Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
3.144526987 -0.06001685076 -0.4001231611 -0.2102028967 -1.501877712 0.2539317116 0.4319650657 0.2775640954 -0.6725003436 0.07055596888 -0.01528606856 0.5057418843 -0.9750275179 0.6820133085 1.511106635 0.4178220937 0.5057376987 0.4407287653 0.8334573132 0.03862111098 -0.6875100621 -0.06177250389 -1.278536709 2.176550196 -0.2330892833 -0.2691565903 0.3171313733 0.6727613303 0.1680326246 0.6123016741 -0.3934201518 0.1971677445 0.0374788857 0.4331769931 1.938715378 -1.408661197 -1.588422733 -0.5327732432 0.5907843312 -0.2417284493 0.1803497339 0.3245985615 1.380799905 -0.9009647023 0.4733761657 0.4119137214 0.3268438613 0.4962925912 0.09253414959 -0.06077516358 0.3532430254 -1.155305405 0.991612865 1.473849233 -0.9563787348 -0.871848343 -2.197197435 -0.9589232286 -0.5591736647 -1.956021227 0.4100587655 0.7717526678 -1.106268722 -0.8260839523 -1.430658558 0.09673579433 0.9509115548 1.702024388 -1.424270625 0.488231622 -0.6988034315 0.6794556835 -0.02259062063 0.7479999909 -1.23890344 0.8360987262 -0.663459618 -0.157561439 -0.6908957299 -0.0609006182 0.03699315031 0.2845403773 1.166871686 1.69825612 1.138964012 -0.9372728844 0.9272619168 -0.7817091942 0.2804644697 0.1165570981 -0.2707241124 -1.002006024 -0.3743147346 1.359308124 1.479854064 -0.5237546484 -1.139764209 1.247435759 -0.8774467744 1.124909402 -1.766741831 -0.1030939538 -1.046901776 -0.911394186 0.6464166683 -0.2535962721 -1.018191091 0.3713550451 -0.2102380471 0.767415034 1.342901398 -0.4299011888 -1.675529831 -0.7788139624 0.7506655097 1.155095643 2.112457454 -0.03744462346 0.002515890948 -0.7028087591 0.4928690114 0.2906622073 0.5289194085 0.2419641872 -0.3945567373 0.3465295564 0.9901961729 -2.769253757 -0.2392484301 0.05752196494 0.9201969647 -0.03148187918 -1.142688072 -0.3713212468 -0.5831455147 -2.36132036 0.8455786891 -0.4190781375 -0.1203894082 1.464695634 0.2388063778 0.3361388849 -1.206282329 -0.1813839503 0.6707893748 -0.6508587643 -0.4385846291 0.8764718594 -1.4995241 -1.213503097
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