library(factoextra)
## Warning: package 'factoextra' was built under R version 4.0.5
## Loading required package: ggplot2
## Warning: package 'ggplot2' was built under R version 4.0.5
## Warning: replacing previous import 'lifecycle::last_warnings' by
## 'rlang::last_warnings' when loading 'pillar'
## Welcome! Want to learn more? See two factoextra-related books at https://goo.gl/ve3WBa
library(cluster)
## Warning: package 'cluster' was built under R version 4.0.5
#Import dataset
library(readr)
## Warning: replacing previous import 'lifecycle::last_warnings' by
## 'rlang::last_warnings' when loading 'hms'
data <- read_csv("C:/Users/Desktop/Downloads/raw.csv")
##
## -- Column specification --------------------------------------------------------
## cols(
## No = col_double(),
## year = col_double(),
## month = col_double(),
## day = col_double(),
## hour = col_double(),
## pm2.5 = col_double(),
## DEWP = col_double(),
## TEMP = col_double(),
## PRES = col_double(),
## cbwd = col_character(),
## Iws = col_double(),
## Is = col_double(),
## Ir = col_double()
## )
data
#Remove Any rows with missing values
df <- na.omit(data)
#Remove any Columns that is not needed
df1 = subset(df, select = -c(cbwd,Is,Ir) )
df1
#Scale Data
df2 <- scale(df1)
df3 <- round(df2,6)
#Read the data with only first 100 rows
df4 <- head(df3,100)
df4
## No year month day hour pm2.5 DEWP
## [1,] -1.758104 -1.443338 -1.596248 -1.557732 -1.661020 0.330110 -1.229777
## [2,] -1.758025 -1.443338 -1.596248 -1.557732 -1.516613 0.536519 -1.160494
## [3,] -1.757946 -1.443338 -1.596248 -1.557732 -1.372205 0.656019 -0.883364
## [4,] -1.757867 -1.443338 -1.596248 -1.557732 -1.227798 0.895018 -0.606234
## [5,] -1.757788 -1.443338 -1.596248 -1.557732 -1.083390 0.427883 -0.606234
## [6,] -1.757709 -1.443338 -1.596248 -1.557732 -0.938983 0.112838 -0.606234
## [7,] -1.757630 -1.443338 -1.596248 -1.557732 -0.794575 0.069384 -0.606234
## [8,] -1.757551 -1.443338 -1.596248 -1.557732 -0.650168 0.275792 -0.606234
## [9,] -1.757472 -1.443338 -1.596248 -1.557732 -0.505760 0.232338 -0.675516
## [10,] -1.757393 -1.443338 -1.596248 -1.557732 -0.361352 0.362701 -0.606234
## [11,] -1.757314 -1.443338 -1.596248 -1.557732 -0.216945 0.449610 -0.606234
## [12,] -1.757235 -1.443338 -1.596248 -1.557732 -0.072537 0.579974 -0.675516
## [13,] -1.757156 -1.443338 -1.596248 -1.557732 0.071870 0.536519 -0.675516
## [14,] -1.757077 -1.443338 -1.596248 -1.557732 0.216278 0.710337 -0.675516
## [15,] -1.756998 -1.443338 -1.596248 -1.557732 0.360685 0.645155 -0.744799
## [16,] -1.756919 -1.443338 -1.596248 -1.557732 0.505093 0.601701 -0.744799
## [17,] -1.756840 -1.443338 -1.596248 -1.557732 0.649500 0.656019 -0.744799
## [18,] -1.756761 -1.443338 -1.596248 -1.557732 0.793908 0.710337 -0.675516
## [19,] -1.756682 -1.443338 -1.596248 -1.557732 0.938315 0.775519 -0.675516
## [20,] -1.756603 -1.443338 -1.596248 -1.557732 1.082723 0.547383 -0.675516
## [21,] -1.756524 -1.443338 -1.596248 -1.557732 1.227130 0.601701 -0.606234
## [22,] -1.756445 -1.443338 -1.596248 -1.557732 1.371538 0.710337 -0.606234
## [23,] -1.756366 -1.443338 -1.596248 -1.557732 1.515945 0.623428 -0.675516
## [24,] -1.756287 -1.443338 -1.596248 -1.557732 1.660353 0.297520 -0.675516
## [25,] -1.756208 -1.443338 -1.596248 -1.443908 -1.661020 -0.093571 -0.606234
## [26,] -1.756129 -1.443338 -1.596248 -1.443908 -1.516613 -0.386888 -0.675516
## [27,] -1.756050 -1.443338 -1.596248 -1.443908 -1.372205 -0.365161 -0.675516
## [28,] -1.755971 -1.443338 -1.596248 -1.443908 -1.227798 -0.473797 -0.675516
## [29,] -1.755892 -1.443338 -1.596248 -1.443908 -1.083390 -0.365161 -0.675516
## [30,] -1.755813 -1.443338 -1.596248 -1.443908 -0.938983 -0.169616 -0.744799
## [31,] -1.755734 -1.443338 -1.596248 -1.443908 -0.794575 -0.082707 -0.814081
## [32,] -1.755655 -1.443338 -1.596248 -1.443908 -0.650168 -0.137025 -0.814081
## [33,] -1.755576 -1.443338 -1.596248 -1.443908 -0.505760 -0.180480 -0.814081
## [34,] -1.755497 -1.443338 -1.596248 -1.443908 -0.361352 -0.137025 -0.883364
## [35,] -1.755418 -1.443338 -1.596248 -1.443908 -0.216945 -0.223934 -0.883364
## [36,] -1.755339 -1.443338 -1.596248 -1.443908 -0.072537 -0.006662 -0.883364
## [37,] -1.755260 -1.443338 -1.596248 -1.443908 0.071870 0.091111 -0.883364
## [38,] -1.755181 -1.443338 -1.596248 -1.443908 0.216278 -0.093571 -0.883364
## [39,] -1.755102 -1.443338 -1.596248 -1.443908 0.360685 -0.028389 -0.883364
## [40,] -1.755023 -1.443338 -1.596248 -1.443908 0.505093 -0.039253 -0.883364
## [41,] -1.754944 -1.443338 -1.596248 -1.443908 0.649500 -0.137025 -0.883364
## [42,] -1.754865 -1.443338 -1.596248 -1.443908 0.793908 -0.310843 -0.883364
## [43,] -1.754786 -1.443338 -1.596248 -1.443908 0.938315 -0.408615 -0.883364
## [44,] -1.754707 -1.443338 -1.596248 -1.443908 1.082723 -0.495524 -0.883364
## [45,] -1.754628 -1.443338 -1.596248 -1.443908 1.227130 -0.299979 -0.814081
## [46,] -1.754549 -1.443338 -1.596248 -1.443908 1.371538 -0.289116 -0.883364
## [47,] -1.754470 -1.443338 -1.596248 -1.443908 1.515945 -0.245661 -0.883364
## [48,] -1.754391 -1.443338 -1.596248 -1.443908 1.660353 -0.278252 -0.952646
## [49,] -1.754312 -1.443338 -1.596248 -1.330085 -1.661020 -0.213070 -1.091211
## [50,] -1.754233 -1.443338 -1.596248 -1.330085 -1.516613 -0.441206 -1.229777
## [51,] -1.754154 -1.443338 -1.596248 -1.330085 -1.372205 -0.799706 -1.299059
## [52,] -1.754075 -1.443338 -1.596248 -1.330085 -1.227798 -0.788842 -1.368342
## [53,] -1.753996 -1.443338 -1.596248 -1.330085 -1.083390 -0.767115 -1.437624
## [54,] -1.753917 -1.443338 -1.596248 -1.330085 -0.938983 -0.788842 -1.506907
## [55,] -1.753838 -1.443338 -1.596248 -1.330085 -0.794575 -0.854024 -1.576189
## [56,] -1.753759 -1.443338 -1.596248 -1.330085 -0.650168 -0.756251 -1.576189
## [57,] -1.753680 -1.443338 -1.596248 -1.330085 -0.505760 -0.788842 -1.645472
## [58,] -1.753601 -1.443338 -1.596248 -1.330085 -0.361352 -0.777978 -1.645472
## [59,] -1.753522 -1.443338 -1.596248 -1.330085 -0.216945 -0.777978 -1.645472
## [60,] -1.753443 -1.443338 -1.596248 -1.330085 -0.072537 -0.799706 -1.714754
## [61,] -1.753364 -1.443338 -1.596248 -1.330085 0.071870 -0.756251 -1.576189
## [62,] -1.753285 -1.443338 -1.596248 -1.330085 0.216278 -0.723660 -1.506907
## [63,] -1.753206 -1.443338 -1.596248 -1.330085 0.360685 -0.767115 -1.576189
## [64,] -1.753127 -1.443338 -1.596248 -1.330085 0.505093 -0.756251 -1.576189
## [65,] -1.753048 -1.443338 -1.596248 -1.330085 0.649500 -0.745388 -1.576189
## [66,] -1.752969 -1.443338 -1.596248 -1.330085 0.793908 -0.745388 -1.506907
## [67,] -1.752890 -1.443338 -1.596248 -1.330085 0.938315 -0.767115 -1.714754
## [68,] -1.752811 -1.443338 -1.596248 -1.330085 1.082723 -0.788842 -1.576189
## [69,] -1.752732 -1.443338 -1.596248 -1.330085 1.227130 -0.734524 -1.784037
## [70,] -1.752653 -1.443338 -1.596248 -1.330085 1.371538 -0.712797 -1.784037
## [71,] -1.752574 -1.443338 -1.596248 -1.330085 1.515945 -0.756251 -1.784037
## [72,] -1.752495 -1.443338 -1.596248 -1.330085 1.660353 -0.734524 -1.922602
## [73,] -1.752416 -1.443338 -1.596248 -1.216262 -1.661020 -0.745388 -1.922602
## [74,] -1.752337 -1.443338 -1.596248 -1.216262 -1.516613 -0.701933 -1.922602
## [75,] -1.752258 -1.443338 -1.596248 -1.216262 -1.372205 -0.777978 -1.922602
## [76,] -1.752179 -1.443338 -1.596248 -1.216262 -1.227798 -0.799706 -1.991884
## [77,] -1.752100 -1.443338 -1.596248 -1.216262 -1.083390 -0.767115 -1.991884
## [78,] -1.752021 -1.443338 -1.596248 -1.216262 -0.938983 -0.767115 -1.991884
## [79,] -1.751942 -1.443338 -1.596248 -1.216262 -0.794575 -0.777978 -1.922602
## [80,] -1.751863 -1.443338 -1.596248 -1.216262 -0.650168 -0.777978 -1.991884
## [81,] -1.751784 -1.443338 -1.596248 -1.216262 -0.505760 -0.777978 -1.922602
## [82,] -1.751705 -1.443338 -1.596248 -1.216262 -0.361352 -0.756251 -1.922602
## [83,] -1.751626 -1.443338 -1.596248 -1.216262 -0.216945 -0.680206 -1.853319
## [84,] -1.751547 -1.443338 -1.596248 -1.216262 -0.072537 -0.745388 -1.853319
## [85,] -1.751468 -1.443338 -1.596248 -1.216262 0.071870 -0.777978 -1.853319
## [86,] -1.751389 -1.443338 -1.596248 -1.216262 0.216278 -0.647615 -1.784037
## [87,] -1.751310 -1.443338 -1.596248 -1.216262 0.360685 -0.625888 -1.645472
## [88,] -1.751231 -1.443338 -1.596248 -1.216262 0.505093 -0.712797 -1.714754
## [89,] -1.751152 -1.443338 -1.596248 -1.216262 0.649500 -0.528115 -1.784037
## [90,] -1.751073 -1.443338 -1.596248 -1.216262 0.793908 -0.462934 -1.714754
## [91,] -1.750994 -1.443338 -1.596248 -1.216262 0.938315 -0.430343 -1.714754
## [92,] -1.750915 -1.443338 -1.596248 -1.216262 1.082723 -0.419479 -1.645472
## [93,] -1.750836 -1.443338 -1.596248 -1.216262 1.227130 -0.158752 -1.645472
## [94,] -1.750757 -1.443338 -1.596248 -1.216262 1.371538 0.080247 -1.784037
## [95,] -1.750678 -1.443338 -1.596248 -1.216262 1.515945 -0.354297 -1.645472
## [96,] -1.750599 -1.443338 -1.596248 -1.216262 1.660353 -0.528115 -1.645472
## [97,] -1.750520 -1.443338 -1.596248 -1.102438 -1.661020 -0.462934 -1.853319
## [98,] -1.750441 -1.443338 -1.596248 -1.102438 -1.516613 -0.234798 -1.853319
## [99,] -1.750362 -1.443338 -1.596248 -1.102438 -1.372205 -0.528115 -1.922602
## [100,] -1.750283 -1.443338 -1.596248 -1.102438 -1.227798 -0.593297 -1.922602
## TEMP PRES Iws
## [1,] -1.347127 0.345325 -0.444939
## [2,] -1.347127 0.345325 -0.427002
## [3,] -1.429261 0.442406 -0.409064
## [4,] -1.429261 0.539486 -0.372988
## [5,] -1.429261 0.539486 -0.355051
## [6,] -1.511395 0.539486 -0.337114
## [7,] -1.511395 0.636567 -0.301038
## [8,] -1.429261 0.733647 -0.264962
## [9,] -1.511395 0.733647 -0.228886
## [10,] -1.429261 0.830728 -0.192810
## [11,] -1.429261 0.927808 -0.129727
## [12,] -1.429261 0.927808 -0.066645
## [13,] -1.429261 0.927808 -0.003562
## [14,] -1.429261 0.830728 0.077458
## [15,] -1.429261 0.830728 0.158477
## [16,] -1.429261 0.830728 0.239497
## [17,] -1.429261 0.927808 0.275573
## [18,] -1.429261 1.024889 0.311649
## [19,] -1.429261 1.024889 0.374732
## [20,] -1.429261 1.121969 0.410808
## [21,] -1.429261 1.121969 0.446884
## [22,] -1.429261 1.024889 0.509966
## [23,] -1.511395 1.121969 0.573049
## [24,] -1.511395 1.024889 0.636132
## [25,] -1.511395 1.024889 0.699214
## [26,] -1.511395 0.927808 0.762297
## [27,] -1.593529 0.927808 0.843317
## [28,] -1.593529 0.830728 0.906399
## [29,] -1.593529 0.733647 0.987419
## [30,] -1.675663 0.733647 1.068439
## [31,] -1.675663 0.733647 1.149459
## [32,] -1.757797 0.733647 1.230478
## [33,] -1.757797 0.733647 1.329637
## [34,] -1.757797 0.636567 1.410657
## [35,] -1.757797 0.636567 1.491677
## [36,] -1.757797 0.539486 1.590835
## [37,] -1.757797 0.442406 1.653918
## [38,] -1.757797 0.345325 1.771013
## [39,] -1.757797 0.345325 1.870172
## [40,] -1.757797 0.345325 1.969331
## [41,] -1.757797 0.345325 2.032413
## [42,] -1.757797 0.345325 2.095496
## [43,] -1.757797 0.442406 -0.463078
## [44,] -1.757797 0.539486 -0.445140
## [45,] -1.757797 0.539486 -0.399995
## [46,] -1.839931 0.636567 -0.336912
## [47,] -1.757797 0.636567 -0.255893
## [48,] -1.922066 0.636567 -0.192810
## [49,] -2.004200 0.636567 -0.156734
## [50,] -1.757797 0.636567 -0.039638
## [51,] -1.839931 0.733647 0.122603
## [52,] -1.922066 0.733647 0.320719
## [53,] -1.922066 0.830728 0.500897
## [54,] -2.004200 0.927808 0.644999
## [55,] -2.004200 1.024889 0.825178
## [56,] -2.086334 1.024889 1.005356
## [57,] -2.086334 1.121969 1.149459
## [58,] -2.086334 1.219050 1.347574
## [59,] -2.004200 1.316130 1.545690
## [60,] -2.004200 1.413211 1.707931
## [61,] -1.922066 1.316130 1.888109
## [62,] -1.839931 1.316130 2.086225
## [63,] -1.839931 1.316130 2.266403
## [64,] -1.757797 1.316130 2.446582
## [65,] -1.757797 1.413211 2.590684
## [66,] -1.922066 1.510291 2.734786
## [67,] -1.922066 1.510291 2.851882
## [68,] -2.004200 1.607372 2.968978
## [69,] -2.004200 1.704452 3.149156
## [70,] -2.086334 1.704452 3.293259
## [71,] -2.086334 1.801532 3.455500
## [72,] -2.250602 1.801532 3.518583
## [73,] -2.414870 1.801532 3.581665
## [74,] -2.497004 1.801532 3.662685
## [75,] -2.579138 1.801532 3.725768
## [76,] -2.497004 1.801532 3.824926
## [77,] -2.579138 1.801532 3.924085
## [78,] -2.332736 1.704452 -0.381856
## [79,] -2.332736 1.801532 -0.318774
## [80,] -2.332736 1.704452 -0.201678
## [81,] -2.332736 1.801532 -0.102519
## [82,] -2.250602 1.801532 0.014577
## [83,] -2.168468 1.801532 0.113735
## [84,] -2.086334 1.801532 0.212894
## [85,] -2.004200 1.704452 0.312052
## [86,] -1.922066 1.510291 0.348128
## [87,] -1.922066 1.510291 -0.463078
## [88,] -1.922066 1.413211 -0.444939
## [89,] -1.922066 1.413211 -0.408863
## [90,] -1.922066 1.413211 -0.372787
## [91,] -1.922066 1.510291 -0.336711
## [92,] -2.086334 1.607372 -0.273628
## [93,] -2.004200 1.607372 -0.210546
## [94,] -2.497004 1.607372 -0.147463
## [95,] -2.086334 1.704452 -0.066443
## [96,] -2.332736 1.607372 -0.003361
## [97,] -2.414870 1.607372 0.059722
## [98,] -2.168468 1.607372 -0.399995
## [99,] -2.168468 1.704452 -0.318975
## [100,] -2.168468 1.607372 -0.201879
#Calculate gap statistic based on number of cluster
gap_stat <- clusGap(df4, FUN=kmeans, nstart = 25, K.max = 10, B= 50)
#Plot number of clusters vs. gap statistic
fviz_gap_stat(gap_stat)
#perform K-Means clustering with optimal K
#Make this example reproducible
set.seed(2341)
#Perform K-means clustering with k=2 clusters
km <- kmeans(df4, centers=2,nstart=25)
km
## K-means clustering with 2 clusters of sizes 24, 76
##
## Cluster means:
## No year month day hour pm2.5 DEWP
## 1 -1.753272 -1.443338 -1.596248 -1.330085 0.2403456 -0.6236246 -1.558869
## 2 -1.754485 -1.443338 -1.596248 -1.389992 -0.1523416 -0.1558934 -1.162317
## TEMP PRES Iws
## 1 -2.031578 1.324220 2.7067217
## 2 -1.790219 1.037662 0.2057682
##
## Clustering vector:
## [1] 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## [38] 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## [75] 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
##
## Within cluster sum of squares by cluster:
## [1] 49.57878 169.37811
## (between_SS / total_SS = 36.6 %)
##
## Available components:
##
## [1] "cluster" "centers" "totss" "withinss" "tot.withinss"
## [6] "betweenss" "size" "iter" "ifault"
#Find mean of each cluster
df5 <- aggregate(df4,by=list(cluster=km$cluster),mean)
round(df5,4)
#add cluster assignment to original data
final_data <- cbind(df4,cluster = km$cluster)
final_data
## No year month day hour pm2.5 DEWP
## [1,] -1.758104 -1.443338 -1.596248 -1.557732 -1.661020 0.330110 -1.229777
## [2,] -1.758025 -1.443338 -1.596248 -1.557732 -1.516613 0.536519 -1.160494
## [3,] -1.757946 -1.443338 -1.596248 -1.557732 -1.372205 0.656019 -0.883364
## [4,] -1.757867 -1.443338 -1.596248 -1.557732 -1.227798 0.895018 -0.606234
## [5,] -1.757788 -1.443338 -1.596248 -1.557732 -1.083390 0.427883 -0.606234
## [6,] -1.757709 -1.443338 -1.596248 -1.557732 -0.938983 0.112838 -0.606234
## [7,] -1.757630 -1.443338 -1.596248 -1.557732 -0.794575 0.069384 -0.606234
## [8,] -1.757551 -1.443338 -1.596248 -1.557732 -0.650168 0.275792 -0.606234
## [9,] -1.757472 -1.443338 -1.596248 -1.557732 -0.505760 0.232338 -0.675516
## [10,] -1.757393 -1.443338 -1.596248 -1.557732 -0.361352 0.362701 -0.606234
## [11,] -1.757314 -1.443338 -1.596248 -1.557732 -0.216945 0.449610 -0.606234
## [12,] -1.757235 -1.443338 -1.596248 -1.557732 -0.072537 0.579974 -0.675516
## [13,] -1.757156 -1.443338 -1.596248 -1.557732 0.071870 0.536519 -0.675516
## [14,] -1.757077 -1.443338 -1.596248 -1.557732 0.216278 0.710337 -0.675516
## [15,] -1.756998 -1.443338 -1.596248 -1.557732 0.360685 0.645155 -0.744799
## [16,] -1.756919 -1.443338 -1.596248 -1.557732 0.505093 0.601701 -0.744799
## [17,] -1.756840 -1.443338 -1.596248 -1.557732 0.649500 0.656019 -0.744799
## [18,] -1.756761 -1.443338 -1.596248 -1.557732 0.793908 0.710337 -0.675516
## [19,] -1.756682 -1.443338 -1.596248 -1.557732 0.938315 0.775519 -0.675516
## [20,] -1.756603 -1.443338 -1.596248 -1.557732 1.082723 0.547383 -0.675516
## [21,] -1.756524 -1.443338 -1.596248 -1.557732 1.227130 0.601701 -0.606234
## [22,] -1.756445 -1.443338 -1.596248 -1.557732 1.371538 0.710337 -0.606234
## [23,] -1.756366 -1.443338 -1.596248 -1.557732 1.515945 0.623428 -0.675516
## [24,] -1.756287 -1.443338 -1.596248 -1.557732 1.660353 0.297520 -0.675516
## [25,] -1.756208 -1.443338 -1.596248 -1.443908 -1.661020 -0.093571 -0.606234
## [26,] -1.756129 -1.443338 -1.596248 -1.443908 -1.516613 -0.386888 -0.675516
## [27,] -1.756050 -1.443338 -1.596248 -1.443908 -1.372205 -0.365161 -0.675516
## [28,] -1.755971 -1.443338 -1.596248 -1.443908 -1.227798 -0.473797 -0.675516
## [29,] -1.755892 -1.443338 -1.596248 -1.443908 -1.083390 -0.365161 -0.675516
## [30,] -1.755813 -1.443338 -1.596248 -1.443908 -0.938983 -0.169616 -0.744799
## [31,] -1.755734 -1.443338 -1.596248 -1.443908 -0.794575 -0.082707 -0.814081
## [32,] -1.755655 -1.443338 -1.596248 -1.443908 -0.650168 -0.137025 -0.814081
## [33,] -1.755576 -1.443338 -1.596248 -1.443908 -0.505760 -0.180480 -0.814081
## [34,] -1.755497 -1.443338 -1.596248 -1.443908 -0.361352 -0.137025 -0.883364
## [35,] -1.755418 -1.443338 -1.596248 -1.443908 -0.216945 -0.223934 -0.883364
## [36,] -1.755339 -1.443338 -1.596248 -1.443908 -0.072537 -0.006662 -0.883364
## [37,] -1.755260 -1.443338 -1.596248 -1.443908 0.071870 0.091111 -0.883364
## [38,] -1.755181 -1.443338 -1.596248 -1.443908 0.216278 -0.093571 -0.883364
## [39,] -1.755102 -1.443338 -1.596248 -1.443908 0.360685 -0.028389 -0.883364
## [40,] -1.755023 -1.443338 -1.596248 -1.443908 0.505093 -0.039253 -0.883364
## [41,] -1.754944 -1.443338 -1.596248 -1.443908 0.649500 -0.137025 -0.883364
## [42,] -1.754865 -1.443338 -1.596248 -1.443908 0.793908 -0.310843 -0.883364
## [43,] -1.754786 -1.443338 -1.596248 -1.443908 0.938315 -0.408615 -0.883364
## [44,] -1.754707 -1.443338 -1.596248 -1.443908 1.082723 -0.495524 -0.883364
## [45,] -1.754628 -1.443338 -1.596248 -1.443908 1.227130 -0.299979 -0.814081
## [46,] -1.754549 -1.443338 -1.596248 -1.443908 1.371538 -0.289116 -0.883364
## [47,] -1.754470 -1.443338 -1.596248 -1.443908 1.515945 -0.245661 -0.883364
## [48,] -1.754391 -1.443338 -1.596248 -1.443908 1.660353 -0.278252 -0.952646
## [49,] -1.754312 -1.443338 -1.596248 -1.330085 -1.661020 -0.213070 -1.091211
## [50,] -1.754233 -1.443338 -1.596248 -1.330085 -1.516613 -0.441206 -1.229777
## [51,] -1.754154 -1.443338 -1.596248 -1.330085 -1.372205 -0.799706 -1.299059
## [52,] -1.754075 -1.443338 -1.596248 -1.330085 -1.227798 -0.788842 -1.368342
## [53,] -1.753996 -1.443338 -1.596248 -1.330085 -1.083390 -0.767115 -1.437624
## [54,] -1.753917 -1.443338 -1.596248 -1.330085 -0.938983 -0.788842 -1.506907
## [55,] -1.753838 -1.443338 -1.596248 -1.330085 -0.794575 -0.854024 -1.576189
## [56,] -1.753759 -1.443338 -1.596248 -1.330085 -0.650168 -0.756251 -1.576189
## [57,] -1.753680 -1.443338 -1.596248 -1.330085 -0.505760 -0.788842 -1.645472
## [58,] -1.753601 -1.443338 -1.596248 -1.330085 -0.361352 -0.777978 -1.645472
## [59,] -1.753522 -1.443338 -1.596248 -1.330085 -0.216945 -0.777978 -1.645472
## [60,] -1.753443 -1.443338 -1.596248 -1.330085 -0.072537 -0.799706 -1.714754
## [61,] -1.753364 -1.443338 -1.596248 -1.330085 0.071870 -0.756251 -1.576189
## [62,] -1.753285 -1.443338 -1.596248 -1.330085 0.216278 -0.723660 -1.506907
## [63,] -1.753206 -1.443338 -1.596248 -1.330085 0.360685 -0.767115 -1.576189
## [64,] -1.753127 -1.443338 -1.596248 -1.330085 0.505093 -0.756251 -1.576189
## [65,] -1.753048 -1.443338 -1.596248 -1.330085 0.649500 -0.745388 -1.576189
## [66,] -1.752969 -1.443338 -1.596248 -1.330085 0.793908 -0.745388 -1.506907
## [67,] -1.752890 -1.443338 -1.596248 -1.330085 0.938315 -0.767115 -1.714754
## [68,] -1.752811 -1.443338 -1.596248 -1.330085 1.082723 -0.788842 -1.576189
## [69,] -1.752732 -1.443338 -1.596248 -1.330085 1.227130 -0.734524 -1.784037
## [70,] -1.752653 -1.443338 -1.596248 -1.330085 1.371538 -0.712797 -1.784037
## [71,] -1.752574 -1.443338 -1.596248 -1.330085 1.515945 -0.756251 -1.784037
## [72,] -1.752495 -1.443338 -1.596248 -1.330085 1.660353 -0.734524 -1.922602
## [73,] -1.752416 -1.443338 -1.596248 -1.216262 -1.661020 -0.745388 -1.922602
## [74,] -1.752337 -1.443338 -1.596248 -1.216262 -1.516613 -0.701933 -1.922602
## [75,] -1.752258 -1.443338 -1.596248 -1.216262 -1.372205 -0.777978 -1.922602
## [76,] -1.752179 -1.443338 -1.596248 -1.216262 -1.227798 -0.799706 -1.991884
## [77,] -1.752100 -1.443338 -1.596248 -1.216262 -1.083390 -0.767115 -1.991884
## [78,] -1.752021 -1.443338 -1.596248 -1.216262 -0.938983 -0.767115 -1.991884
## [79,] -1.751942 -1.443338 -1.596248 -1.216262 -0.794575 -0.777978 -1.922602
## [80,] -1.751863 -1.443338 -1.596248 -1.216262 -0.650168 -0.777978 -1.991884
## [81,] -1.751784 -1.443338 -1.596248 -1.216262 -0.505760 -0.777978 -1.922602
## [82,] -1.751705 -1.443338 -1.596248 -1.216262 -0.361352 -0.756251 -1.922602
## [83,] -1.751626 -1.443338 -1.596248 -1.216262 -0.216945 -0.680206 -1.853319
## [84,] -1.751547 -1.443338 -1.596248 -1.216262 -0.072537 -0.745388 -1.853319
## [85,] -1.751468 -1.443338 -1.596248 -1.216262 0.071870 -0.777978 -1.853319
## [86,] -1.751389 -1.443338 -1.596248 -1.216262 0.216278 -0.647615 -1.784037
## [87,] -1.751310 -1.443338 -1.596248 -1.216262 0.360685 -0.625888 -1.645472
## [88,] -1.751231 -1.443338 -1.596248 -1.216262 0.505093 -0.712797 -1.714754
## [89,] -1.751152 -1.443338 -1.596248 -1.216262 0.649500 -0.528115 -1.784037
## [90,] -1.751073 -1.443338 -1.596248 -1.216262 0.793908 -0.462934 -1.714754
## [91,] -1.750994 -1.443338 -1.596248 -1.216262 0.938315 -0.430343 -1.714754
## [92,] -1.750915 -1.443338 -1.596248 -1.216262 1.082723 -0.419479 -1.645472
## [93,] -1.750836 -1.443338 -1.596248 -1.216262 1.227130 -0.158752 -1.645472
## [94,] -1.750757 -1.443338 -1.596248 -1.216262 1.371538 0.080247 -1.784037
## [95,] -1.750678 -1.443338 -1.596248 -1.216262 1.515945 -0.354297 -1.645472
## [96,] -1.750599 -1.443338 -1.596248 -1.216262 1.660353 -0.528115 -1.645472
## [97,] -1.750520 -1.443338 -1.596248 -1.102438 -1.661020 -0.462934 -1.853319
## [98,] -1.750441 -1.443338 -1.596248 -1.102438 -1.516613 -0.234798 -1.853319
## [99,] -1.750362 -1.443338 -1.596248 -1.102438 -1.372205 -0.528115 -1.922602
## [100,] -1.750283 -1.443338 -1.596248 -1.102438 -1.227798 -0.593297 -1.922602
## TEMP PRES Iws cluster
## [1,] -1.347127 0.345325 -0.444939 2
## [2,] -1.347127 0.345325 -0.427002 2
## [3,] -1.429261 0.442406 -0.409064 2
## [4,] -1.429261 0.539486 -0.372988 2
## [5,] -1.429261 0.539486 -0.355051 2
## [6,] -1.511395 0.539486 -0.337114 2
## [7,] -1.511395 0.636567 -0.301038 2
## [8,] -1.429261 0.733647 -0.264962 2
## [9,] -1.511395 0.733647 -0.228886 2
## [10,] -1.429261 0.830728 -0.192810 2
## [11,] -1.429261 0.927808 -0.129727 2
## [12,] -1.429261 0.927808 -0.066645 2
## [13,] -1.429261 0.927808 -0.003562 2
## [14,] -1.429261 0.830728 0.077458 2
## [15,] -1.429261 0.830728 0.158477 2
## [16,] -1.429261 0.830728 0.239497 2
## [17,] -1.429261 0.927808 0.275573 2
## [18,] -1.429261 1.024889 0.311649 2
## [19,] -1.429261 1.024889 0.374732 2
## [20,] -1.429261 1.121969 0.410808 2
## [21,] -1.429261 1.121969 0.446884 2
## [22,] -1.429261 1.024889 0.509966 2
## [23,] -1.511395 1.121969 0.573049 2
## [24,] -1.511395 1.024889 0.636132 2
## [25,] -1.511395 1.024889 0.699214 2
## [26,] -1.511395 0.927808 0.762297 2
## [27,] -1.593529 0.927808 0.843317 2
## [28,] -1.593529 0.830728 0.906399 2
## [29,] -1.593529 0.733647 0.987419 2
## [30,] -1.675663 0.733647 1.068439 2
## [31,] -1.675663 0.733647 1.149459 2
## [32,] -1.757797 0.733647 1.230478 2
## [33,] -1.757797 0.733647 1.329637 2
## [34,] -1.757797 0.636567 1.410657 2
## [35,] -1.757797 0.636567 1.491677 2
## [36,] -1.757797 0.539486 1.590835 2
## [37,] -1.757797 0.442406 1.653918 2
## [38,] -1.757797 0.345325 1.771013 1
## [39,] -1.757797 0.345325 1.870172 1
## [40,] -1.757797 0.345325 1.969331 1
## [41,] -1.757797 0.345325 2.032413 1
## [42,] -1.757797 0.345325 2.095496 1
## [43,] -1.757797 0.442406 -0.463078 2
## [44,] -1.757797 0.539486 -0.445140 2
## [45,] -1.757797 0.539486 -0.399995 2
## [46,] -1.839931 0.636567 -0.336912 2
## [47,] -1.757797 0.636567 -0.255893 2
## [48,] -1.922066 0.636567 -0.192810 2
## [49,] -2.004200 0.636567 -0.156734 2
## [50,] -1.757797 0.636567 -0.039638 2
## [51,] -1.839931 0.733647 0.122603 2
## [52,] -1.922066 0.733647 0.320719 2
## [53,] -1.922066 0.830728 0.500897 2
## [54,] -2.004200 0.927808 0.644999 2
## [55,] -2.004200 1.024889 0.825178 2
## [56,] -2.086334 1.024889 1.005356 2
## [57,] -2.086334 1.121969 1.149459 2
## [58,] -2.086334 1.219050 1.347574 2
## [59,] -2.004200 1.316130 1.545690 1
## [60,] -2.004200 1.413211 1.707931 1
## [61,] -1.922066 1.316130 1.888109 1
## [62,] -1.839931 1.316130 2.086225 1
## [63,] -1.839931 1.316130 2.266403 1
## [64,] -1.757797 1.316130 2.446582 1
## [65,] -1.757797 1.413211 2.590684 1
## [66,] -1.922066 1.510291 2.734786 1
## [67,] -1.922066 1.510291 2.851882 1
## [68,] -2.004200 1.607372 2.968978 1
## [69,] -2.004200 1.704452 3.149156 1
## [70,] -2.086334 1.704452 3.293259 1
## [71,] -2.086334 1.801532 3.455500 1
## [72,] -2.250602 1.801532 3.518583 1
## [73,] -2.414870 1.801532 3.581665 1
## [74,] -2.497004 1.801532 3.662685 1
## [75,] -2.579138 1.801532 3.725768 1
## [76,] -2.497004 1.801532 3.824926 1
## [77,] -2.579138 1.801532 3.924085 1
## [78,] -2.332736 1.704452 -0.381856 2
## [79,] -2.332736 1.801532 -0.318774 2
## [80,] -2.332736 1.704452 -0.201678 2
## [81,] -2.332736 1.801532 -0.102519 2
## [82,] -2.250602 1.801532 0.014577 2
## [83,] -2.168468 1.801532 0.113735 2
## [84,] -2.086334 1.801532 0.212894 2
## [85,] -2.004200 1.704452 0.312052 2
## [86,] -1.922066 1.510291 0.348128 2
## [87,] -1.922066 1.510291 -0.463078 2
## [88,] -1.922066 1.413211 -0.444939 2
## [89,] -1.922066 1.413211 -0.408863 2
## [90,] -1.922066 1.413211 -0.372787 2
## [91,] -1.922066 1.510291 -0.336711 2
## [92,] -2.086334 1.607372 -0.273628 2
## [93,] -2.004200 1.607372 -0.210546 2
## [94,] -2.497004 1.607372 -0.147463 2
## [95,] -2.086334 1.704452 -0.066443 2
## [96,] -2.332736 1.607372 -0.003361 2
## [97,] -2.414870 1.607372 0.059722 2
## [98,] -2.168468 1.607372 -0.399995 2
## [99,] -2.168468 1.704452 -0.318975 2
## [100,] -2.168468 1.607372 -0.201879 2