/
monday_dec16am
2087 lines (1972 loc) · 129 KB
/
monday_dec16am
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R version 3.6.1 (2019-07-05) -- "Action of the Toes"
Copyright (C) 2019 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
Natural language support but running in an English locale
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
[Previously saved workspace restored]
> pava
Error: object 'pava' not found
> install.packages("Iso", repos='http://cran.us.r-project.org')
Installing package into ‘C:/Users/bruce/Documents/R/win-library/3.6’
(as ‘lib’ is unspecified)
trying URL 'http://cran.us.r-project.org/bin/windows/contrib/3.6/Iso_0.0-18.zip'
Content type 'application/zip' length 324496 bytes (316 KB)
downloaded 316 KB
package ‘Iso’ successfully unpacked and MD5 sums checked
Warning: cannot remove prior installation of package ‘Iso’
Warning: restored ‘Iso’
The downloaded binary packages are in
C:\Users\bruce\AppData\Local\Temp\RtmpIVME8x\downloaded_packages
Warning message:
In file.copy(savedcopy, lib, recursive = TRUE) :
problem copying C:\Users\bruce\Documents\R\win-library\3.6\00LOCK\Iso\libs\x64\Iso.dll to C:\Users\bruce\Documents\R\win-library\3.6\Iso\libs\x64\Iso.dll: Permission denied
> library(Iso)
Iso 0.0-18
>
> # Generate pseudo-random numbers in normal distribution
> size<-1500
> x<-rnorm(size)
> y<-sort(x,decreasing=FALSE)
> hist(y)
> plot(y)
>
> # Run the raw density function on x
> # Output the g vector
> n<-size
> g=c()
> g[1]<-x[1]
> prev<-x[1] # the j-1 variable
> curr<-x[2] # the j variable
> for (j in 2:size) {
+ curr<-x[j]
+ g[j]=1/(n*(curr-prev))
+ prev<-x[j]
+ }
> plot(g)
> gsort<-sort(g,decreasing=FALSE)
> plot(gsort)
>
> # Run the pool adjacent violators algorithm
> h<-pava(g)
> plot(h)
> plot(g)
> plot(h)
>
> library(Iso)
>
> # Generate pseudo-random numbers in normal distribution
> size<-1500
> x<-rnorm(size)
> y<-sort(x,decreasing=FALSE)
> hist(y)
> plot(y)
>
> # Run the raw density function on x
> # Output the g vector
> n<-size
> g=c()
> g[1]<-0
> prev<-0 # the j-1 variable
> curr<-0 # the j variable
> for (j in 2:size) {
+ curr<-x[j]
+ g[j]=1/(n*(curr-prev))
+ prev<-x[j]
+ }
> plot(g)
> gsort<-sort(g,decreasing=FALSE)
> plot(gsort)
>
> # Run the pool adjacent violators algorithm
> h<-pava(g)
> plot(h)
> plot(g)
> set.seed(12345)
> library(Iso)
>
> # Generate pseudo-random numbers in normal distribution
> size<-1500
> x<-rnorm(size)
> y<-sort(x,decreasing=FALSE)
> hist(y)
> plot(y)
>
> # Run the raw density function on x
> # Output the g vector
> n<-size
> g=c()
> g[1]<-0
> prev<-0 # the j-1 variable
> curr<-0 # the j variable
> for (j in 2:size) {
+ curr<-x[j]
+ g[j]=1/(n*(curr-prev))
+ prev<-x[j]
+ }
> plot(g)
> gsort<-sort(g,decreasing=FALSE)
> plot(gsort)
>
> # Run the pool adjacent violators algorithm
> h<-pava(g)
> plot(h)
> set.seed(123)
> library(Iso)
>
> # Generate pseudo-random numbers in normal distribution
> size<-1500
> x<-rnorm(size)
> y<-sort(x,decreasing=FALSE)
> hist(y)
> plot(y)
>
> # Run the raw density function on x
> # Output the g vector
> n<-size
> g=c()
> g[1]<-0
> prev<-0 # the j-1 variable
> curr<-0 # the j variable
> for (j in 2:size) {
+ curr<-x[j]
+ g[j]=1/(n*(curr-prev))
+ prev<-x[j]
+ }
> plot(g)
> gsort<-sort(g,decreasing=FALSE)
> plot(gsort)
>
> # Run the pool adjacent violators algorithm
> h<-pava(g)
> plot(h)
> library(Iso)
>
> # Generate pseudo-random numbers in normal distribution
> set.seed(123)
> size<-1500
> x<-rnorm(size)
> y<-sort(x,decreasing=FALSE)
> hist(y)
> plot(y)
>
> # Run the raw density function on x
> # Output the g vector
> n<-size
> g=c()
> prev<-x[1] # the j-1 variable
> curr<-0.1 # the j variable this should be overwritten in loop
> # The loop requires two elements in x and results in a vector of length size-1 or 1499 elements
> for (j in 2:size) {
+ curr<-x[j]
+ g[j-1]=1/(n*(curr-prev))
+ prev<-x[j]
+ }
>
> plot(g)
> gsort<-sort(g,decreasing=FALSE)
> plot(gsort)
>
> # Run the pool adjacent violators algorithm
> h<-pava(g)
> plot(h)
> length(g)
[1] 1499
> h[1499]
[1] 0.008827237
> h[1500]
[1] NA
> h[750:800]
[1] 0.004790172 0.004790172 0.004790172 0.004790172 0.004790172 0.004790172
[7] 0.004790172 0.004790172 0.004790172 0.004790172 0.004790172 0.008695829
[13] 0.008827237 0.008827237 0.008827237 0.008827237 0.008827237 0.008827237
[19] 0.008827237 0.008827237 0.008827237 0.008827237 0.008827237 0.008827237
[25] 0.008827237 0.008827237 0.008827237 0.008827237 0.008827237 0.008827237
[31] 0.008827237 0.008827237 0.008827237 0.008827237 0.008827237 0.008827237
[37] 0.008827237 0.008827237 0.008827237 0.008827237 0.008827237 0.008827237
[43] 0.008827237 0.008827237 0.008827237 0.008827237 0.008827237 0.008827237
[49] 0.008827237 0.008827237 0.008827237
> #crossovr to "mode" is at 762 as this is where it begins decreasing
> #shown in graph as the last solid line till the end as this is looking
> #for a isotonic increasing distribution which when it passes the mode
> #it is decreasing so this will all average to one value after mode using
> #pava
> #Using a "Tim Roberts approach" I can do analysis using this point
> #I will be using the strategy proposed by Wegman in presentation ...
> #This involves setting the mode at the right most point in the ordered set
> #and performing ordered regression and then doing the same with the mode
> #as the first point. The overlapping area will contain the mode as proven
> #by Wegman. The MLE calculations using fhat and finding the least negatrive
> #value will provide the MLE using a a fraction of the full set of points
> #for this expensive operation
> left<-ufit(g,x=y,lmode=-3.715927,lc=TRUE)
> plot(left)
Error in xy.coords(x, y, xlabel, ylabel, log) :
'x' and 'y' lengths differ
> left<-ufit(g,x=y[1:1499],lmode=-3.715927,lc=TRUE)
> plot(left)
> right<-ufit(g,x=y[1:1499],lmode=
+
+ ;
Error: unexpected ';' in:
"
;"
> max(x)
[1] 3.390371
> y[1500]
[1] 3.390371
> right<-ufit(g,x=y[1:1499],lmode=3.390371,rc=TRUE)
> plot(right)
> left[700:800]
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>
> left
$x
[1] -2.8097746790 -2.6953293691 -2.6609227985 -2.6431489520 -2.6016996703
[6] -2.5493427748 -2.5079178022 -2.4658981938 -2.3774069254 -2.3137357739
[11] -2.3091688756 -2.2490510903 -2.2249876965 -2.2106331106 -2.1989232542
[16] -2.1741246492 -2.1684177473 -2.1645470853 -2.1576463350 -2.1112083733
[21] -2.0784892689 -2.0707510705 -2.0532472215 -2.0523369839 -2.0522228204
[26] -2.0376824944 -2.0186886591 -2.0142104979 -2.0054578182 -1.9940787873
[31] -1.9927484887 -1.9925857712 -1.9915381760 -1.9686615567 -1.9666171566
[36] -1.9617075989 -1.9582051747 -1.9436509013 -1.9429564136 -1.9415183760
[41] -1.9385047015 -1.9344440707 -1.9251452518 -1.8863251587 -1.8636669825
[46] -1.8602275742 -1.8555716539 -1.8526168242 -1.8516917296 -1.8484727753
[51] -1.8248975842 -1.7981325564 -1.7902812373 -1.7799772880 -1.7786591487
[56] -1.7565273956 -1.7532373591 -1.7510675194 -1.7483722800 -1.7410220173
[61] -1.7283045153 -1.7271210366 -1.7267303991 -1.7029648351 -1.7015798027
[66] -1.6921015209 -1.6918624149 -1.6885424746 -1.6866933107 -1.6859164545
[71] -1.6711270586 -1.6679419366 -1.6679280458 -1.6674750976 -1.6510488957
[76] -1.6505465434 -1.6484948184 -1.6363792681 -1.6218582591 -1.6178827083
[81] -1.6177737654 -1.6140394566 -1.6015361736 -1.5890896941 -1.5846166446
[86] -1.5721441591 -1.5684246208 -1.5652817650 -1.5487528042 -1.5477765436
[91] -1.5404424053 -1.5329020029 -1.5293105312 -1.5196539949 -1.5160676232
[96] -1.5146676538 -1.5091665373 -1.5077573175 -1.4986982545 -1.4958268140
[101] -1.4879261874 -1.4617555850 -1.4606400709 -1.4589707285 -1.4588494144
[106] -1.4564659171 -1.4508243135 -1.4438931610 -1.4434928889 -1.4420346464
[111] -1.4385066449 -1.4368434437 -1.4335621799 -1.4211084475 -1.4205655047
[116] -1.4202194917 -1.4152819198 -1.4120257927 -1.4007874340 -1.3952743498
[121] -1.3894835240 -1.3880490476 -1.3648316972 -1.3647094580 -1.3640374521
[126] -1.3598407038 -1.3580790594 -1.3538343357 -1.3511003857 -1.3509026860
[131] -1.3422431253 -1.3387742872 -1.3277554756 -1.3229511128 -1.3199965265
[136] -1.3193853133 -1.3191257242 -1.3182207275 -1.3170161323 -1.3165104017
[141] -1.3134509165 -1.3108015333 -1.2887162354 -1.2870304760 -1.2847157223
[146] -1.2653963516 -1.2650612346 -1.2621945494 -1.2619004629 -1.2606828788
[151] -1.2601552448 -1.2586486281 -1.2512713616 -1.2410444968 -1.2362731189
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[1356] 1.2954257908 1.2990499667 1.3001986777 1.3011759922 1.3052615363
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[1366] 1.3355176151 1.3416402950 1.3426239200 1.3606524485 1.3646727815
[1371] 1.3681326480 1.3686022840 1.3693516880 1.3700039940 1.3730520450
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[1386] 1.4304023412 1.4330075108 1.4397612584 1.4414617561 1.4445508584
[1391] 1.4456622411 1.4528172823 1.4599659447 1.4819340159 1.4824027185
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[1401] 1.5039006090 1.5123954268 1.5164706044 1.5164906017 1.5192177114
[1406] 1.5326106262 1.5384301989 1.5466091542 1.5475810590 1.5587083141
[1411] 1.5753077068 1.5791455618 1.5804318370 1.5933699514 1.5985087711
[1416] 1.6155453232 1.6236212077 1.6268812142 1.6335684214 1.6390519088
[1421] 1.6408461660 1.6509074673 1.6519153916 1.6535472347 1.6551758157
[1426] 1.6659909000 1.6710548289 1.6756969324 1.6844357081 1.6875894829
[1431] 1.7123049773 1.7150649869 1.7242622392 1.7386337669 1.7492473631
[1436] 1.7517571498 1.7699041099 1.7732386319 1.7791026669 1.7795029098
[1441] 1.7869131368 1.8221888218 1.8285304581 1.8432662546 1.8438620052
[1446] 1.8505717036 1.8599108615 1.8668518447 1.8778640211 1.9001363349
[1451] 1.9022097714 1.9023618217 1.9050435849 1.9091035692 1.9458512177
[1456] 1.9507210064 1.9536678799 1.9552939655 1.9662480155 1.9754190540
[1461] 1.9972133847 2.0024827303 2.0055732743 2.0066806908 2.0375740182
[1466] 2.0500846856 2.0647042841 2.0867174345 2.1001089405 2.1284518990
[1471] 2.1614158463 2.1689559653 2.1873329930 2.1935900691 2.1988103489
[1476] 2.2144653193 2.2841164803 2.2930789738 2.2996193612 2.3050619820
[1481] 2.3208602240 2.3747347151 2.3829266952 2.3974524800 2.4162073731
[1486] 2.4167733538 2.4244891412 2.4302266523 2.4580604919 2.4879978772
[1491] 2.5530261135 2.5714581459 2.5754497637 2.6848589992 2.6917140032
[1496] 2.7973911470 2.8322260239 3.1840444741 3.2410399349
$y
[1] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[6] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[11] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[16] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[21] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[26] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[31] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[36] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[41] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[46] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[51] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[56] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[61] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[66] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[71] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[76] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[81] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[86] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
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[101] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[106] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[111] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[116] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[121] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[126] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[131] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[136] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[141] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[146] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[151] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[156] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[161] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[166] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[171] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[176] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[181] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[186] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[191] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[196] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[201] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[206] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[211] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[216] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[221] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[226] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[231] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[236] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[241] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[246] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[251] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[256] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[261] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
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[271] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[276] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
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[286] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
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[296] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[301] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[306] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[311] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[316] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[321] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[326] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[331] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[336] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[341] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[346] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[351] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[356] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
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[366] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
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[381] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
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[441] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[446] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
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[456] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[461] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[466] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[471] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[476] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
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[486] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[491] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
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[501] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[506] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[511] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[516] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[521] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[526] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[531] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[536] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[541] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[546] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[551] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[556] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
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[566] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[571] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[576] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[581] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
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[601] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
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[611] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[616] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[621] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
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[631] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
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[641] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[646] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[651] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[656] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[661] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[666] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[671] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[676] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[681] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[686] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[691] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[696] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
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[706] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[711] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[716] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[721] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[726] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[731] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[736] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[741] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[746] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[751] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[756] 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03 7.320673e-03
[761] 7.320673e-03 7.320673e-03 2.094044e-03 2.094044e-03 2.094044e-03
[766] 2.094044e-03 2.094044e-03 2.094044e-03 2.094044e-03 2.094044e-03
[771] 2.094044e-03 2.094044e-03 2.094044e-03 2.094044e-03 2.094044e-03
[776] 2.094044e-03 2.094044e-03 2.094044e-03 2.094044e-03 2.094044e-03