.963 2610.370 2580.741 2616.296
## [2192] 2634.074 2629.630 2348.148 2576.296 2562.963 2580.444 2575.704
## [2199] 2570.667 2543.704 2558.519 2530.370 2579.556 2579.852 2563.556
## [2206] 2543.704 2577.778 2565.926 2586.074 2579.259 2566.222 2588.148
## [2213] 2521.481 2562.963 2516.741 2570.667 2534.519 2592.593 2608.889
## [2220] 2592.593 2580.148 2539.259 2560.889 2520.000 2543.704 2533.333
## [2227] 2514.963 2536.296 2562.370 2514.074 2536.296 2494.815 2531.852
## [2234] 2531.852 2530.370 2537.778 2521.481 2527.407 2497.778 2505.185
## [2241] 2546.667 2517.037 2515.556 2521.481 2487.407 2494.815 2482.963
## [2248] 2493.333 2480.000 2490.370 2457.778 2488.889 2481.481 2290.370
## [2255] 2561.481 2380.741 2503.704 2545.185 2509.630 2524.444 2540.741
## [2262] 2487.407 2518.519 2465.185 2518.519 2505.185 2530.370 2531.852
## [2269] 2491.852 2505.185 2490.370 2490.370 2456.296 2459.259 2561.481
## [2276] 2554.074 2556.444 2536.296 2540.741 2539.556 2608.296 2601.778
## [2283] 2629.630 2624.000 2597.926 2630.519 2501.630 2541.630 2540.148
## [2290] 2586.370 2573.037 2557.333 2662.519 2692.741 2654.815 2533.926
## [2297] 2515.556 2501.333 2517.630 2528.889 2507.556 2506.074 2506.370
## [2304] 2483.556 2517.630 2520.000 2509.037 2498.963 2478.222 2465.778
## [2311] 2507.556 2486.815 2510.222as.double(cube$`Load in KN`)## [1] 243.5000 245.9000 256.7000 350.6000 383.8000 394.9000
## [7] 220.0000 240.0000 259.1000 373.0000 382.0000 377.0000
## [13] 225.6000 210.2000 242.8000 400.3000 390.2000 366.9000
## [19] 198.6000 207.2000 256.2000 415.5000 369.8000 395.2000
## [25] 230.5000 219.8000 226.3000 425.0000 417.0000 431.0000
## [31] 210.2000 225.8000 245.5000 456.8000 462.9000 473.5000
## [37] 235.8000 242.4000 285.4000 460.3000 469.4000 478.1000
## [43] 200.8000 245.2000 230.9000 480.9000 476.2000 473.9000
## [49] 245.8000 230.2000 225.3000 429.3000 435.6000 432.3000
## [55] 245.8000 210.9000 250.4000 448.6000 456.8000 440.9000
## [61] 250.8000 245.9000 280.9000 450.0000 464.5000 460.1000
## [67] 285.4000 252.8000 245.6000 350.6000 383.8000 394.9000
## [73] 269.8000 268.4000 230.8000 400.3000 390.2000 366.9000
## [79] 285.4000 268.4000 277.2000 439.8000 466.5000 471.1000
## [85] 250.4000 245.8000 210.9000 445.3000 478.1000 469.2000
## [91] 249.2000 221.7000 237.4000 448.6000 459.8000 452.3000
## [97] 261.0000 253.7000 224.2000 466.9000 476.5000 462.3000
## [103] 211.5000 235.7000 250.1000 481.2000 469.2000 474.1000
## [109] 285.2000 268.6000 244.7000 459.1000 463.9000 461.2000
## [115] 277.3000 268.4000 250.8000 481.5000 470.2000 465.2000
## [121] 269.8000 235.4000 251.6000 469.3000 480.1000 473.9000
## [127] 270.4000 253.3000 263.7000 430.5000 451.2000 425.2000
## [133] 229.5000 235.1000 246.8000 485.3000 464.6000 471.1000
## [139] 249.9000 220.1000 256.4000 415.1000 436.2000 465.1000
## [145] 235.5000 225.6000 242.9000 481.6000 463.5000 450.4000
## [151] 251.2000 256.6000 249.8000 479.2000 489.9000 468.3000
## [157] 1030.6000 1091.8000 1242.3000 802.3000 812.5000 790.6000
## [163] 1309.5000 1050.6000 1105.6000 805.0000 810.0000 780.0000
## [169] 1203.5000 1108.6000 1095.9000 221.5000 230.9000 243.9000
## [175] 410.4000 465.3000 428.9000 235.9000 244.8000 226.9000
## [181] 445.5000 467.7000 480.4000 241.8000 230.6000 210.2000
## [187] 520.1000 460.3000 487.2000 259.3000 260.2000 251.3000
## [193] 473.9000 476.2000 480.9000 238.9000 246.5000 243.4000
## [199] 510.0000 397.2000 460.1000 253.4000 259.4000 251.2000
## [205] 456.8000 462.9000 473.5000 240.6000 240.9000 252.3000
## [211] 473.9000 480.7000 421.3000 249.5000 261.4000 258.9000
## [217] 503.1000 430.5000 400.3000 243.5000 245.9000 256.7000
## [223] 440.2000 392.1000 401.9000 225.6000 210.2000 242.8000
## [229] 501.2000 432.1000 471.9000 230.5000 219.8000 226.3000
## [235] 480.3000 520.7000 388.5000 248.6000 261.2000 264.3000
## [241] 440.1000 399.9000 425.8000 255.3000 270.1000 278.4000
## [247] 456.3000 448.2000 422.8000 273.6000 281.4000 270.9000
## [253] 480.3000 520.7000 388.5000 264.8000 279.1000 283.4000
## [259] 440.1000 399.9000 425.8000 275.4000 260.8000 271.3000
## [265] 440.1000 399.9000 425.8000 255.3000 270.1000 278.4000
## [271] 456.3000 448.2000 422.8000 270.1000 285.3000 291.2000
## [277] 399.8000 459.6000 461.2000 269.2000 263.1000 288.1000
## [283] 548.2000 483.3000 490.2000 279.0000 301.0000 243.0000
## [289] 429.3000 471.5000 465.9000 260.0000 309.0000 281.0000
## [295] 510.1000 471.5000 489.3000 251.9000 260.2000 241.8000
## [301] 498.5000 482.1000 473.4000 200.8000 245.2000 285.4000
## [307] 479.1000 485.7000 469.8000 230.5000 219.8000 226.3000
## [313] 498.5000 482.1000 473.4000 245.9000 369.8000 210.2000
## [319] 517.2000 512.1000 499.3000 225.1000 251.2000 305.0000
## [325] 415.2000 452.1000 429.7000 261.0000 235.7000 245.8000
## [331] 480.0000 395.6000 435.3000 277.3000 268.4000 250.8000
## [337] 448.8000 517.1000 435.2000 280.4000 210.9000 245.5000
## [343] 461.9000 532.1000 473.2000 320.8000 307.2000 215.4000
## [349] 532.2000 543.7000 418.2000 251.7000 269.4000 331.2000
## [355] 463.0000 527.0000 447.0000 257.2000 227.1000 240.5000
## [361] 496.4000 514.2300 435.7000 271.5000 269.4000 229.3000
## [367] 482.9000 473.1000 521.1000 268.5000 290.1000 280.5000
## [373] 442.9000 450.3000 482.2000 273.6000 319.2000 226.5000
## [379] 504.3000 426.6000 439.5000 764.0000 777.0000 736.2000
## [385] 1263.4000 1307.9000 1414.0000 901.4000 826.5000 800.2000
## [391] 1239.0000 1373.3000 1534.1000 1033.0000 712.3000 860.9000
## [397] 1547.9000 1276.1000 1210.1000 765.3000 730.2000 685.5000
## [403] 1452.8000 1408.6000 1325.6000 665.7000 770.7000 582.5000
## [409] 1287.8000 1046.0000 1321.7000 786.2000 690.5000 778.2000
## [415] 1159.7000 1305.2000 1323.3000 465.7000 495.2000 568.9000
## [421] 1262.0000 1311.4000 1296.0000 310.1000 302.1000 288.5000
## [427] 483.2000 471.9000 510.3000 221.1000 352.3000 321.4000
## [433] 501.7000 492.3000 432.8000 279.2000 283.9000 285.3000
## [439] 442.4000 460.2000 401.3000 229.4000 243.1000 267.3000
## [445] 458.3000 450.2000 455.3000 286.6000 255.3000 276.3000
## [451] 583.9000 513.3000 541.2000 308.2000 264.8000 285.3000
## [457] 583.9000 513.3000 580.2000 933.2000 806.1000 820.1000
## [463] 1283.9000 1390.7000 1512.0000 870.5000 964.3000 939.1000
## [469] 1232.7000 971.9000 989.9000 1009.1000 937.5000 949.2000
## [475] 1516.8000 1311.5000 1245.5000 991.2000 983.0000 988.2000
## [481] 1458.8000 1274.9000 1325.5000 987.7000 910.2000 1082.8000
## [487] 1233.5000 1760.8000 1695.8000 1195.6000 1082.4000 1117.7000
## [493] 1598.8000 1441.3000 1513.0000 985.7000 1181.1000 909.9000
## [499] 1210.9000 1527.3000 1304.7000 935.9000 909.9000 945.3000
## [505] 1180.3000 1409.7000 1260.3000 778.2000 994.0000 1045.7000
## [511] 1451.9000 1372.6000 1420.6000 973.4000 961.0000 915.6000
## [517] 1271.0000 1371.6000 1350.4000 1051.0000 1142.0000 984.4000
## [523] 1776.9000 1319.6000 1539.3000 1366.6000 1213.5000 1113.0000
## [529] 1576.0000 1645.0000 1284.4000 1003.2000 1309.8000 1113.0000
## [535] 1472.3000 1655.5000 1415.1000 1109.7000 1010.6000 921.7000
## [541] 1080.9000 1288.4000 1009.5000 1143.8000 1036.8000 954.7000
## [547] 1347.7000 1346.7000 1231.3000 1171.6000 942.4000 909.0000
## [553] 964.6000 1216.0000 1353.5000 1086.6000 1109.2000 1015.8000
## [559] 1120.9000 1082.2000 1268.3000 1094.0000 947.2000 1206.0000
## [565] 1003.2000 1309.8000 1113.0000 1393.3000 1126.9000 1512.0000
## [571] 1153.6000 1203.5000 1283.5000 1162.7000 1361.9000 1561.1000
## [577] 1198.1000 872.0000 989.4000 1407.7000 1315.7000 1156.1000
## [583] 1009.1000 1239.7000 883.2000 1269.0000 1353.9000 1557.5000
## [589] 1283.4000 770.5000 1187.1000 1400.2000 1215.7000 1328.2000
## [595] 1126.9000 1137.9000 980.0000 1456.1000 1367.9000 1304.7000
## [601] 998.2000 1376.6000 1493.1000 1602.6000 1429.7000 1445.3000
## [607] 548.8000 960.7000 968.9000 1302.0000 1258.2000 1564.9000
## [613] 1312.3000 1263.9000 1512.2000 1651.6000 1715.7000 1572.9000
## [619] 1111.2000 942.4000 1152.2000 1130.9000 1454.9000 1414.1000
## [625] 1189.0000 1371.1000 1191.2000 1511.6000 1543.6000 1543.1000
## [631] 1188.7000 1012.0000 882.7000 1179.8000 884.5000 1344.6000
## [637] 1078.9000 911.2000 885.9000 1379.5000 1225.2000 1336.4000
## [643] 890.1000 950.2000 1004.7000 1080.3000 1112.6000 1181.4000
## [649] 1045.3000 870.1000 895.9000 824.9000 1153.2000 964.3000
## [655] 850.1000 970.3000 910.1000 1086.3000 1030.9000 1059.3000
## [661] 1006.3000 1070.1000 980.7000 756.0000 802.1000 719.9000
## [667] 930.2000 940.9000 960.1000 1007.4000 999.6000 1002.3000
## [673] 1237.2000 976.9000 1017.0000 1382.0000 1190.8000 1191.0000
## [679] 609.5000 543.0000 799.2000 1113.1000 733.7000 1183.0000
## [685] 870.4000 850.2000 730.9000 1088.2000 988.6000 1063.9000
## [691] 647.5000 630.0000 660.1000 857.9000 943.4000 846.4000
## [697] 600.8000 555.3000 481.5000 943.2000 916.1000 947.8000
## [703] 479.5000 475.8000 659.4000 1273.9000 1075.0000 672.3000
## [709] 708.5000 491.6000 518.7000 858.1000 860.6000 945.5000
## [715] 598.4000 645.8000 608.3000 1013.1000 837.7000 681.2000
## [721] 785.6000 749.3000 583.0000 829.7000 629.0000 1113.0000
## [727] 925.9000 688.1000 566.9000 907.1000 744.1000 988.4000
## [733] 1118.3000 743.2000 777.9000 1226.4000 1000.3000 1485.1000
## [739] 950.1000 962.6000 968.7000 1207.2000 1317.0000 1282.0000
## [745] 1315.8000 1248.8000 774.1000 1117.6000 981.5000 1343.3000
## [751] 997.2000 1225.9000 1180.4000 1272.4000 1211.1000 1135.4000
## [757] 1070.4000 1062.9000 956.3000 1362.5000 1112.8000 1033.8000
## [763] 1345.0000 1481.3000 1234.2000 1095.1000 1751.4000 1112.6000
## [769] 1496.4000 1465.4000 1368.0000 1407.3000 1835.2000 1670.8000
## [775] 1083.7000 1267.0000 890.8000 1512.0000 1191.5000 1149.4000
## [781] 1196.6000 871.1000 705.9000 1259.5000 1375.4000 1450.6000
## [787] 1310.6000 822.9000 879.9000 1203.3000 1298.8000 1352.6000
## [793] 1042.7000 1160.6000 1016.4000 1132.8000 1393.7000 1583.7000
## [799] 1129.5000 1287.5000 957.3000 1451.6000 1371.6000 1116.2000
## [805] 1182.0000 947.8000 875.5000 1174.1000 1394.3000 1284.2000
## [811] 988.3000 941.7000 899.9000 1067.1000 1264.9000 1456.1000
## [817] 859.8000 1070.9000 1074.0000 1480.5000 878.6000 1175.3000
## [823] 925.8000 942.5000 833.6000 915.8000 1135.8000 1185.6000
## [829] 1008.5000 858.4000 983.2000 1331.4000 1513.6000 1576.1000
## [835] 1163.4000 884.1000 1156.0000 1788.4000 877.1000 1322.3000
## [841] 819.5000 778.2000 702.6000 1101.5000 1156.1000 1024.7000
## [847] 1100.4000 1009.4000 1156.6000 1572.9000 1259.5000 1357.1000
## [853] 800.7000 865.8000 770.9000 1230.4000 976.5000 857.4000
## [859] 1156.4000 1273.6000 1412.0000 898.3000 812.6000 752.8000
## [865] 898.3000 812.6000 752.8000 1468.7000 993.2000 1276.6000
## [871] 746.6000 599.4000 799.6000 1112.8000 1298.1000 914.6000
## [877] 933.6000 903.0000 1342.0000 673.6000 747.8000 620.6000
## [883] 1000.9000 1039.4000 957.9000 695.4000 998.1000 1179.9000
## [889] 550.9000 639.3000 419.4000 919.9000 934.5000 887.4000
## [895] 827.2000 830.2000 976.7000 669.8000 448.5000 422.2000
## [901] 668.2000 703.9000 949.5000 975.1000 912.5000 1003.4000
## [907] 769.4000 473.3000 779.6000 829.5000 731.1000 915.0000
## [913] 756.4000 1248.2000 924.5000 419.6000 406.7000 434.0000
## [919] 559.6000 610.9000 821.0000 443.8000 823.3000 558.7000
## [925] 976.9532 579.8000 500.8000 636.7000 976.9532 976.9532
## [931] 712.2000 677.3000 717.0000 836.1000 778.1000 789.0000
## [937] 764.4000 784.8000 757.6000 953.9000 707.5000 634.0000
## [943] 498.2000 363.8000 796.6000 823.9000 938.6000 927.3000
## [949] 504.7000 637.4000 479.6000 662.8000 781.6000 713.4000
## [955] 636.6000 747.2000 545.0000 774.5000 653.1000 470.3000
## [961] 312.0000 631.5000 592.7000 796.9000 976.4000 631.2000
## [967] 659.1000 630.7000 801.7000 595.0000 1112.9000 918.4000
## [973] 552.9000 710.5000 852.7000 1106.2000 635.5000 624.8000
## [979] 717.2000 458.9000 687.8000 664.0000 612.4000 628.4000
## [985] 577.5000 870.3000 752.6000 724.2000 756.8000 655.3000
## [991] 565.2000 886.6000 740.1000 637.4000 832.2000 752.6000
## [997] 704.3000 769.5000 558.6000 780.3000 858.0000 791.9000
## [1003] 741.9000 583.1000 750.7000 561.8000 457.2000 529.6000
## [1009] 872.2000 914.6000 784.4000 391.5000 528.6000 454.0000
## [1015] 1006.6000 1110.2000 927.5000 461.5000 549.3000 463.3000
## [1021] 824.8000 903.8000 953.6000 902.5000 995.8000 835.7000
## [1027] 1240.9000 1656.2000 1224.3000 943.7000 971.5000 909.8000
## [1033] 1606.5000 1609.9000 1590.6000 955.0000 1017.2000 819.3000
## [1039] 1836.5000 1202.8000 1028.0000 381.0000 475.5000 504.8000
## [1045] 849.4000 904.3000 803.9000 358.9000 391.2000 394.3000
## [1051] 821.3000 884.7000 776.6000 407.0000 458.0000 479.8000
## [1057] 821.6000 855.5000 742.1000 425.2000 393.7000 349.1000
## [1063] 753.4000 769.5000 869.0000 1120.5000 1198.8000 1413.3000
## [1069] 1437.1000 1405.1000 1418.7000 1203.5000 1092.5000 1190.6000
## [1075] 1589.3000 1342.4000 1960.0000 1314.1000 688.8000 939.7000
## [1081] 1737.4000 1040.4000 1495.4000 1163.2000 1214.3000 1249.7000
## [1087] 1756.1000 1778.7000 1781.1000 1206.8000 967.3000 1247.5000
## [1093] 1661.1000 1674.5000 1178.6000 968.2000 1094.8000 1244.5000
## [1099] 1440.8000 1540.6000 1646.5000 1084.2000 1084.4000 938.0000
## [1105] 1163.1000 1612.4000 1504.0000 919.9000 951.6000 881.3000
## [1111] 1671.3000 1222.6000 1494.4000 1105.5000 1564.4000 896.3000
## [1117] 1593.2000 1473.0000 1803.2000 1139.5000 1165.6000 844.9000
## [1123] 1590.5000 1555.5000 1612.0000 1162.2000 1270.5000 1580.6000
## [1129] 1303.5000 2056.6200 1747.3000 1076.6000 1128.5000 1202.8000
## [1135] 1737.9000 1473.3000 1354.4000 1269.0000 1321.2000 1095.6000
## [1141] 1939.1000 1700.9000 1409.4000 903.7000 943.7000 736.5000
## [1147] 1573.7000 1331.1000 1476.7000 939.7000 937.1000 847.7000
## [1153] 1550.2000 1163.9000 1456.7000 789.8000 949.5000 630.2000
## [1159] 1001.2000 1454.4000 1584.1000 1012.4000 1320.1000 1266.2000
## [1165] 1686.8000 1307.4000 1389.7000 930.0000 798.1000 1016.3000
## [1171] 935.5000 1278.1000 1336.7000 941.0000 692.4000 884.5000
## [1177] 1556.1000 1398.4000 1603.9000 999.4000 784.3000 945.2000
## [1183] 957.0000 1414.3000 1269.5000 881.2000 822.6000 1003.4000
## [1189] 1201.1000 1448.1000 1296.6000 881.2000 822.6000 1003.4000
## [1195] 1488.2000 1373.1000 1774.7000 1086.5000 1260.9000 924.9000
## [1201] 1243.6000 1514.7000 1253.6000 1230.3000 1185.0000 1312.3000
## [1207] 1537.7000 1585.8000 1601.5000 985.2000 953.3000 936.3000
## [1213] 1402.3000 1340.2000 1373.7000 982.6000 1001.7000 1009.8000
## [1219] 1307.9000 1555.9000 1390.3000 910.8000 916.0000 1026.3000
## [1225] 1421.3000 1192.2000 1388.6000 973.6000 817.3000 1042.6000
## [1231] 1717.0000 1385.5000 1482.2000 947.3000 752.1000 833.5000
## [1237] 1022.8000 1313.8000 1145.1000 827.6000 734.3000 751.1000
## [1243] 1222.8000 1282.6000 1261.5000 718.5000 966.3000 757.0000
## [1249] 1233.6000 1365.1000 1103.3000 1004.1000 1048.8000 1181.7000
## [1255] 1684.7000 1642.0000 1560.3000 1125.3000 1170.2000 1046.9000
## [1261] 1580.5000 1650.8000 1580.5000 964.6000 990.7000 873.6000
## [1267] 1367.9000 1210.1000 1495.6000 822.6000 1075.2000 1048.0000
## [1273] 1597.5000 1426.8000 1479.2000 942.6000 878.9000 890.2000
## [1279] 1359.6000 1211.8000 1516.7000 846.7000 895.4000 818.8000
## [1285] 1388.0000 1083.3000 1262.5000 999.3000 969.9000 1019.7000
## [1291] 1551.3000 1445.7000 1353.1000 964.9000 1072.5000 1171.6000
## [1297] 1369.0000 2090.4000 1475.1000 871.9000 874.5000 860.4000
## [1303] 1284.2000 1538.1000 1220.8000 1157.7000 836.1000 1078.9000
## [1309] 1672.9000 1905.6000 1672.9000 814.3000 889.1000 1063.1000
## [1315] 1414.6000 1472.1000 1250.7000 948.2000 1235.7000 1138.3000
## [1321] 1592.9000 1392.2000 1096.6000 843.1000 883.8000 805.2000
## [1327] 1212.9000 1153.9000 1376.6000 756.0000 816.8000 838.8000
## [1333] 962.4000 827.7000 1271.5000 835.8000 1022.3000 985.6000
## [1339] 1579.5000 1635.8000 1599.8000 950.8000 940.4000 1203.2000
## [1345] 1502.9000 1631.9000 933.2000 1163.7000 1285.6000 1167.2000
## [1351] 1554.0000 1418.1000 1578.6000 874.9000 846.7000 1025.9000
## [1357] 1342.8000 1253.8000 1560.0000 789.6000 615.9000 848.0000
## [1363] 1536.8000 1399.2000 1403.1000 1082.7000 875.1000 828.7000
## [1369] 1615.1000 1027.0000 1471.5000 843.5000 1070.7000 863.2000
## [1375] 1453.9000 1450.1000 1315.3000 1065.4000 968.8000 980.6000
## [1381] 1602.4000 1225.3000 1547.8000 958.5000 1013.7000 1032.4000
## [1387] 1378.7000 1290.4000 1449.4000 964.3000 919.8000 847.9000
## [1393] 1155.3000 1330.0000 1336.3000 753.0000 822.9000 862.9000
## [1399] 1467.7000 1171.9000 1259.7000 1021.9000 1128.2000 899.0000
## [1405] 1071.9000 1596.3000 1749.7000 1213.9000 1161.0000 1157.1000
## [1411] 1878.1000 1442.5000 1696.0000 872.6000 952.8000 934.2000
## [1417] 1121.2000 1148.5000 1362.9000 847.5000 969.8000 999.6000
## [1423] 1385.4000 966.8000 1152.8000 962.9000 920.9000 839.1000
## [1429] 1340.6000 873.1000 1110.3000 1076.0000 1320.1000 1308.2000
## [1435] 1062.4000 1174.0000 1098.9000 1006.7000 827.9000 1139.8000
## [1441] 1853.1000 2018.4000 1575.1000 1148.2000 1164.2000 1477.6000
## [1447] 1251.0000 1425.9000 910.7000 1432.8000 1153.9000 1157.5000
## [1453] 1024.6000 1237.8000 1200.0000 1788.5000 1507.6000 1952.8000
## [1459] 1477.2000 1384.5000 1518.4000 942.7000 973.9000 882.3000
## [1465] 1368.4000 1191.5000 1177.7000 1141.9000 1225.6000 1239.2000
## [1471] 897.5000 935.3000 910.5000 1434.5000 1396.5000 976.9532
## [1477] 1013.8000 1221.3000 1119.7000 1693.4000 1948.0000 1690.0000
## [1483] 1870.6000 1778.5000 1711.5000 924.2000 886.5000 1176.4000
## [1489] 1750.3000 1738.5000 1701.2000 831.0000 1115.1000 991.9000
## [1495] 1663.5000 1790.6000 1810.5000 923.6000 1051.4000 887.5000
## [1501] 1718.5000 1448.7000 1188.5000 1112.8000 1362.9000 1180.8000
## [1507] 1225.8000 1345.8000 1256.7000 1115.8000 1097.7000 982.2000
## [1513] 1567.5000 1439.9000 1597.1000 1048.4000 1157.9000 931.2000
## [1519] 1470.3000 1367.3000 1464.1000 1105.8000 1083.9000 1087.9000
## [1525] 1579.0000 1553.6000 1322.2000 927.0000 1084.3000 953.9000
## [1531] 1399.0000 1288.2000 1434.3000 899.2000 823.4000 959.5000
## [1537] 1228.5000 1502.1000 1433.8000 816.1000 959.9000 898.5000
## [1543] 1153.1000 1206.9000 1153.1000 921.8000 830.3000 650.9000
## [1549] 1251.7000 1339.0000 1489.7000 1260.5000 858.7000 803.3000
## [1555] 1484.0000 1154.9000 1745.2000 987.4000 836.3000 956.8000
## [1561] 1331.6000 1350.9000 1209.2000 838.5000 845.4000 630.9000
## [1567] 1136.3000 1332.2000 1309.5000 832.8000 765.2000 852.5000
## [1573] 1073.5000 1463.8000 1188.8000 1036.4000 909.1000 1063.2000
## [1579] 1554.9000 1583.7000 1583.7000 1072.4000 1138.4000 1027.7000
## [1585] 1494.2000 1224.6000 1113.8000 925.6000 1127.9000 957.4000
## [1591] 1370.0000 1665.1000 1080.0000 1133.3000 822.9000 985.3000
## [1597] 334.5000 1328.2000 1311.4000 911.6000 1153.9000 1027.6000
## [1603] 1196.1000 1386.8000 1622.5000 843.2000 945.6000 841.5000
## [1609] 1203.2000 1358.6000 1190.0000 27.5000 819.0000 552.5000
## [1615] 1190.0000 1141.7000 1349.2000 936.4000 732.7000 782.7000
## [1621] 1335.1000 1305.0000 1382.3000 842.7000 815.2000 857.9000
## [1627] 1443.1000 1203.2000 1033.4000 950.0000 672.1000 751.1000
## [1633] 976.9532 1349.0000 1320.9000 839.6000 844.9000 879.6000
## [1639] 1225.4000 1483.5000 1523.1000 764.8000 893.8000 963.2000
## [1645] 1101.8000 1384.9000 1388.5000 550.0000 535.7000 663.3000
## [1651] 1210.8000 1121.2000 1225.4000 1215.2000 1220.9000 1164.3000
## [1657] 1665.3000 1465.6000 1771.3000 1015.8000 995.3000 1184.9000
## [1663] 1771.0000 1460.6000 1596.3000 1065.9000 1159.7000 1029.3000
## [1669] 1977.2000 2204.5000 1653.1000 840.7000 778.3000 765.4000
## [1675] 1225.5000 1250.0000 1210.8000 730.7000 829.6000 805.7000
## [1681] 1120.9000 1236.5000 1098.6000 1172.9000 1204.7000 1202.1000
## [1687] 1650.5000 1625.7000 1643.6000 1025.5000 135.9000 834.9000
## [1693] 1657.6000 1685.4000 1629.7000 1087.7000 1241.1000 780.2000
## [1699] 1223.9000 1458.4000 1312.4000 1293.8000 855.6000 1337.0000
## [1705] 1595.5000 1682.3000 1692.2000 696.7000 733.6000 852.8000
## [1711] 829.2000 1020.8000 718.4000 1434.1000 1093.6000 1248.4000
## [1717] 980.8000 1101.6000 754.2000 1641.1000 1612.5000 1619.8000
## [1723] 825.7000 846.7000 819.6000 1375.6000 1191.3000 1212.3000
## [1729] 772.6000 816.5000 861.1000 1110.8000 1384.9000 1156.8000
## [1735] 871.1000 800.9000 964.8000 1755.4000 1672.7000 1955.0000
## [1741] 674.0000 699.0000 843.1000 1584.4000 1655.0000 1730.9000
## [1747] 559.2000 587.9000 847.7000 1710.4000 1580.3000 1645.9000
## [1753] 1001.2000 1137.7000 1117.4000 1580.3000 1694.3000 1708.7500
## [1759] 901.3000 976.8000 1044.3000 1348.4000 1400.9000 1410.7000
## [1765] 896.7000 936.1000 945.5000 1185.4000 1312.0000 1259.2000
## [1771] 720.0000 712.6000 838.3000 1150.3000 1326.7000 1070.5000
## [1777] 928.8000 948.0000 906.7000 1447.4000 1104.0000 1185.4000
## [1783] 958.4000 893.0000 790.9000 1281.3000 1289.3000 1435.3000
## [1789] 788.2000 817.7000 952.4000 1306.2000 1281.3000 1200.7000
## [1795] 974.5000 972.2000 989.6000 1632.3000 1605.2000 1688.3000
## [1801] 1132.1000 1099.6000 914.3000 1659.0000 1263.8000 1463.4000
## [1807] 653.7000 856.8000 683.6000 1297.6000 1081.1000 1070.3000
## [1813] 879.0000 815.7000 778.7000 1921.0000 941.7000 1515.2000
## [1819] 828.2000 839.1000 831.9000 1512.2000 1100.3000 953.4000
## [1825] 1025.5000 978.6000 974.3000 1485.0000 1262.2000 1386.8000
## [1831] 918.0000 854.9000 898.1000 1112.9000 1363.8000 1024.7000
## [1837] 1185.7000 1173.4000 918.1000 1583.7000 1525.9000 1638.7000
## [1843] 996.0000 1000.9000 1121.7000 1645.3000 1541.3000 1804.9000
## [1849] 949.6000 1023.5000 1146.1000 1700.7000 1650.2000 1555.1000
## [1855] 773.6000 771.1000 579.2000 1284.7000 1157.1000 1286.8000
## [1861] 724.1000 800.2000 703.5000 1138.8000 1197.9000 1428.5000
## [1867] 861.4000 799.9000 894.7000 1251.4000 1181.5000 1327.7000
## [1873] 1347.0000 1429.6000 1115.4000 1612.3000 1637.3000 1778.7000
## [1879] 1431.9000 1513.3000 1406.2000 1651.9000 1614.2000 1753.0000
## [1885] 745.8000 1005.2000 888.9000 1352.1000 945.7000 1130.9000
## [1891] 866.8000 997.5000 1034.7000 1128.0000 1524.4000 1201.0000
## [1897] 968.1000 1180.8000 909.7000 1206.5000 1507.8000 1406.2000
## [1903] 1024.7000 1319.1000 915.3000 1944.1000 1699.1000 1651.2000
## [1909] 1371.7000 1521.0000 1153.6000 1830.1000 1622.4000 1846.4000
## [1915] 885.8000 935.9000 790.7000 1442.8000 1244.1000 1134.1000
## [1921] 873.6000 734.0000 718.9000 1442.8000 1244.1000 1134.1000
## [1927] 662.0000 750.1000 627.8000 1256.8000 1201.8000 1334.6000
## [1933] 972.1000 1067.7000 1149.0000 1621.6000 1709.3000 1638.2000
## [1939] 1250.3000 1198.0000 928.6000 1690.5000 1698.6000 1885.0000
## [1945] 751.8000 1161.8000 881.5000 1575.6000 1635.5000 1940.5000
## [1951] 1029.0000 848.6000 1184.9000 1738.4000 1893.2000 1562.4000
## [1957] 691.0000 629.8000 728.0000 1378.4000 1127.0000 1419.9000
## [1963] 702.2000 198.6000 703.8000 1006.5000 1065.8000 1179.0000
## [1969] 740.6000 722.8000 708.2000 1156.3000 1364.4000 1272.8000
## [1975] 581.8000 592.2000 645.8000 1063.4000 1117.2000 1190.1000
## [1981] 644.6000 719.9000 485.2000 1036.8000 1075.5000 951.6000
## [1987] 455.0000 480.1000 426.1000 983.0000 740.3000 875.9000
## [1993] 475.9000 496.8000 525.1000 910.8000 900.9000 973.1000
## [1999] 529.2000 617.0000 579.4000 1110.9000 869.9000 755.8000
## [2005] 732.7000 718.1000 706.4000 1309.8000 1007.7000 1131.9000
## [2011] 648.7000 580.7000 654.1000 1121.6000 1021.9000 1218.7000
## [2017] 666.6000 557.2000 613.1000 1091.2000 1141.7000 1187.2000
## [2023] 570.6000 543.2000 547.8000 978.4000 1001.1000 1091.2000
## [2029] 515.7000 536.6000 487.7000 1141.7000 1173.4000 1133.5000
## [2035] 630.1000 622.6000 717.7000 1232.1000 1165.1000 1513.5000
## [2041] 753.9000 811.7000 818.7000 1322.0000 1331.9000 1486.2000
## [2047] 1077.9000 1334.2000 1231.7000 2222.2000 1709.7000 1683.3000
## [2053] 1107.2000 1140.5000 1273.4000 1699.0000 1602.2000 1659.3000
## [2059] 620.9000 796.2000 681.3000 1456.7000 1362.6000 1179.6000
## [2065] 828.6000 774.4000 818.3000 1362.6000 1556.8000 1441.1000
## [2071] 776.1000 699.5000 832.7000 1279.3000 1450.3000 1395.3000
## [2077] 832.0000 674.8000 631.3000 684.0000 941.0000 713.0000
## [2083] 1262.9000 1396.2000 1629.1000 1115.3000 1100.4000 1437.9000
## [2089] 1735.0000 1715.0000 1789.2000 752.1000 643.4000 827.9000
## [2095] 1395.6000 1297.2000 988.8000 756.5000 815.6000 526.8000
## [2101] 1492.8000 1119.9000 1298.4000 725.6000 699.5000 921.6000
## [2107] 1262.9000 1297.2000 1275.8000 717.3000 852.3000 984.0000
## [2113] 1229.3000 1388.2000 1216.3000 999.9000 760.1000 852.9000
## [2119] 1293.7000 1406.6000 1262.9000 858.2000 747.3000 672.5000
## [2125] 1269.3000 1331.6000 1125.5000 806.0000 907.5000 794.6000
## [2131] 1358.3000 1229.3000 1390.2000 1024.0000 838.1000 1012.4000
## [2137] 1731.3000 1353.1000 1404.6000 1046.3000 834.7000 954.0000
## [2143] 1771.0000 1650.3000 1583.5000 1095.4000 1303.7000 1128.6000
## [2149] 1738.9000 1904.2000 1698.9000 879.4000 771.7000 860.8000
## [2155] 1272.7000 1144.5000 1310.0000 894.7000 806.8000 921.6000
## [2161] 1237.6000 1287.8000 1315.8000 837.3000 1013.0000 660.4000
## [2167] 1228.5000 1277.8000 1301.3000 678.3000 813.7000 791.3000
## [2173] 1301.1000 1221.8000 1269.5000 802.3000 805.8000 676.8000
## [2179] 1400.8000 1393.6000 1275.0000 904.1000 998.5000 1149.0000
## [2185] 1641.7000 1757.5000 1389.1000 1144.8000 1037.4000 1037.1000
## [2191] 1588.4000 1476.3000 1593.5000 1084.6000 876.6000 1347.0000
## [2197] 1572.0000 1422.6000 1541.3000 1011.7000 892.0000 1035.8000
## [2203] 1627.6000 1385.2000 1498.7000 1153.4000 1119.4000 1329.7000
## [2209] 1620.8000 1641.5000 1364.8000 1059.9000 839.0000 871.9000
## [2215] 1460.5000 1511.2000 1451.6000 1009.0000 991.6000 1169.8000
## [2221] 1482.6000 1303.1000 1575.0000 891.6000 1008.6000 1086.1000
## [2227] 1612.9000 1152.7000 1349.5000 932.8000 1390.0000 1358.5000
## [2233] 1093.2000 1035.4000 1039.0000 864.7000 1364.6000 1224.5000
## [2239] 1328.3000 848.6000 1200.8000 1391.9000 917.5000 1220.8000
## [2245] 1364.9000 988.6000 954.8000 1339.6000 1453.9000 1208.6000
## [2251] 1191.4000 1465.3000 1339.5000 763.3000 567.2000 750.6000
## [2257] 862.0000 1450.8000 1654.5000 1365.5000 1555.3000 1275.2000
## [2263] 1150.2000 1186.2000 1163.7000 944.2000 828.2000 849.0000
## [2269] 1281.0000 1328.7000 948.4000 1022.2000 1018.3000 1274.9000
## [2275] 1468.9000 1376.0000 1500.1000 1207.1000 1295.5000 1156.7000
## [2281] 1036.6000 1001.1000 878.5000 760.5000 1046.1000 757.5000
## [2287] 1193.9000 1009.3000 1103.2000 802.5000 867.8000 626.0000
## [2293] 1583.0000 1838.8000 1230.6000 841.3000 845.8000 914.6000
## [2299] 939.4000 606.2000 848.4000 895.1000 892.2000 795.4000
## [2305] 1258.8000 1332.8000 1463.9000 832.2000 812.7000 695.0000
## [2311] 841.0000 886.0000 673.5000as.double(cube$`Comp. Strength in %`)## [1] 73.68889 73.68889 73.68889 111.53580 111.53580 111.53580
## [7] 71.02222 71.02222 71.02222 111.80247 111.80247 111.80247
## [13] 67.02222 67.02222 67.02222 114.31111 114.31111 114.31111
## [19] 65.38272 65.38272 65.38272 116.59259 116.59259 116.59259
## [25] 66.82469 66.82469 66.82469 125.72840 125.72840 125.72840
## [31] 67.30864 67.30864 67.30864 137.60000 137.60000 137.60000
## [37] 75.41728 75.41728 75.41728 139.04198 139.04198 139.04198
## [43] 66.85432 66.85432 66.85432 141.33333 141.33333 141.33333
## [49] 69.26420 69.26420 69.26420 128.11852 128.11852 128.11852
## [55] 69.83704 69.83704 69.83704 132.96790 132.96790 132.96790
## [61] 76.80000 76.80000 76.80000 135.76296 135.76296 135.76296
## [67] 77.41235 77.41235 77.41235 111.53580 111.53580 111.53580
## [73] 75.95062 75.95062 75.95062 114.31111 114.31111 114.31111
## [79] 82.07407 82.07407 82.07407 136.03951 136.03951 136.03951
## [85] 69.83704 69.83704 69.83704 137.54074 137.54074 137.54074
## [91] 69.95556 69.95556 69.95556 134.39012 134.39012 134.39012
## [97] 72.97778 72.97778 72.97778 138.83457 138.83457 138.83457
## [103] 68.86914 68.86914 68.86914 140.69136 140.69136 140.69136
## [109] 78.86420 78.86420 78.86420 136.71111 136.71111 136.71111
## [115] 78.66667 78.66667 78.66667 139.94074 139.94074 139.94074
## [121] 74.74568 74.74568 74.74568 140.57284 140.57284 140.57284
## [127] 77.76790 77.76790 77.76790 129.07654 129.07654 129.07654
## [133] 70.26173 70.26173 70.26173 140.34568 140.34568 140.34568
## [139] 71.74321 71.74321 71.74321 130.01481 130.01481 130.01481
## [145] 69.53086 69.53086 69.53086 137.82716 137.82716 137.82716
## [151] 74.82469 74.82469 74.82469 141.96543 141.96543 141.96543
## [157] 124.61852 124.61852 124.61852 89.08889 89.08889 89.08889
## [163] 128.35926 128.35926 128.35926 88.70370 88.70370 88.70370
## [169] 126.22222 126.22222 126.22222 68.77037 68.77037 68.77037
## [175] 128.84938 128.84938 128.84938 69.88642 69.88642 69.88642
## [181] 137.63951 137.63951 137.63951 67.41728 67.41728 67.41728
## [187] 144.94815 144.94815 144.94815 76.12840 76.12840 76.12840
## [193] 141.33333 141.33333 141.33333 71.98025 71.98025 71.98025
## [199] 135.04198 135.04198 135.04198 75.45679 75.45679 75.45679
## [205] 137.60000 137.60000 137.60000 72.47407 72.47407 72.47407
## [211] 135.89136 135.89136 135.89136 76.02963 76.02963 76.02963
## [217] 131.74321 131.74321 131.74321 73.68889 73.68889 73.68889
## [223] 121.89630 121.89630 121.89630 67.02222 67.02222 67.02222
## [229] 138.78519 138.78519 138.78519 66.82469 66.82469 66.82469
## [235] 137.23457 137.23457 137.23457 76.45432 76.45432 76.45432
## [241] 125.01728 125.01728 125.01728 79.38765 79.38765 79.38765
## [247] 131.09136 131.09136 131.09136 81.57037 81.57037 81.57037
## [253] 137.23457 137.23457 137.23457 81.70864 81.70864 81.70864
## [259] 125.01728 125.01728 125.01728 79.75309 79.75309 79.75309
## [265] 125.01728 125.01728 125.01728 79.38765 79.38765 79.38765
## [271] 131.09136 131.09136 131.09136 83.61481 83.61481 83.61481
## [277] 130.42963 130.42963 130.42963 81.02716 81.02716 81.02716
## [283] 150.29136 150.29136 150.29136 81.28395 81.28395 81.28395
## [289] 134.98272 134.98272 134.98272 83.95062 83.95062 83.95062
## [295] 145.27407 145.27407 145.27407 74.00000 74.00000 74.00000
## [301] 143.60000 143.60000 143.60000 72.22716 72.22716 72.22716
## [307] 141.68889 141.68889 141.68889 66.82469 66.82469 66.82469
## [313] 143.60494 143.60494 143.60494 81.57037 81.57037 81.57037
## [319] 150.97284 150.97284 150.97284 77.16543 77.16543 77.16543
## [325] 128.09877 128.09877 128.09877 73.33333 73.33333 73.33333
## [331] 129.47160 129.47160 129.47160 78.66667 78.66667 78.66667
## [337] 138.38025 138.38025 138.38025 72.77037 72.77037 72.77037
## [343] 144.90864 144.90864 144.90864 83.29877 83.29877 83.29877
## [349] 147.56543 147.56543 147.56543 84.17778 84.17778 84.17778
## [355] 141.92593 141.92593 141.92593 71.58519 71.58519 71.58519
## [361] 142.84741 142.84741 142.84741 76.06914 76.06914 76.06914
## [367] 145.88642 145.88642 145.88642 82.87407 82.87407 82.87407
## [373] 135.84198 135.84198 135.84198 80.91852 80.91852 80.91852
## [379] 135.34815 135.34815 135.34815 67.47259 67.47259 67.47259
## [385] 118.08296 118.08296 118.08296 74.90667 74.90667 74.90667
## [391] 122.85630 122.85630 122.85630 77.22074 77.22074 77.22074
## [397] 119.52889 119.52889 119.52889 64.62222 64.62222 64.62222
## [403] 124.05926 124.05926 124.05926 59.81926 59.81926 59.81926
## [409] 108.30741 108.30741 108.30741 66.81185 66.81185 66.81185
## [415] 112.24296 112.24296 112.24296 45.32741 45.32741 45.32741
## [421] 114.64889 114.64889 114.64889 88.95802 88.95802 88.95802
## [427] 144.73086 144.73086 144.73086 88.37531 88.37531 88.37531
## [433] 140.91852 140.91852 140.91852 83.79259 83.79259 83.79259
## [439] 128.78025 128.78025 128.78025 73.06667 73.06667 73.06667
## [445] 134.69630 134.69630 134.69630 80.80988 80.80988 80.80988
## [451] 161.81728 161.81728 161.81728 84.77037 84.77037 84.77037
## [457] 165.66914 165.66914 165.66914 75.83407 75.83407 75.83407
## [463] 124.04741 124.04741 124.04741 82.18963 82.18963 82.18963
## [469] 94.60000 94.60000 94.60000 85.80148 85.80148 85.80148
## [475] 120.70519 120.70519 120.70519 87.77481 87.77481 87.77481
## [481] 120.27259 120.27259 120.27259 88.31704 88.31704 88.31704
## [487] 138.96593 138.96593 138.96593 100.61333 100.61333 100.61333
## [493] 134.90667 134.90667 134.90667 91.16148 91.16148 91.16148
## [499] 119.78963 119.78963 119.78963 82.69926 82.69926 82.69926
## [505] 114.08296 114.08296 114.08296 83.49333 83.49333 83.49333
## [511] 125.78074 125.78074 125.78074 84.44444 84.44444 84.44444
## [517] 118.31111 118.31111 118.31111 94.14519 94.14519 94.14519
## [523] 137.35704 137.35704 137.35704 109.42519 109.42519 109.42519
## [529] 133.49333 133.49333 133.49333 101.51111 101.51111 101.51111
## [535] 134.60444 134.60444 134.60444 90.13333 90.13333 90.13333
## [541] 100.11259 100.11259 100.11259 30.96593 30.96593 30.96593
## [547] 38.77235 38.77235 38.77235 89.57037 89.57037 89.57037
## [553] 104.71407 104.71407 104.71407 95.15852 95.15852 95.15852
## [559] 102.85630 102.85630 102.85630 96.21333 96.21333 96.21333
## [565] 101.51111 101.51111 101.51111 119.47259 119.47259 119.47259
## [571] 107.86963 107.86963 107.86963 121.05778 121.05778 121.05778
## [577] 90.65185 90.65185 90.65185 114.94815 114.94815 114.94815
## [583] 92.80000 92.80000 92.80000 123.86370 123.86370 123.86370
## [589] 96.02963 96.02963 96.02963 116.86222 116.86222 116.86222
## [595] 96.14222 96.14222 96.14222 122.33185 122.33185 122.33185
## [601] 114.60444 114.60444 114.60444 132.66963 132.66963 132.66963
## [607] 73.43407 73.43407 73.43407 122.53037 122.53037 122.53037
## [613] 121.13778 121.13778 121.13778 146.37630 146.37630 146.37630
## [619] 94.98667 94.98667 94.98667 118.51556 118.51556 118.51556
## [625] 111.14963 111.14963 111.14963 136.24593 136.24593 136.24593
## [631] 91.36000 91.36000 91.36000 101.00444 101.00444 101.00444
## [637] 85.21481 85.21481 85.21481 116.77333 116.77333 116.77333
## [643] 84.29630 84.29630 84.29630 99.97926 99.97926 99.97926
## [649] 83.29778 83.29778 83.29778 87.18222 87.18222 87.18222
## [655] 80.90370 80.90370 80.90370 94.11852 94.11852 94.11852
## [661] 90.58074 90.58074 90.58074 67.49630 67.49630 67.49630
## [667] 83.88741 83.88741 83.88741 89.16444 89.16444 89.16444
## [673] 95.73630 95.73630 95.73630 111.52000 111.52000 111.52000
## [679] 57.82815 57.82815 57.82815 89.77185 89.77185 89.77185
## [685] 72.63704 72.63704 72.63704 93.05778 93.05778 93.05778
## [691] 57.41037 57.41037 57.41037 78.45037 78.45037 78.45037
## [697] 48.52148 48.52148 48.52148 83.17333 83.17333 83.17333
## [703] 47.84296 47.84296 47.84296 89.51704 89.51704 89.51704
## [709] 50.92741 50.92741 50.92741 78.93926 78.93926 78.93926
## [715] 54.88889 54.88889 54.88889 75.02222 75.02222 75.02222
## [721] 62.75259 62.75259 62.75259 76.19852 76.19852 76.19852
## [727] 64.61926 64.61926 64.61926 78.21037 78.21037 78.21037
## [733] 78.20444 78.20444 78.20444 109.97926 109.97926 109.97926
## [739] 85.37481 85.37481 85.37481 112.77630 112.77630 112.77630
## [745] 98.92444 98.92444 98.92444 101.99704 101.99704 101.99704
## [751] 100.84444 100.84444 100.84444 107.22667 107.22667 107.22667
## [757] 91.54370 91.54370 91.54370 103.97333 103.97333 103.97333
## [763] 85.93651 85.93651 85.93651 83.79048 83.79048 83.79048
## [769] 91.63598 91.63598 91.63598 103.98519 103.98519 103.98519
## [775] 96.04444 96.04444 96.04444 114.16000 114.16000 114.16000
## [781] 82.18074 82.18074 82.18074 121.05185 121.05185 121.05185
## [787] 89.28593 89.28593 89.28593 114.21333 114.21333 114.21333
## [793] 95.39852 95.39852 95.39852 121.78370 121.78370 121.78370
## [799] 99.97926 99.97926 99.97926 116.72296 116.72296 116.72296
## [805] 89.04593 89.04593 89.04593 114.15111 114.15111 114.15111
## [811] 83.84889 83.84889 83.84889 112.24000 112.24000 112.24000
## [817] 89.02815 89.02815 89.02815 104.72296 104.72296 104.72296
## [823] 80.05630 80.05630 80.05630 95.91704 95.91704 95.91704
## [829] 84.44741 84.44741 84.44741 130.99556 130.99556 130.99556
## [835] 94.91852 94.91852 94.91852 118.15704 118.15704 118.15704
## [841] 68.15704 68.15704 68.15704 97.25333 97.25333 97.25333
## [847] 96.78222 96.78222 96.78222 124.13333 124.13333 124.13333
## [853] 72.21926 72.21926 72.21926 90.79407 90.79407 90.79407
## [859] 113.83704 113.83704 113.83704 72.99852 72.99852 72.99852
## [865] 72.99852 72.99852 72.99852 110.77037 110.77037 110.77037
## [871] 63.57333 63.57333 63.57333 98.53333 98.53333 98.53333
## [877] 94.18074 94.18074 94.18074 60.50370 60.50370 60.50370
## [883] 88.83556 88.83556 88.83556 85.13778 85.13778 85.13778
## [889] 47.69185 47.69185 47.69185 81.23852 81.23852 81.23852
## [895] 78.04741 78.04741 78.04741 45.64444 45.64444 45.64444
## [901] 68.78815 68.78815 68.78815 85.65926 85.65926 85.65926
## [907] 59.92000 59.92000 59.92000 73.35111 73.35111 73.35111
## [913] 86.78815 86.78815 86.78815 37.34222 37.34222 37.34222
## [919] 59.00741 59.00741 59.00741 54.09778 54.09778 54.09778
## [925] 32.01778 32.01778 32.01778 18.86519 18.86519 18.86519
## [931] 62.41481 62.41481 62.41481 71.20593 71.20593 71.20593
## [937] 68.34963 68.34963 68.34963 68.01185 68.01185 68.01185
## [943] 49.14370 49.14370 49.14370 79.69778 79.69778 79.69778
## [949] 48.05037 48.05037 48.05037 63.93481 63.93481 63.93481
## [955] 57.14963 57.14963 57.14963 56.23407 56.23407 56.23407
## [961] 45.51704 45.51704 45.51704 71.24444 71.24444 71.24444
## [967] 61.97037 61.97037 61.97037 77.81630 77.81630 77.81630
## [973] 62.69926 62.69926 62.69926 70.11852 70.11852 70.11852
## [979] 55.22667 55.22667 55.22667 56.43852 56.43852 56.43852
## [985] 65.19704 65.19704 65.19704 63.29778 63.29778 63.29778
## [991] 64.94519 64.94519 64.94519 65.84296 65.84296 65.84296
## [997] 60.21926 60.21926 60.21926 72.00593 72.00593 72.00593
## [1003] 61.50222 61.50222 61.50222 45.88444 45.88444 45.88444
## [1009] 76.18370 76.18370 76.18370 40.71407 40.71407 40.71407
## [1015] 90.20148 90.20148 90.20148 43.67704 43.67704 43.67704
## [1021] 79.47259 79.47259 79.47259 81.00741 81.00741 81.00741
## [1027] 122.11556 122.11556 122.11556 83.70370 83.70370 83.70370
## [1033] 142.42963 142.42963 142.42963 82.71111 82.71111 82.71111
## [1039] 120.51259 120.51259 120.51259 40.33481 40.33481 40.33481
## [1045] 75.78074 75.78074 75.78074 33.90815 33.90815 33.90815
## [1051] 73.55852 73.55852 73.55852 39.84593 39.84593 39.84593
## [1057] 71.68000 71.68000 71.68000 34.60741 34.60741 34.60741
## [1063] 70.87111 70.87111 70.87111 110.59556 110.59556 110.59556
## [1069] 126.24889 126.24889 126.24889 103.30667 103.30667 103.30667
## [1075] 144.93926 144.93926 144.93926 87.18815 87.18815 87.18815
## [1081] 126.61333 126.61333 126.61333 107.47259 107.47259 107.47259
## [1087] 157.50815 157.50815 157.50815 72.41481 72.41481 72.41481
## [1093] 95.53862 95.53862 95.53862 98.00000 98.00000 98.00000
## [1099] 137.12296 137.12296 137.12296 92.04741 92.04741 92.04741
## [1105] 126.80000 126.80000 126.80000 81.56444 81.56444 81.56444
## [1111] 130.02370 130.02370 130.02370 75.47513 75.47513 75.47513
## [1117] 103.05608 103.05608 103.05608 66.66667 66.66667 66.66667
## [1123] 100.69841 100.69841 100.69841 84.93757 84.93757 84.93757
## [1129] 108.09354 108.09354 108.09354 72.12487 72.12487 72.12487
## [1135] 96.62646 96.62646 96.62646 78.00635 78.00635 78.00635
## [1141] 106.86561 106.86561 106.86561 76.56000 76.56000 76.56000
## [1147] 129.82222 129.82222 129.82222 80.72593 80.72593 80.72593
## [1153] 123.57926 123.57926 123.57926 70.20741 70.20741 70.20741
## [1159] 119.69481 119.69481 119.69481 76.16296 76.16296 76.16296
## [1165] 92.78095 92.78095 92.78095 58.08254 58.08254 58.08254
## [1171] 75.13862 75.13862 75.13862 74.60444 74.60444 74.60444
## [1177] 135.06370 135.06370 135.06370 80.85630 80.85630 80.85630
## [1183] 107.87556 107.87556 107.87556 80.21333 80.21333 80.21333
## [1189] 116.91259 116.91259 116.91259 57.29524 57.29524 57.29524
## [1195] 98.11640 98.11640 98.11640 69.25503 69.25503 69.25503
## [1201] 84.90794 84.90794 84.90794 110.44741 110.44741 110.44741
## [1207] 140.00000 140.00000 140.00000 85.17926 85.17926 85.17926
## [1213] 121.96148 121.96148 121.96148 88.71407 88.71407 88.71407
## [1219] 126.04741 126.04741 126.04741 84.53630 84.53630 84.53630
## [1225] 118.58074 118.58074 118.58074 83.95556 83.95556 83.95556
## [1231] 135.84296 135.84296 135.84296 75.04889 75.04889 75.04889
## [1237] 103.16148 103.16148 103.16148 68.53333 68.53333 68.53333
## [1243] 111.61185 111.61185 111.61185 72.34963 72.34963 72.34963
## [1249] 109.68889 109.68889 109.68889 95.84000 95.84000 95.84000
## [1255] 144.80000 144.80000 144.80000 70.73862 70.73862 70.73862
## [1261] 101.83704 101.83704 101.83704 83.81926 83.81926 83.81926
## [1267] 120.69926 120.69926 120.69926 87.28296 87.28296 87.28296
## [1273] 133.43704 133.43704 133.43704 80.34667 80.34667 80.34667
## [1279] 121.12889 121.12889 121.12889 75.87852 75.87852 75.87852
## [1285] 110.63111 110.63111 110.63111 88.56000 88.56000 88.56000
## [1291] 128.89185 128.89185 128.89185 95.08148 95.08148 95.08148
## [1297] 146.20741 146.20741 146.20741 77.23852 77.23852 77.23852
## [1303] 119.79556 119.79556 119.79556 65.03069 65.03069 65.03069
## [1309] 111.14074 111.14074 111.14074 58.55026 58.55026 58.55026
## [1315] 87.56402 87.56402 87.56402 70.31111 70.31111 70.31111
## [1321] 86.38519 86.38519 86.38519 75.02519 75.02519 75.02519
## [1327] 110.91556 110.91556 110.91556 71.45481 71.45481 71.45481
## [1333] 90.71407 90.71407 90.71407 60.18413 60.18413 60.18413
## [1339] 101.90688 101.90688 101.90688 65.48995 65.48995 65.48995
## [1345] 86.09524 86.09524 86.09524 76.53968 76.53968 76.53968
## [1351] 96.31111 96.31111 96.31111 81.40741 81.40741 81.40741
## [1357] 123.15852 123.15852 123.15852 66.77037 66.77037 66.77037
## [1363] 128.56593 128.56593 128.56593 82.56296 82.56296 82.56296
## [1369] 121.88444 121.88444 121.88444 82.29333 82.29333 82.29333
## [1375] 125.01630 125.01630 125.01630 89.32741 89.32741 89.32741
## [1381] 129.64444 129.64444 129.64444 89.02519 89.02519 89.02519
## [1387] 122.02963 122.02963 122.02963 80.94815 80.94815 80.94815
## [1393] 113.23259 113.23259 113.23259 72.26074 72.26074 72.26074
## [1399] 115.53481 115.53481 115.53481 64.53122 64.53122 64.53122
## [1405] 93.50053 93.50053 93.50053 74.75132 74.75132 74.75132
## [1411] 106.17143 106.17143 106.17143 81.76593 81.76593 81.76593
## [1417] 107.63259 107.63259 107.63259 83.46370 83.46370 83.46370
## [1423] 103.85185 103.85185 103.85185 80.67852 80.67852 80.67852
## [1429] 98.48889 98.48889 98.48889 78.39788 78.39788 78.39788
## [1435] 70.58836 70.58836 70.58836 62.95026 62.95026 62.95026
## [1441] 115.27196 115.27196 115.27196 80.21164 80.21164 80.21164
## [1447] 75.92804 75.92804 75.92804 79.24233 79.24233 79.24233
## [1453] 73.27831 73.27831 73.27831 111.08783 111.08783 111.08783
## [1459] 92.70053 92.70053 92.70053 82.93037 82.93037 82.93037
## [1465] 110.74370 110.74370 110.74370 106.86519 106.86519 106.86519
## [1471] 81.28296 81.28296 81.28296 83.88148 83.88148 83.88148
## [1477] 71.00106 71.00106 71.00106 112.83386 112.83386 112.83386
## [1483] 113.45185 113.45185 113.45185 63.21905 63.21905 63.21905
## [1489] 109.84127 109.84127 109.84127 62.17989 62.17989 62.17989
## [1495] 111.42011 111.42011 111.42011 60.58201 60.58201 60.58201
## [1501] 92.18413 92.18413 92.18413 77.38624 77.38624 77.38624
## [1507] 81.02222 81.02222 81.02222 67.63386 67.63386 67.63386
## [1513] 97.44974 97.44974 97.44974 66.40212 66.40212 66.40212
## [1519] 91.04127 91.04127 91.04127 97.11407 97.11407 97.11407
## [1525] 131.99407 131.99407 131.99407 87.85778 87.85778 87.85778
## [1531] 122.11852 122.11852 122.11852 79.46963 79.46963 79.46963
## [1537] 123.38963 123.38963 123.38963 79.24444 79.24444 79.24444
## [1543] 104.09185 104.09185 104.09185 71.20000 71.20000 71.20000
## [1549] 120.90074 120.90074 120.90074 61.85185 61.85185 61.85185
## [1555] 92.78519 92.78519 92.78519 82.38519 82.38519 82.38519
## [1561] 115.30963 115.30963 115.30963 68.58667 68.58667 68.58667
## [1567] 111.94074 111.94074 111.94074 72.60741 72.60741 72.60741
## [1573] 110.40296 110.40296 110.40296 63.67619 63.67619 63.67619
## [1579] 99.94286 99.94286 99.94286 68.53968 68.53968 68.53968
## [1585] 81.11323 81.11323 81.11323 63.72275 63.72275 63.72275
## [1591] 87.09206 87.09206 87.09206 62.25397 62.25397 62.25397
## [1597] 62.94392 62.94392 62.94392 65.46243 65.46243 65.46243
## [1603] 89.00317 89.00317 89.00317 77.93481 77.93481 77.93481
## [1609] 111.16444 111.16444 111.16444 41.45185 41.45185 41.45185
## [1615] 109.06370 109.06370 109.06370 72.64593 72.64593 72.64593
## [1621] 119.18222 119.18222 119.18222 74.54222 74.54222 74.54222
## [1627] 109.02815 109.02815 109.02815 70.31704 70.31704 70.31704
## [1633] 118.66222 118.66222 118.66222 75.97333 75.97333 75.97333
## [1639] 125.39259 125.39259 125.39259 77.68296 77.68296 77.68296
## [1645] 114.82074 114.82074 114.82074 51.82222 51.82222 51.82222
## [1651] 105.40444 105.40444 105.40444 76.19894 76.19894 76.19894
## [1657] 103.75026 103.75026 103.75026 67.64021 67.64021 67.64021
## [1663] 102.17778 102.17778 102.17778 68.88677 68.88677 68.88677
## [1669] 123.48783 123.48783 123.48783 50.46349 50.46349 50.46349
## [1675] 78.01693 78.01693 78.01693 50.07407 50.07407 50.07407
## [1681] 73.14286 73.14286 73.14286 75.76085 75.76085 75.76085
## [1687] 104.12275 104.12275 104.12275 42.24974 42.24974 42.24974
## [1693] 105.24233 105.24233 105.24233 65.79894 65.79894 65.79894
## [1699] 84.54392 84.54392 84.54392 73.78624 73.78624 73.78624
## [1705] 105.18519 105.18519 105.18519 48.31958 48.31958 48.31958
## [1711] 76.10074 76.10074 76.10074 111.88444 111.88444 111.88444
## [1717] 60.03386 60.03386 60.03386 103.14074 103.14074 103.14074
## [1723] 73.83704 73.83704 73.83704 111.97630 111.97630 111.97630
## [1729] 72.59852 72.59852 72.59852 108.22222 108.22222 108.22222
## [1735] 55.80529 55.80529 55.80529 113.92804 113.92804 113.92804
## [1741] 46.90159 46.90159 46.90159 105.19153 105.19153 105.19153
## [1747] 42.21799 42.21799 42.21799 104.47831 104.47831 104.47831
## [1753] 68.91640 68.91640 68.91640 105.46772 105.46772 105.46772
## [1759] 86.58963 86.58963 86.58963 123.25926 123.25926 123.25926
## [1765] 82.32000 82.32000 82.32000 111.30667 111.30667 111.30667
## [1771] 67.28593 67.28593 67.28593 105.11111 105.11111 105.11111
## [1777] 82.47407 82.47407 82.47407 110.72000 110.72000 110.72000
## [1783] 78.29037 78.29037 78.29037 118.69333 118.69333 118.69333
## [1789] 75.80148 75.80148 75.80148 112.24296 112.24296 112.24296
## [1795] 62.14392 62.14392 62.14392 104.24974 104.24974 104.24974
## [1801] 66.58201 66.58201 66.58201 92.82963 92.82963 92.82963
## [1807] 65.01037 65.01037 65.01037 102.19259 102.19259 102.19259
## [1813] 73.28593 73.28593 73.28593 129.71556 129.71556 129.71556
## [1819] 74.05037 74.05037 74.05037 105.65630 105.65630 105.65630
## [1825] 88.24889 88.24889 88.24889 122.48889 122.48889 122.48889
## [1831] 79.14074 79.14074 79.14074 103.74519 103.74519 103.74519
## [1837] 69.35873 69.35873 69.35873 100.49312 100.49312 100.49312
## [1843] 66.00212 66.00212 66.00212 105.64021 105.64021 105.64021
## [1849] 66.01481 66.01481 66.01481 103.83069 103.83069 103.83069
## [1855] 62.93037 62.93037 62.93037 110.47704 110.47704 110.47704
## [1861] 66.00889 66.00889 66.00889 111.56148 111.56148 111.56148
## [1867] 75.73333 75.73333 75.73333 111.42519 111.42519 111.42519
## [1873] 82.37037 82.37037 82.37037 106.41905 106.41905 106.41905
## [1879] 92.09312 92.09312 92.09312 106.22434 106.22434 106.22434
## [1885] 78.21926 78.21926 78.21926 101.59111 101.59111 101.59111
## [1891] 85.89630 85.89630 85.89630 114.17481 114.17481 114.17481
## [1897] 90.62519 90.62519 90.62519 122.08889 122.08889 122.08889
## [1903] 68.97566 68.97566 68.97566 112.05079 112.05079 112.05079
## [1909] 85.63598 85.63598 85.63598 112.14603 112.14603 112.14603
## [1915] 96.75556 96.75556 96.75556 141.51852 141.51852 141.51852
## [1921] 86.16667 86.16667 86.16667 141.51852 141.51852 141.51852
## [1927] 75.55185 75.55185 75.55185 140.48889 140.48889 140.48889
## [1933] 67.48783 67.48783 67.48783 105.16614 105.16614 105.16614
## [1939] 71.46878 71.46878 71.46878 111.62116 111.62116 111.62116
## [1945] 59.15556 59.15556 59.15556 109.02857 109.02857 109.02857
## [1951] 64.81481 64.81481 64.81481 109.92593 109.92593 109.92593
## [1957] 60.70519 60.70519 60.70519 116.30519 116.30519 116.30519
## [1963] 47.54370 47.54370 47.54370 96.33481 96.33481 96.33481
## [1969] 64.34370 64.34370 64.34370 112.40000 112.40000 112.40000
## [1975] 53.92000 53.92000 53.92000 99.87259 99.87259 99.87259
## [1981] 54.80593 54.80593 54.80593 90.78222 90.78222 90.78222
## [1987] 40.33185 40.33185 40.33185 77.01333 77.01333 77.01333
## [1993] 44.37926 44.37926 44.37926 82.51259 82.51259 82.51259
## [1999] 51.12889 51.12889 51.12889 81.08444 81.08444 81.08444
## [2005] 63.91704 63.91704 63.91704 102.20444 102.20444 102.20444
## [2011] 55.80741 55.80741 55.80741 99.62074 99.62074 99.62074
## [2017] 54.42667 54.42667 54.42667 101.33630 101.33630 101.33630
## [2023] 49.23259 49.23259 49.23259 90.98370 90.98370 90.98370
## [2029] 45.62963 45.62963 45.62963 102.18074 102.18074 102.18074
## [2035] 58.38222 58.38222 58.38222 115.87259 115.87259 115.87259
## [2041] 70.64593 70.64593 70.64593 122.66963 122.66963 122.66963
## [2047] 107.96444 107.96444 107.96444 166.37630 166.37630 166.37630
## [2053] 104.32889 104.32889 104.32889 146.97778 146.97778 146.97778
## [2059] 62.17481 62.17481 62.17481 118.48593 118.48593 118.48593
## [2065] 71.74222 71.74222 71.74222 129.20000 129.20000 129.20000
## [2071] 68.39407 68.39407 68.39407 122.21926 122.21926 122.21926
## [2077] 63.35111 63.35111 63.35111 69.27407 69.27407 69.27407
## [2083] 127.05778 127.05778 127.05778 77.32487 77.32487 77.32487
## [2089] 155.23556 155.23556 155.23556 65.87852 65.87852 65.87852
## [2095] 109.08444 109.08444 109.08444 62.18963 62.18963 62.18963
## [2101] 115.88444 115.88444 115.88444 69.53185 69.53185 69.53185
## [2107] 113.65630 113.65630 113.65630 75.66222 75.66222 75.66222
## [2113] 113.59407 113.59407 113.59407 77.41926 77.41926 77.41926
## [2119] 117.42815 117.42815 117.42815 67.49630 67.49630 67.49630
## [2125] 110.41185 110.41185 110.41185 74.31407 74.31407 74.31407
## [2131] 117.86074 117.86074 117.86074 85.17037 85.17037 85.17037
## [2137] 133.00741 133.00741 133.00741 60.00000 60.00000 60.00000
## [2143] 148.29037 148.29037 148.29037 74.66032 74.66032 74.66032
## [2149] 158.28148 158.28148 158.28148 74.42667 74.42667 74.42667
## [2155] 110.43556 110.43556 110.43556 77.72148 77.72148 77.72148
## [2161] 113.81333 113.81333 113.81333 74.39111 74.39111 74.39111
## [2167] 112.81778 112.81778 112.81778 67.65333 67.65333 67.65333
## [2173] 112.36741 112.36741 112.36741 67.70074 67.70074 67.70074
## [2179] 120.57481 120.57481 120.57481 90.41778 90.41778 90.41778
## [2185] 141.87556 141.87556 141.87556 95.38667 95.38667 95.38667
## [2191] 138.02074 138.02074 138.02074 98.02074 98.02074 98.02074
## [2197] 134.39704 134.39704 134.39704 87.09630 87.09630 87.09630
## [2203] 133.67407 133.67407 133.67407 106.74074 106.74074 106.74074
## [2209] 137.09926 137.09926 137.09926 82.09778 82.09778 82.09778
## [2215] 131.06074 131.06074 131.06074 93.93778 93.93778 93.93778
## [2221] 129.20593 129.20593 129.20593 88.48296 88.48296 88.48296
## [2227] 121.92889 121.92889 121.92889 77.91111 77.91111 77.91111
## [2233] 67.03915 67.03915 67.03915 73.09630 73.09630 73.09630
## [2239] 71.48571 71.48571 71.48571 74.71323 74.71323 74.71323
## [2245] 70.01693 70.01693 70.01693 84.70053 84.70053 84.70053
## [2251] 84.57566 84.57566 84.57566 61.66222 61.66222 61.66222
## [2257] 83.96402 83.96402 83.96402 88.80423 88.80423 88.80423
## [2263] 74.07619 74.07619 74.07619 77.67111 77.67111 77.67111
## [2269] 75.30370 75.30370 75.30370 70.16720 70.16720 70.16720
## [2275] 91.95767 91.95767 91.95767 77.44550 77.44550 77.44550
## [2281] 86.40593 86.40593 86.40593 75.97333 75.97333 75.97333
## [2287] 69.97672 69.97672 69.97672 85.04815 85.04815 85.04815
## [2293] 98.46349 98.46349 98.46349 77.08741 77.08741 77.08741
## [2299] 70.93333 70.93333 70.93333 76.52444 76.52444 76.52444
## [2305] 120.16296 120.16296 120.16296 86.66296 86.66296 86.66296
## [2311] 88.90741 88.90741 88.90741# Encoding the target feature as factor
cube$`Comp. Strength in %` <- cut(cube$`Comp. Strength in %`, breaks = c(0,100,200),
labels = c("A" , "B"))
cube$`Comp. Strength in %` = factor(cube$`Comp. Strength in %`,
levels = c('A', 'B'),
labels = c(0,1))summary(cube)## Concrete Grade Concrete Source Qty. Age
## 0: 0 0:1419 Length:2313 0:1173
## 1: 402 1: 894 Class :character 1:1107
## 2: 84 Mode :character 2: 3
## 3:1341 3: 30
## 4: 486
##
## Weight in Kg. Density in MT/m3 Load in KN Comp. Strength in %
## Min. :7.705 Min. : 0 Min. : 27.5 0:1413
## 1st Qu.:8.403 1st Qu.:2489 1st Qu.: 699.0 1: 900
## Median :8.520 Median :2524 Median : 982.2
## Mean :8.515 Mean :2519 Mean : 977.0
## 3rd Qu.:8.640 3rd Qu.:2560 3rd Qu.:1278.1
## Max. :9.088 Max. :2693 Max. :2222.2After retrieving and exploration (done in assignment 1) of the data, the final step is the data modelling, where we will be using three classification models - Kernel SVM model, Logistic regression model and, Random Forest Classification model. But before that, two basic steps would be performed which are splitting the data and feature scaling.
Data was split into training set and test set. Test set is 20% of the data.
# Splitting the dataset into the Training set and Test set
# install.packages('caTools')
library(caTools)
set.seed(123)
split = sample.split(cube$`Comp. Strength in %`, SplitRatio = 0.80)
training_set = subset(cube, split == TRUE)
test_set = subset(cube, split == FALSE)There can be instances found in data frame where values for one feature could range between 1-100 and values for other feature could range from 1-10000000. In scenarios like these, owing to the mere greater numeric range, the impact on response variables by the feature having greater numeric range could be more than the one having less numeric range, and this could, in turn, impact prediction accuracy. The objective is to improve predictive accuracy and not allow a particular feature impact the prediction due to large numeric value range. Thus, we may need to normalize or scale values under different features such that they fall under common range. This normalization is called feature scaling and it was performed on the training set and the test set of the data.
training_set[, 5:7] = scale(training_set[, 5:7])
test_set[, 5:7] = scale(test_set[, 5:7])Misclassification rate - 14.47% Accuracy - 85.52%
# Fitting kernel svm to the Training set
library(e1071)
classifier = svm(formula = `Comp. Strength in %` ~ `Load in KN` + `Density in MT/m3` +
`Weight in Kg.` + Age ,
data = training_set,
type = 'C-classification',
kernel = 'radial')
# Predicting the Test set results
y_pred = predict(classifier, newdata = test_set[-8])
# Making the Confusion Matrix
cm = table(test_set$`Comp. Strength in %`, y_pred)
cm## y_pred
## 0 1
## 0 227 56
## 1 11 169k-fold Cross validation is performed - the samples are randomly partitioned into k sets (called fold s) of roughly equal size. A model is fit using all the samples except the first subset. Then, the predi ction error of the fitted model is calculated using the first held-out samples. The same operation is repeated for each fold and the modelâs performance is calculated by averaging the errors across th e different test sets. K is usually fixed at 5 or 10. Cross-validation provides an estimate of the test error for each model. Accuracy obtained is 86%.
folds = createFolds(training_set$`Comp. Strength in %`, k = 10)
cv = lapply(folds, function(x) {
training_fold = training_set[-x, ]
test_fold = training_set[x, ]
classifier = svm(formula = `Comp. Strength in %` ~ `Load in KN` + `Density in MT/m3` +
`Weight in Kg.` + Age ,
data = training_fold,
type = 'C-classification',
kernel = 'radial')
y_pred = predict(classifier, newdata = test_fold[-8])
cm = table(test_fold$`Comp. Strength in %`, y_pred)
accuracy = (cm[1,1] + cm[2,2]) / (cm[1,1] + cm[2,2] + cm[1,2] + cm[2,1])
return(accuracy)
})
accuracy = mean(as.numeric(cv))
accuracy## [1] 0.86classifier = train(form = `Comp. Strength in %` ~ `Load in KN` + `Density in MT/m3` +
`Weight in Kg.` + Age,
data = training_set, method = 'svmRadial')## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.
## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.
## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.
## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.
## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.
## Warning in .local(x, ...): Variable(s) `' constant. Cannot scale data.classifier## Support Vector Machines with Radial Basis Function Kernel
##
## 1850 samples
## 4 predictor
## 2 classes: '0', '1'
##
## No pre-processing
## Resampling: Bootstrapped (25 reps)
## Summary of sample sizes: 1850, 1850, 1850, 1850, 1850, 1850, ...
## Resampling results across tuning parameters:
##
## C Accuracy Kappa
## 0.25 0.9027021 0.7988227
## 0.50 0.9050363 0.8036158
## 1.00 0.9063801 0.8063346
##
## Tuning parameter 'sigma' was held constant at a value of 0.5973066
## Accuracy was used to select the optimal model using the largest value.
## The final values used for the model were sigma = 0.5973066 and C = 1.classifier$bestTune## sigma C
## 3 0.5973066 1Misclassification rate - 15.33% Accuracy - 84.66%
# Fitting Logistic Regression to the Training set
classifier = glm(formula = `Comp. Strength in %` ~ `Load in KN` + `Density in MT/m3` +
`Weight in Kg.` + Age ,
family = binomial,
data = training_set)
# Predicting the Test set results
prob_pred = predict(classifier, type = 'response', newdata = test_set[-8])
y_pred = ifelse(prob_pred > 0.5, 1, 0)
# Making the Confusion Matrix
cm = table(test_set$`Comp. Strength in %`, y_pred)
cm## y_pred
## 0 1
## 0 225 58
## 1 13 167Misclassification rate - 4.96% Accuracy - 95.03%
library(randomForest)
set.seed(123)
classifier = randomForest(x = training_set[-8],
y = training_set$`Comp. Strength in %`,
ntree = 500)
# Predicting the Test set results
y_pred = predict(classifier, newdata = test_set[-8])
# Making the Confusion Matrix
cm = table(test_set$`Comp. Strength in %`, y_pred)
cm## y_pred
## 0 1
## 0 266 17
## 1 9 171All the three classification models performed well, with a good high accuracy. Amongst all the three classification models, Random forest classification model performed the best. And hence can be used for prediction of the compressive strength. We can provide a portal to the company that can help to predict and provide them with an intuition as to how much strength can be achieved by given combination of features, before actually building it. This can help them save on cost of production, time and labour involved. Fine tuning of the parameters involved in building the concrete, can help to restrict the compressive strength within limits, ultimately avoiding the creation of dead load in the structure. This will help the buildings to function and perform better in the long run, and avoiding life hazards due to weak concrete structure.