MLProject
Santhosh Gujje
2022-04-18
Machine Learning I Project
This project uses data from the resin material manufacturing company to build various predictive models to understand and improve the final product yield.
library(readxl)
library(tidyr)##
## Attaching package: 'tidyr'## The following object is masked from 'package:magrittr':
##
## extractlibrary(stringr)
library(dplyr)##
## Attaching package: 'dplyr'## The following objects are masked from 'package:xts':
##
## first, last## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionrawdata = read_excel("C:\\Users\\gujjes\\Downloads\\ResinProductML.xlsx")
#Removing the spaces from column names
names(rawdata)<-str_replace_all(names(rawdata), c(" " = "." , "," = "" ))
data = subset(rawdata,select=-c(Lot.Number,Start.DateTime))
data$TreeSite = as.factor(data$TreeSite)
#Adding quality variable as a category generated from continuous variable
data$resinquality = cut(data$Final.Resin.Product,breaks = c(20,55,65,90),labels = c('Bad','Good','VeryGood'))
data## # A tibble: 340 x 40
## TreeSite Raw.Resin Pressure Step1.Temp Step1.conductiv~ Step1.Resin Step2.pH
## <fct> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 City Har~ 14761 8 18 12.2 12667. 5.61
## 2 City Har~ 14512 2 18 12.6 11716. 5.63
## 3 City Har~ 15246 2 18 12.6 12384. 5.65
## 4 City Har~ 14843 2 18 12.1 11926. 5.68
## 5 City Har~ 14562 3 18 12.8 12478. 5.61
## 6 City Har~ 15721 3 18 12.8 12787. 5.66
## 7 Village ~ 15074 0 18 13.5 15878. 5.61
## 8 City Har~ 15898 5 18 12.8 13700. 5.61
## 9 Village ~ 13829 7 18 13.4 13908. 5.62
## 10 City Har~ 13853 7 18 12.8 12593. 5.69
## # ... with 330 more rows, and 33 more variables: Step2.Conductivity <dbl>,
## # Step2.Yield <dbl>, Step3.Temp <dbl>, Step3.pH <dbl>,
## # Step3.Conductivity <dbl>, Step3.yield <dbl>, Step3.compression <dbl>,
## # Step4.pH <dbl>, Step5.resin <dbl>, Step5.yield <dbl>, Step5.temp <dbl>,
## # Step6.pH.start <dbl>, Step6.Conductivity.start <dbl>,
## # Step6.temperature <dbl>, Step7.symmetry <dbl>, Step7.resin <dbl>,
## # Step8.temperature <dbl>, Step8.resin <dbl>, step.8.yield <dbl>, ...#Imputing missing data with the column mean values
which(colSums(is.na(data))>0)## Pressure Step3.Temp Step3.compression Step5.resin
## 3 10 14 16
## Step5.yield Step5.temp Step7.symmetry Step8.temperature
## 17 18 22 24
## Step7.UV Step-1.pH step0.warmup.hrs step0.input.pH
## 27 29 33 34
## step0.output.pH Step0.tmpressure Step0.return.flow Step0.temperature
## 35 36 37 38data$Pressure[which(is.na(data$Pressure))] = mean(data$Pressure,na.rm = TRUE)
data$Step3.Temp[which(is.na(data$Step3.Temp))] = mean(data$Step3.Temp,na.rm = TRUE)
data$Step3.compression[which(is.na(data$Step3.compression))] = mean(data$Step3.compression,na.rm = TRUE)
data$Step5.resin[which(is.na(data$Step5.resin))] = mean(data$Step5.resin,na.rm = TRUE)
data$Step5.yield[which(is.na(data$Step5.yield))] = mean(data$Step5.yield,na.rm = TRUE)
data$Step5.temp[which(is.na(data$Step5.temp))] = mean(data$Step5.temp,na.rm = TRUE)
data$Step7.symmetry[which(is.na(data$Step7.symmetry))] = mean(data$Step7.symmetry,na.rm = TRUE)
data$Step8.temperature[which(is.na(data$Step8.temperature))] = mean(data$Step8.temperature,na.rm = TRUE)
data$Step7.UV[which(is.na(data$Step7.UV))] = mean(data$Step7.UV,na.rm = TRUE)
data$`Step-1.pH`[which(is.na(data$`Step-1.pH`))] = mean(data$`Step-1.pH`,na.rm = TRUE)
data$step0.warmup.hrs[which(is.na(data$step0.warmup.hrs))] = mean(data$step0.warmup.hrs,na.rm = TRUE)
data$step0.input.pH[which(is.na(data$step0.input.pH))] = mean(data$step0.input.pH,na.rm = TRUE)
data$step0.output.pH[which(is.na(data$step0.output.pH))] = mean(data$step0.output.pH,na.rm = TRUE)
data$Step0.tmpressure[which(is.na(data$Step0.tmpressure))] = mean(data$Step0.tmpressure,na.rm = TRUE)
data$Step0.return.flow[which(is.na(data$Step0.return.flow))] = mean(data$Step0.return.flow,na.rm = TRUE)
data$Step0.temperature[which(is.na(data$Step0.temperature))] = mean(data$Step0.temperature,na.rm = TRUE)
summary(data)## TreeSite Raw.Resin Pressure Step1.Temp
## City Harvest :121 Min. :11218 Min. : 0.000 Min. :18
## Mix Harvest : 78 1st Qu.:13355 1st Qu.: 0.000 1st Qu.:18
## Village Harvest:141 Median :14373 Median : 1.000 Median :18
## Mean :14194 Mean : 1.513 Mean :18
## 3rd Qu.:15039 3rd Qu.: 2.000 3rd Qu.:18
## Max. :16187 Max. :25.000 Max. :18
## Step1.conductivity Step1.Resin Step2.pH Step2.Conductivity
## Min. : 6.40 Min. :10355 Min. :5.300 Min. :42.00
## 1st Qu.:13.10 1st Qu.:12814 1st Qu.:5.610 1st Qu.:47.00
## Median :13.30 Median :13501 Median :5.630 Median :48.00
## Mean :13.15 Mean :13541 Mean :5.628 Mean :48.25
## 3rd Qu.:13.50 3rd Qu.:14208 3rd Qu.:5.650 3rd Qu.:49.00
## Max. :13.80 Max. :17215 Max. :5.700 Max. :54.00
## Step2.Yield Step3.Temp Step3.pH Step3.Conductivity
## Min. : 3.000 Min. :18.00 Min. :5.550 Min. :36.00
## 1st Qu.: 8.000 1st Qu.:19.71 1st Qu.:5.640 1st Qu.:40.00
## Median : 8.000 Median :19.71 Median :5.660 Median :40.00
## Mean : 8.174 Mean :19.71 Mean :5.655 Mean :40.06
## 3rd Qu.: 9.000 3rd Qu.:19.71 3rd Qu.:5.680 3rd Qu.:40.00
## Max. :10.000 Max. :22.00 Max. :5.700 Max. :42.00
## Step3.yield Step3.compression Step4.pH Step5.resin
## Min. :14.00 Min. :1.120 Min. :4.670 Min. :115.2
## 1st Qu.:16.00 1st Qu.:1.160 1st Qu.:6.570 1st Qu.:142.8
## Median :17.00 Median :1.178 Median :6.935 Median :149.8
## Mean :16.95 Mean :1.178 Mean :6.952 Mean :149.8
## 3rd Qu.:18.00 3rd Qu.:1.178 3rd Qu.:7.522 3rd Qu.:157.2
## Max. :39.00 Max. :1.260 Max. :7.990 Max. :191.4
## Step5.yield Step5.temp Step6.pH.start Step6.Conductivity.start
## Min. : 76.0 Min. :17.00 Min. :4.510 Min. :100.7
## 1st Qu.: 79.0 1st Qu.:19.00 1st Qu.:4.630 1st Qu.:104.1
## Median : 81.0 Median :19.00 Median :4.660 Median :105.4
## Mean : 80.8 Mean :19.07 Mean :4.655 Mean :105.8
## 3rd Qu.: 82.0 3rd Qu.:20.00 3rd Qu.:4.680 3rd Qu.:106.7
## Max. :102.0 Max. :21.00 Max. :4.700 Max. :130.1
## Step6.temperature Step7.symmetry Step7.resin Step8.temperature
## Min. :17.00 Min. :1.060 Min. : 40.90 Min. :16.00
## 1st Qu.:18.00 1st Qu.:1.470 1st Qu.: 59.60 1st Qu.:18.55
## Median :18.00 Median :1.610 Median : 62.80 Median :18.55
## Mean :17.76 Mean :1.781 Mean : 63.22 Mean :18.55
## 3rd Qu.:18.00 3rd Qu.:1.730 3rd Qu.: 66.83 3rd Qu.:18.55
## Max. :19.00 Max. :9.670 Max. :102.30 Max. :21.00
## Step8.resin step.8.yield Step7.UV Step8.UV
## Min. :35.40 Min. : 87.0 Min. :2.802 Min. :0.6432
## 1st Qu.:56.75 1st Qu.: 91.0 1st Qu.:2.983 1st Qu.:0.6981
## Median :60.20 Median : 92.0 Median :2.997 Median :0.7055
## Mean :60.06 Mean : 91.8 Mean :2.998 Mean :0.7061
## 3rd Qu.:63.42 3rd Qu.: 93.0 3rd Qu.:3.010 3rd Qu.:0.7147
## Max. :76.70 Max. :101.0 Max. :3.652 Max. :0.7506
## Step-1.pH step-1.particles step-1.quality% step0.total.particles
## Min. :7.067 Min. : 1610000 Min. :77.74 Min. : 590000
## 1st Qu.:7.156 1st Qu.: 2730242 1st Qu.:89.83 1st Qu.: 876026
## Median :7.200 Median : 3037180 Median :92.24 Median : 954872
## Mean :7.182 Mean : 3271822 Mean :91.51 Mean : 977305
## 3rd Qu.:7.200 3rd Qu.: 3317903 3rd Qu.:93.75 3rd Qu.:1021514
## Max. :7.325 Max. :33000000 Max. :98.20 Max. :4990000
## step0.warmup.hrs step0.input.pH step0.output.pH Step0.tmpressure
## Min. :14.00 Min. :7.000 Min. :7.200 Min. :10.13
## 1st Qu.:16.93 1st Qu.:7.137 1st Qu.:7.267 1st Qu.:13.93
## Median :16.93 Median :7.200 Median :7.294 Median :14.67
## Mean :16.93 Mean :7.175 Mean :7.286 Mean :14.79
## 3rd Qu.:16.93 3rd Qu.:7.200 3rd Qu.:7.300 3rd Qu.:15.76
## Max. :21.05 Max. :7.300 Max. :7.377 Max. :19.48
## Step0.return.flow Step0.temperature Final.Resin.Product resinquality
## Min. : 74.75 Min. : 9.00 Min. :34.99 Bad : 49
## 1st Qu.: 81.91 1st Qu.:10.00 1st Qu.:57.34 Good :219
## Median : 81.91 Median :10.12 Median :60.93 VeryGood: 72
## Mean : 81.91 Mean :10.12 Mean :60.74
## 3rd Qu.: 81.91 3rd Qu.:10.12 3rd Qu.:64.14
## Max. :114.00 Max. :21.27 Max. :78.59str(data)## tibble [340 x 40] (S3: tbl_df/tbl/data.frame)
## $ TreeSite : Factor w/ 3 levels "City Harvest",..: 1 1 1 1 1 1 3 1 3 1 ...
## $ Raw.Resin : num [1:340] 14761 14512 15246 14843 14562 ...
## $ Pressure : num [1:340] 8 2 2 2 3 3 0 5 7 7 ...
## $ Step1.Temp : num [1:340] 18 18 18 18 18 18 18 18 18 18 ...
## $ Step1.conductivity : num [1:340] 12.2 12.6 12.6 12.1 12.8 12.8 13.5 12.8 13.4 12.8 ...
## $ Step1.Resin : num [1:340] 12667 11716 12384 11926 12478 ...
## $ Step2.pH : num [1:340] 5.61 5.63 5.65 5.68 5.61 5.66 5.61 5.61 5.62 5.69 ...
## $ Step2.Conductivity : num [1:340] 50 50 49 49 47 48 48 47 47 47 ...
## $ Step2.Yield : num [1:340] 8 8 8 8 9 8 8 8 8 9 ...
## $ Step3.Temp : num [1:340] 19 18 19 20 19 19 19 19 19 19 ...
## $ Step3.pH : num [1:340] 5.61 5.6 5.64 5.67 5.62 5.61 5.65 5.65 5.62 5.56 ...
## $ Step3.Conductivity : num [1:340] 40 40 40 40 40 41 41 40 41 40 ...
## $ Step3.yield : num [1:340] 17 17 17 17 16 17 17 16 18 14 ...
## $ Step3.compression : num [1:340] 1.26 1.26 1.26 1.26 1.26 1.26 1.26 1.26 1.26 1.26 ...
## $ Step4.pH : num [1:340] 6.1 6.44 7.71 7.81 7.55 6.66 7.87 7.2 7.6 6.64 ...
## $ Step5.resin : num [1:340] 129 129 132 142 135 ...
## $ Step5.yield : num [1:340] 76 80 78 81 79 80 81 81 82 78 ...
## $ Step5.temp : num [1:340] 20 19 19 19 19 18 18 18 20 18 ...
## $ Step6.pH.start : num [1:340] 4.61 4.69 4.66 4.7 4.7 4.65 4.66 4.68 4.51 4.63 ...
## $ Step6.Conductivity.start: num [1:340] 104 106 105 105 105 ...
## $ Step6.temperature : num [1:340] 18 17 18 17 17 17 18 17 17 17 ...
## $ Step7.symmetry : num [1:340] 1.64 1.64 1.64 1.64 1.64 1.64 1.53 1.64 1.64 1.64 ...
## $ Step7.resin : num [1:340] 50.2 50.1 52.9 56.8 53.7 57.1 80.1 58.5 67 50 ...
## $ Step8.temperature : num [1:340] 18 18.5 18.5 18.5 18.5 ...
## $ Step8.resin : num [1:340] 46.7 49.5 50.4 53.2 52 52.5 72.4 54.8 65.8 47.2 ...
## $ step.8.yield : num [1:340] 88 87 90 90 92 90 92 90 90 91 ...
## $ Step7.UV : num [1:340] 2.98 3.04 3.01 2.98 3 ...
## $ Step8.UV : num [1:340] 0.69 0.699 0.721 0.707 0.698 ...
## $ Step-1.pH : num [1:340] 7.3 7.3 7.29 7.1 7.1 ...
## $ step-1.particles : num [1:340] 3207143 1610000 2606000 2410000 2510000 ...
## $ step-1.quality% : num [1:340] 86 87.2 90 90.8 84.6 ...
## $ step0.total.particles : num [1:340] 817949 917949 907009 948718 928205 ...
## $ step0.warmup.hrs : num [1:340] 16.9 16.9 16.9 16.9 16.9 ...
## $ step0.input.pH : num [1:340] 7.2 7.2 7.21 7 7.2 ...
## $ step0.output.pH : num [1:340] 7.28 7.3 7.3 7.3 7.3 ...
## $ Step0.tmpressure : num [1:340] 10.4 11.2 12.4 12.1 11.4 ...
## $ Step0.return.flow : num [1:340] 81.9 81.9 81.9 81.9 81.9 ...
## $ Step0.temperature : num [1:340] 10.1 10.1 10.1 10.1 10.1 ...
## $ Final.Resin.Product : num [1:340] 44.7 45.2 51.4 53.6 52.3 ...
## $ resinquality : Factor w/ 3 levels "Bad","Good","VeryGood": 1 1 1 1 1 1 3 2 3 1 ...#write.csv(data,"C:\\Users\\gujjes\\Downloads\\MLUnivdata2.csv",row.names = TRUE)##data
Exploring data
## corrplot 0.92 loaded##
## Attaching package: 'pastecs'## The following objects are masked from 'package:dplyr':
##
## first, last## The following object is masked from 'package:tidyr':
##
## extract## The following object is masked from 'package:magrittr':
##
## extract## The following objects are masked from 'package:xts':
##
## first, last## Loading required package: survival##
## Attaching package: 'survival'## The following object is masked from 'package:caret':
##
## cluster## Loading required package: Formula##
## Attaching package: 'Hmisc'## The following objects are masked from 'package:dplyr':
##
## src, summarize## The following object is masked from 'package:quantmod':
##
## Lag## The following objects are masked from 'package:base':
##
## format.pval, units## TreeSite Raw.Resin Pressure Step1.Temp Step1.conductivity
## nbr.val NA 3.400000e+02 340.0000000 340 3.400000e+02
## nbr.null NA 0.000000e+00 122.0000000 0 0.000000e+00
## nbr.na NA 0.000000e+00 0.0000000 0 0.000000e+00
## min NA 1.121820e+04 0.0000000 18 6.400000e+00
## max NA 1.618700e+04 25.0000000 18 1.380000e+01
## range NA 4.968800e+03 25.0000000 0 7.400000e+00
## sum NA 4.826067e+06 514.5400593 6120 4.472060e+03
## median NA 1.437325e+04 1.0000000 18 1.330000e+01
## mean NA 1.419432e+04 1.5133531 18 1.315312e+01
## SE.mean NA 5.890625e+01 0.1158223 0 4.907970e-02
## CI.mean NA 1.158678e+02 0.2278209 0 9.653911e-02
## var NA 1.179782e+06 4.5610322 0 8.189979e-01
## std.dev NA 1.086178e+03 2.1356573 0 9.049850e-01
## coef.var NA 7.652201e-02 1.4112089 0 6.880384e-02
## Step1.Resin Step2.pH Step2.Conductivity Step2.Yield Step3.Temp
## nbr.val 3.400000e+02 3.400000e+02 3.400000e+02 3.400000e+02 3.400000e+02
## nbr.null 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
## nbr.na 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
## min 1.035540e+04 5.300000e+00 4.200000e+01 3.000000e+00 1.800000e+01
## max 1.721470e+04 5.700000e+00 5.400000e+01 1.000000e+01 2.200000e+01
## range 6.859300e+03 4.000000e-01 1.200000e+01 7.000000e+00 4.000000e+00
## sum 4.603800e+06 1.913470e+03 1.640400e+04 2.779000e+03 6.702517e+03
## median 1.350075e+04 5.630000e+00 4.800000e+01 8.000000e+00 1.971329e+01
## mean 1.354059e+04 5.627853e+00 4.824706e+01 8.173529e+00 1.971329e+01
## SE.mean 6.068468e+01 1.721884e-03 7.423898e-02 4.474480e-02 2.874625e-02
## CI.mean 1.193659e+02 3.386923e-03 1.460271e-01 8.801243e-02 5.654349e-02
## var 1.252094e+06 1.008061e-03 1.873885e+00 6.807132e-01 2.809580e-01
## std.dev 1.118970e+03 3.174997e-02 1.368899e+00 8.250534e-01 5.300547e-01
## coef.var 8.263822e-02 5.641579e-03 2.837270e-02 1.009421e-01 2.688819e-02
## Step3.pH Step3.Conductivity Step3.yield Step3.compression
## nbr.val 3.400000e+02 3.400000e+02 340.0000000 3.400000e+02
## nbr.null 0.000000e+00 0.000000e+00 0.0000000 0.000000e+00
## nbr.na 0.000000e+00 0.000000e+00 0.0000000 0.000000e+00
## min 5.550000e+00 3.600000e+01 14.0000000 1.120000e+00
## max 5.700000e+00 4.200000e+01 39.0000000 1.260000e+00
## range 1.500000e-01 6.000000e+00 25.0000000 1.400000e-01
## sum 1.922750e+03 1.362000e+04 5764.0000000 4.003942e+02
## median 5.660000e+00 4.000000e+01 17.0000000 1.177630e+00
## mean 5.655147e+00 4.005882e+01 16.9529412 1.177630e+00
## SE.mean 1.593009e-03 2.615102e-02 0.1032715 1.662397e-03
## CI.mean 3.133427e-03 5.143870e-02 0.2031335 3.269912e-03
## var 8.628102e-04 2.325178e-01 3.6260975 9.396116e-04
## std.dev 2.937363e-02 4.822010e-01 1.9042315 3.065308e-02
## coef.var 5.194141e-03 1.203732e-02 0.1123245 2.602947e-02
## Step4.pH Step5.resin Step5.yield Step5.temp Step6.pH.start
## nbr.val 3.400000e+02 3.400000e+02 3.400000e+02 3.400000e+02 3.400000e+02
## nbr.null 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
## nbr.na 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
## min 4.670000e+00 1.152000e+02 7.600000e+01 1.700000e+01 4.510000e+00
## max 7.990000e+00 1.914000e+02 1.020000e+02 2.100000e+01 4.700000e+00
## range 3.320000e+00 7.620000e+01 2.600000e+01 4.000000e+00 1.900000e-01
## sum 2.363730e+03 5.093954e+04 2.747076e+04 6.483697e+03 1.582560e+03
## median 6.935000e+00 1.498222e+02 8.100000e+01 1.900000e+01 4.660000e+00
## mean 6.952147e+00 1.498222e+02 8.079635e+01 1.906970e+01 4.654588e+00
## SE.mean 3.591999e-02 6.207362e-01 1.163143e-01 4.010625e-02 1.813924e-03
## CI.mean 7.065414e-02 1.220980e+00 2.287887e-01 7.888844e-02 3.567964e-03
## var 4.386836e-01 1.310066e+02 4.599869e+00 5.468937e-01 1.118709e-03
## std.dev 6.623319e-01 1.144581e+01 2.144731e+00 7.395226e-01 3.344711e-02
## coef.var 9.527013e-02 7.639596e-02 2.654489e-02 3.877999e-02 7.185836e-03
## Step6.Conductivity.start Step6.temperature Step7.symmetry Step7.resin
## nbr.val 3.400000e+02 3.400000e+02 340.00000000 3.400000e+02
## nbr.null 0.000000e+00 0.000000e+00 0.00000000 0.000000e+00
## nbr.na 0.000000e+00 0.000000e+00 0.00000000 0.000000e+00
## min 1.006610e+02 1.700000e+01 1.06000000 4.090000e+01
## max 1.301250e+02 1.900000e+01 9.67000000 1.023000e+02
## range 2.946400e+01 2.000000e+00 8.61000000 6.140000e+01
## sum 3.596325e+04 6.040000e+03 605.68141593 2.149330e+04
## median 1.053610e+02 1.800000e+01 1.61000000 6.280000e+01
## mean 1.057742e+02 1.776471e+01 1.78141593 6.321559e+01
## SE.mean 1.735648e-01 2.377969e-02 0.07152314 3.591286e-01
## CI.mean 3.413996e-01 4.677432e-02 0.14068504 7.064011e-01
## var 1.024241e+01 1.922610e-01 1.73929003 4.385094e+01
## std.dev 3.200377e+00 4.384757e-01 1.31882146 6.622004e+00
## coef.var 3.025667e-02 2.468241e-02 0.74032203 1.047527e-01
## Step8.temperature Step8.resin step.8.yield Step7.UV Step8.UV
## nbr.val 3.400000e+02 3.400000e+02 3.400000e+02 3.400000e+02 3.400000e+02
## nbr.null 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
## nbr.na 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
## min 1.600000e+01 3.540000e+01 8.700000e+01 2.802000e+00 6.432000e-01
## max 2.100000e+01 7.670000e+01 1.010000e+02 3.652000e+00 7.506000e-01
## range 5.000000e+00 4.130000e+01 1.400000e+01 8.500000e-01 1.074000e-01
## sum 6.305714e+03 2.041970e+04 3.121100e+04 1.019417e+03 2.400877e+02
## median 1.854622e+01 6.020000e+01 9.200000e+01 2.997000e+00 7.054500e-01
## mean 1.854622e+01 6.005794e+01 9.179706e+01 2.998286e+00 7.061403e-01
## SE.mean 3.696538e-02 3.111984e-01 7.561404e-02 2.563363e-03 6.943165e-04
## CI.mean 7.271040e-02 6.121230e-01 1.487318e-01 5.042100e-03 1.365711e-03
## var 4.645894e-01 3.292710e+01 1.943944e+00 2.234082e-03 1.639057e-04
## std.dev 6.816079e-01 5.738214e+00 1.394254e+00 4.726608e-02 1.280256e-02
## coef.var 3.675186e-02 9.554464e-02 1.518844e-02 1.576437e-02 1.813034e-02
## Step-1.pH step-1.particles step-1.quality% step0.total.particles
## nbr.val 3.400000e+02 3.400000e+02 3.400000e+02 3.400000e+02
## nbr.null 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
## nbr.na 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
## min 7.066667e+00 1.610000e+06 7.774193e+01 5.900000e+05
## max 7.325000e+00 3.300000e+07 9.820000e+01 4.990000e+06
## range 2.583330e-01 3.139000e+07 2.045807e+01 4.400000e+06
## sum 2.441951e+03 1.112419e+09 3.111444e+04 3.322836e+08
## median 7.200000e+00 3.037180e+06 9.224000e+01 9.548718e+05
## mean 7.182208e+00 3.271822e+06 9.151305e+01 9.773047e+05
## SE.mean 2.678909e-03 1.342720e+05 1.696757e-01 1.694417e+04
## CI.mean 5.269377e-03 2.641113e+05 3.337498e-01 3.332896e+04
## var 2.440028e-03 6.129854e+12 9.788547e+00 9.761570e+10
## std.dev 4.939664e-02 2.475854e+06 3.128665e+00 3.124351e+05
## coef.var 6.877639e-03 7.567204e-01 3.418819e-02 3.196906e-01
## step0.warmup.hrs step0.input.pH step0.output.pH Step0.tmpressure
## nbr.val 3.400000e+02 3.400000e+02 3.400000e+02 3.400000e+02
## nbr.null 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
## nbr.na 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
## min 1.400000e+01 7.000000e+00 7.200000e+00 1.012759e+01
## max 2.105000e+01 7.300000e+00 7.376667e+00 1.948214e+01
## range 7.050000e+00 3.000000e-01 1.766670e-01 9.354557e+00
## sum 5.756665e+03 2.439521e+03 2.477091e+03 5.030191e+03
## median 1.693137e+01 7.200000e+00 7.293750e+00 1.467152e+01
## mean 1.693137e+01 7.175062e+00 7.285562e+00 1.479468e+01
## SE.mean 4.916739e-02 2.508186e-03 1.548024e-03 9.687572e-02
## CI.mean 9.671160e-02 4.933567e-03 3.044943e-03 1.905532e-01
## var 8.219271e-01 2.138938e-03 8.147688e-04 3.190868e+00
## std.dev 9.066020e-01 4.624866e-02 2.854416e-02 1.786300e+00
## coef.var 5.354570e-02 6.445750e-03 3.917907e-03 1.207393e-01
## Step0.return.flow Step0.temperature Final.Resin.Product resinquality
## nbr.val 3.400000e+02 3.400000e+02 3.400000e+02 NA
## nbr.null 0.000000e+00 0.000000e+00 0.000000e+00 NA
## nbr.na 0.000000e+00 0.000000e+00 0.000000e+00 NA
## min 7.475000e+01 9.000000e+00 3.499280e+01 NA
## max 1.140000e+02 2.126944e+01 7.859170e+01 NA
## range 3.925000e+01 1.226944e+01 4.359890e+01 NA
## sum 2.784841e+04 3.440101e+03 2.065289e+04 NA
## median 8.190710e+01 1.011794e+01 6.093400e+01 NA
## mean 8.190710e+01 1.011794e+01 6.074381e+01 NA
## SE.mean 1.768594e-01 3.682260e-02 3.221108e-01 NA
## CI.mean 3.478801e-01 7.242955e-02 6.335876e-01 NA
## var 1.063494e+01 4.610072e-01 3.527683e+01 NA
## std.dev 3.261126e+00 6.789751e-01 5.939430e+00 NA
## coef.var 3.981494e-02 6.710604e-02 9.777837e-02 NA
## Warning in cor(data[, c(2:39)]): the standard deviation is zero
## `geom_smooth()` using formula 'y ~ x'
## `geom_smooth()` using formula 'y ~ x'
Outli
##
## Bad Good VeryGood
## 49 219 72##
## Bad Good VeryGood
## 0.1444444 0.6444444 0.2111111##
## Bad Good VeryGood
## 0.1428571 0.6428571 0.2142857