Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
0.343050499 0.774166362 0.34187505 0.434685068 0.569498067 0.745049832 0.664818335 0.491745354 0.667278118 0.456197663 0.31206624 0.150313341 0.660500391 0.674304299 0.525108306 0.51308255 0.493030606 0.96223527 0.654602417 0.301725358 0.235811813 0.797983719 0.425728146 0.678182356 0.033912633 0.37479427 0.311070619 0.014489074 0.73629192 0.154627634 0.198350646 0.329734484 0.815499803 0.858397611 0.992967547 0.697017518 0.043354972 0.089467969 0.350347015 0.86378716 0.951528751 0.111789447 0.086155727 0.197281142 0.650685251 0.121788921 0.919667556 0.572399527 0.168036739 0.3854578 0.737903889 0.48316188 0.871804745 0.2546685 0.53581571 0.469671715 0.518688756 0.678052913 0.525092158 0.747727016 0.647643118 0.933503315 0.538861938 0.398462784 0.722038724 0.594390879 0.557585564 0.357398059 0.291989202 0.816340456 0.676621864 0.617579923 0.0905406 0.390410699 0.298260818 0.992152178 0.292716425 0.307709677 0.625349693 0.81055546 0.477446498 0.278979387 0.79731028 0.019310558 0.457870657 0.742455635 0.462754065 0.590486321 0.141820181 0.878498614 0.240257329 0.471499949 0.682364515 0.305062228 0.731336252 0.626402529 0.105802856 0.922584463 0.561193022 0.464378994 0.030884558 0.030350178 0.230803208 0.440124913 0.495989168 0.648971413 0.007398129 0.280741569 0.9798021 0.033733812 0.709618243 0.963700849 0.62649525 0.47331051 0.494992922 0.108778702 0.641258804 0.302435816 0.064743203 0.011877827 0.00663915 0.489376952 0.909112677 0.211900939 0.518502396 0.715790129 0.838576803 0.860735196 0.7883934 0.215206065 0.642402262 0.216625186 0.306030977 0.942337378 0.135970825 0.235613837 0.328647686 0.547564412 0.021932516 0.326131859 0.287409996 0.445789016 0.020763101 0.306692871 0.940910357 0.211233448 0.317734711 0.611394554 0.891359657 0.592841578 0.572450518 0.340809775 0.319439576 0.244402389 0.599138441 0.687094601 0.281483178 0.466629792 0.067334801 0.75971887 0.162693079 0.611769997 0.822471856 0.471978362 0.781920679 0.331528284 0.46073103 0.605167874 0.258898085 0.26413368 0.574031872 0.301375638 0.023852555 0.0072824 0.928975376 0.962204119 0.776798515 0.026107701 0.063940836 0.142583933 0.963338937 0.739757798 0.364713328 0.083115994 0.785676522 0.786167741 0.182608067 0.014954641 0.907149794 0.373698398 0.256514664 0.396419184 0.363561691 0.906318959 0.957875044 0.189743248 0.117458548 0.524251815 0.102907114 0.636948552 0.498924884 0.075598365 0.999738776 0.072440974 0.815164088 0.910536255 0.573578132 0.178289914 0.265247628 0.536169163 0.140955619 0.979493278 0.917129815 0.298632619 0.438467902 0.578928053 0.695586464 0.281164749 0.021983628 0.902957113 0.749591446 0.992210292 0.139414667 0.276282917 0.219648323 0.662743602 0.065596241 0.399665153 0.374742207 0.699697389 0.395681489 0.430061071 0.898265956 0.339802745 0.619200544 0.974080632 0.456688428 0.322739149 0.75038701 0.168353373 0.150079598 0.760754769 0.67557548 0.462104873 0.000939152 0.152529042 0.075529403 0.351149908 0.42019624 0.531630197 0.748940186 0.349087936 0.749437453 0.387076124 0.037466379 0.652637563 0.602230954 0.473475461 0.258357248 0.376947893 0.017171196 0.415908658 0.980170151 0.791603558 0.900884439 0.362606241 0.606836518 0.863682743 0.235123613 0.056035321 0.46826546 0.991466852 0.6052761 0.090162588 0.947044922 0.841380197 0.738489734 0.868549494 0.142172919 0.192367628 0.547318355 0.732428144 0.292733216 0.180548937 0.868767638 0.430288423 0.184927127 0.283337987 0.557627073 0.582738231 0.743126789 0.820710463 0.440496619 0.556183819 0.898691462 0.360225281 0.077674592 0.110608208 0.040352282 0.157200736 0.706721902 0.223847761 0.386072634 0.599810008 0.997963749 0.218805734 0.800563245 0.986873273 0.39520161 0.880214943 0.541581113 0.372033661 0.216050602 0.222829641 0.233594324 0.789659612 0.824059089 0.754933134 0.152413291 0.531022879 0.236801134 0.344616008 0.488858914 0.350772181 0.279719918 0.570362392 0.975275266 0.051695186 0.043433859 0.185410314 0.113862371 0.603549994 0.003950566 0.490930803 0.792148136 0.559448897 0.322860487 0.233888448 0.318763985 0.42280058 0.563906399 0.712501933 0.906819489 0.01169655 0.840668951 0.684206427 0.772786062 0.790204929 0.388488425 0.592254515 0.185974727 0.207538971 0.745628033 0.631764564 0.382306355 0.0015257 0.080521547 0.400272957 0.759646121 0.364892585 0.425602032 0.88493783 0.750822432 0.624163414 0.941328426 0.582611599 0.592696899 0.428033179 0.069428778 0.544389791 0.499089467 0.424468201 0.789436122 0.723285683 0.969586401 0.27049671 0.038054456 0.436578175 0.538657254 0.17822808 0.446094728 0.051795771 0.392141778 0.266193087 0.315706654 0.056867068 0.825384062 0.776598778 0.855481022 0.07787719 0.907855135 0.821693403 0.777967724 0.219301448 0.915780858 0.404923446 0.088186674 0.24645124 0.503577338 0.096418055 0.989499505 0.606809893 0.635849367 0.597927387 0.804757153 0.674541317 0.01798816 0.620746186 0.647220488 0.268677435 0.058622715 0.920490524 0.103758754 0.152623313 0.156694784 0.394610071 0.557961787 0.22626795 0.010764298 0.660223095 0.057902835 0.135380884 0.299471555 0.572670341 0.549784511 0.716170532 0.439564934 0.397048882 0.089662892 0.569636002 0.729173171 0.35295967 0.630692716 0.261926899 0.533464826 0.4980757 0.61499066 0.013606197 0.389988225 0.419533958 0.898244159 0.939406913 0.724749408 0.798072357 0.834957394 0.390833474 0.742942342 0.693137011 0.065436341 0.462410966 0.83286664 0.636087522 0.10422758 0.160625514 0.269411225 0.204352675 0.634103698 0.735280514 0.529911632 0.4524234 0.906026271 0.2838876 0.84913076 0.268404536 0.360353129 0.7967909 0.946207132 0.325830069 0.705773997 0.644173474 0.701190734 0.791430559 0.639163957 0.782594689 0.611281922 0.209420304 0.633096298 0.091107746 0.933940413 0.872552843 0.269166283 0.627181849 0.690134232 0.057233036 0.786660312 0.326780467 0.046480364 0.017580389 0.292524397 0.218804726 0.579304162 0.83141992 0.824807598 0.208950906 0.445569859 0.638137058 0.143484851 0.272078156 0.842330483 0.148554227 0.928858218 0.443788201 0.226736651 0.949499858 0.200729886 0.624001043 0.129747153 0.402349322 0.732954749 0.698833792 0.389336011 0.198036259 0.430234338 0.821293983 0.820682865 0.498956211 0.060575832 0.229977522 0.536075457 0.879925971 0.725196497 0.557641404 0.72709166 0.384652874 0.941542285 0.789968173 0.496167337 0.576347016 0.982906134 0.338618712 0.319669788 0.336979711 0.871192627 0.852763378 0.727080126 0.217542058 0.089871481 0.137194022 0.842670641 0.704550037 0.177878054 0.933506707 0.077433884 0.565081674 0.705046279 0.947113811 0.656285995 0.91832697 0.059804285 0.806162865 0.709366884 0.122755197 0.887956556 0.43050246 0.07126733 0.909661633 0.390814469 0.584913269 0.068392961 0.795741833 0.197183745 0.167486746 0.819758303 0.652722201 0.165323625 0.758657729 0.134505831 0.046908543 0.924960596 0.043907686 0.039248228 0.30400146 0.806335128 0.923629286 0.779394225 0.878334296 0.827505768 0.444312233 0.725589909 0.50729373 0.485174428 0.517324817 0.062431372 0.235493489 0.536135423 0.556468516 0.831873867 0.174272053 0.988589086 0.721022203 0.615694182 0.162122043 0.470937597 0.151990038 0.29937195 0.451407316 0.739290703 0.931865873 0.358920013 0.701547936 0.788823855 0.444053495 0.017587949 0.161393376 0.977535424 0.613465245 0.524065851 0.843930095 0.669784801 0.419646867 0.251252212 0.700945108 0.805747763 0.133957828 0.046021149 0.175901114 0.565201796 0.601035825 0.329144222 0.92688845 0.513219581 0.358862697 0.302201611 0.301943863 0.864302235 0.339232616 0.938330121 0.668719721 0.212701392 0.999295312 0.870904951 0.030780331 0.306439585 0.182048599 0.842988647 0.541018492 0.983751961 0.785071682 0.532116185 0.140381798 0.542168217 0.963784813 0.412397304 0.462633485 0.397210683 0.977483023 0.164066936 0.109856637 0.415456586 0.07222516 0.913438324 0.208299547 0.31701844 0.975011863 0.658843331 0.271027303 0.545483832 0.951347056 0.230662075 0.917751387 0.739385027 0.493580029 0.448315561 0.989027643 0.983334106 0.028938763 0.5648901 0.35937629 0.903820538 0.931071196 0.092113833 0.245236735 0.023212347 0.655912619 0.783903062 0.550615359 0.357912499 0.409196139 0.338359321 0.321250729 0.402247688 0.711284902 0.958006514 0.038733549 0.087461659 0.105422909 0.701162935 0.295509732 0.008701472 0.429990332 0.044833307 0.678433464 0.758938401 0.195451508 0.840138124 0.476562267 0.612144874 0.578624936 0.366597957 0.07885565 0.640885905 0.033719593 0.832838925 0.083682635 0.162040447 0.676760256 0.426262263 0.178443343 0.389010585 0.868775439 0.374530776 0.560295217 0.883678606 0.089843646 0.971810469 0.71586982 0.272125519 0.314969894 0.638422045 0.776167697 0.347279226 0.248566298 0.652791073 0.455034573 0.561377929 0.572624071 0.949362613 0.318305766 0.016805696 0.590373909 0.74339012 0.071447992 0.855791122 0.836188269 0.201833344 0.60024288 0.493553313 0.145028551 0.253937363 0.091533344 0.384131642 0.155856245 0.222672825 0.809797069 0.5629598 0.831811897 0.604004453 0.304098464 0.332926823 0.416846471 0.195417037 0.108020763 0.163313328 0.63737164 0.884930008 0.324491075 0.838532754 0.603645538 0.723878053 0.974775321 0.627147039 0.309078271 0.69224335 0.284542705 0.58334255 0.763758543 0.408490161 0.768170459 0.705614962 0.555410114 0.545742915 0.109232683 0.839391905 0.573768518 0.804693246 0.441722529 0.308538154 0.225890139 0.048712798 0.150167349 0.44314256 0.890394693 0.049279904 0.2888175 0.923186156 0.571457875 0.658848608 0.079269293 0.096518084 0.092173935 0.307536925 0.166598289 0.085332273 0.95505977 0.052480564 0.947373922 0.515202719 0.766724774 0.565812731 0.008913958 0.224902352 0.736316821 0.52823992 0.657239632 0.674834625 0.4774942 0.478817059 0.374666012 0.241121479 0.278099064 0.004645321 0.489931859 0.14122065 0.656473657 0.331817988 0.916813465 0.24714146 0.463020413 0.927076536 0.822590182 0.189996064 0.481119778 0.953633314 0.187984737 0.049347951 0.586150406 0.848460513 0.877459184 0.730856506 0.128117646 0.409264129 0.645586132 0.979487054 0.985709596 0.903673058 0.184951496 0.216372808 0.430788033 0.019579645 0.181561601 0.528169139 0.373408446 0.838650477 0.42315027 0.899285833 0.793803881 0.543620089 0.760119708 0.229544522 0.90052043 0.72148318 0.485327909 0.109853123 0.468480004 0.578344704 0.95220658 0.022346302 0.746460018 0.232776764 0.502847921 0.349019104 0.273072839 0.726455354 0.56830709 0.040020682 0.928884846 0.512598832 0.93130657 0.27293948 0.432443131 0.008918346 0.489483428 0.047575193 0.458032384 0.652224776 0.837381899 0.972025042 0.09961364 0.383478243 0.48936369 0.273538813 0.992463732 0.378596424 0.390827254 0.714483539 0.113755115 0.289566287 0.951242729 0.011997795 0.381295085 0.926036135 0.176008826 0.980748231 0.303070532 0.534226888 0.672414636 0.22338932 0.011181223 0.461363561 0.437413817 0.700144155 0.893203585 0.850472 0.670265384 0.570526126 0.789401378 0.80345086 0.65770912 0.308988361 0.074238556 0.933183042 0.286180624 0.164312085 0.143332716 0.760550763 0.624590595 0.467733447 0.141892998 0.806272556 0.596851138 0.860561864 0.996766937 0.777069537 0.332121739 0.46183814 0.749138633 0.527620146 0.983341062 0.771666448 0.535323484 0.20254493 0.636034525 0.060577406 0.274060501 0.922372639 0.652182767 0.236676808 0.795291643 0.527080753 0.489442184 0.911391934 0.020169824 0.780615457 0.861130113 0.784427984 0.776521802 0.590955226 0.903604062 0.433614064 0.831890036 0.939461297 0.968580522 0.577847874 0.716953759 0.969120922 0.739789101 0.272862197 0.966922997 0.997074116 0.991289413 0.683405619 0.788216071 0.828729962 0.477799838 0.326711943 0.176801049 0.804175019 0.14288281 0.014617379 0.855118441 0.212108941 0.05019932 0.845298941 0.680588935 0.47121904 0.219239557 0.292918845 0.111447185 0.671897066 0.715251391 0.950418882 0.062465093 0.029629035 0.413326779 0.451492581 0.693676728 0.471033541 0.007275388 0.14269256 0.063306222 0.394467611 0.804224932 0.593926721 0.182518974 0.520729307 0.818023774 0.603971168 0.243142154 0.130972259 0.489650907
Sample Range:
(leave blank to include all observations)
From:
To:
Color code
(?)
Number of bins
(?)
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
library(MASS) library(car) par1 <- as.numeric(par1) if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2) x <- as.ts(x) #otherwise the fitdistr function does not work properly r <- fitdistr(x,'normal') r bitmap(file='test1.png') myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F) curve(1/(r$estimate[2]*sqrt(2*pi))*exp(-1/2*((x-r$estimate[1])/r$estimate[2])^2),min(x),max(x),add=T) dev.off() bitmap(file='test3.png') qqPlot(x,dist='norm',main='QQ plot (Normal) with confidence intervals') grid() dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Parameter',1,TRUE) a<-table.element(a,'Estimated Value',1,TRUE) a<-table.element(a,'Standard Deviation',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean',header=TRUE) a<-table.element(a,r$estimate[1]) a<-table.element(a,r$sd[1]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'standard deviation',header=TRUE) a<-table.element(a,r$estimate[2]) a<-table.element(a,r$sd[2]) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation