Referentiewisselkoersen - Sam De Cock

R Software Module: rwasp_smp.wasp (opens new window with default values)

Title produced by software: Standard Deviation-Mean Plot

Date of computation: Sun, 11 May 2008 14:55:13 -0600

Cite this page as follows:

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/May/11/t1210539350jkj9th9qdx83ikb.htm/, Retrieved Sun, 11 May 2008 22:55:50 +0200

User-defined keywords:

Dataseries X:

» Textbox « » Textfile « » CSV «

1,327 1,3231 1,3106 1,3084 1,3006 1,3018 1,2988 1,2984 1,2893 1,2941 1,2953 1,2909 1,2922 1,2958 1,2936 1,304 1,3005 1,2978 1,2901 1,2921 1,2972 1,2954 1,302 1,302 1,2925 1,2955 1,2987 1,2991 1,3007 1,2956 1,3022 1,3082 1,3137 1,3119 1,3132 1,3145 1,3145 1,3106 1,3134 1,316 1,323 1,3211 1,3225 1,3163 1,3083 1,31 1,3135 1,3152 1,3155 1,3156 1,3218 1,3183 1,3226 1,3325 1,3303 1,3296 1,3293 1,3351 1,3327 1,3265 1,3347 1,3348 1,3352 1,3318 1,3366 1,3358 1,3352 1,3373 1,3426 1,3418 1,3467 1,3532 1,355 1,3549 1,3577 1,3601 1,3606 1,3557 1,3582 1,3649 1,3596 1,3643 1,3605 1,3588 1,3613 1,3561 1,3615 1,3558 1,3535 1,3527 1,3486 1,3549 1,3538 1,3574 1,3516 1,3477 1,3444 1,3454 1,349 1,3448 1,3441 1,3453 1,3509 1,342 1,3453 1,3436 1,3482 1,3532 1,3513 1,347 1,3349 1,3355 1,3345 1,3287 1,3304 1,3314 1,3404 1,3403 1,3427 1,3397 1,3441 1,3461 1,346 1,3438 1,3467 1,3505 1,3588 1,3601 1,3618 1,364 1,3596 1,3621 1,3666 1,3753 1,3788 1,3782 1,3781 1,3771 1,3779 1,382 1,3803 1,3821 1,3833 1,3743 1,3722 1,3651 1,3659 1,3707 1,3663 1,3664 1,3694 1,3818 1,3794 1,3794 1,3729 1,365 1,3651 1,3591 1,3476 1,3405 1,3454 1,3476 1,3508 1,3493 1,3574 1,3615 1,3658 1,3664 1,3631 1,361 1,3705 1,3632 1,358 1,3588 1,3669 1,3696 1,3795 1,3824 1,3885 1,3897 1,386 1,3877 1,3867 1,3975 1,403 1,4049 1,4113 1,4106 1,4127 1,418 1,4179 1,4232 1,4165 1,4195 1,4109 1,4136 1,4089 1,4037 1,4146 1,4199 1,4173 1,4226 1,415 1,42 1,4299 1,4288 1,4166 1,4254 1,423 1,4309 1,4384 1,4391 1,4407 1,4447 1,4423 1,4479 1,4488 1,4547 1,4722 1,4666 1,4683 1,4579 1,4607 1,47 1,4639 1,4651 1,4654 1,4785 1,4814 1,4829 1,4809 1,4845 1,4874 1,4747 1,4738 1,4761 1,4666 1,4741 1,472 1,4554 1,4649 1,4718 1,4672 1,4675 1,4683 1,4509 1,4393 1,4416 1,4385 1,4349 1,438 1,4398 1,4516 1,4692 1,4721

Text written by user:

Output produced by software:

Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 3 seconds R Server 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 Standard Deviation-Mean Plot Section Mean Standard Deviation Range 1 1.317275 0.00916201397073807 0.0185999999999999 2 1.2999 0.00158745078663879 0.00340000000000007 3 1.2924 0.00277848879788998 0.006 4 1.2964 0.00527888877195444 0.0118000000000000 5 1.295125 0.00484587453407534 0.0104000000000000 6 1.29915 0.00337194306001748 0.00659999999999994 7 1.29645 0.00308706980808659 0.00659999999999994 8 1.301675 0.00518676199569633 0.0125999999999999 9 1.313325 0.00109048918686369 0.00259999999999994 10 1.313625 0.00228089894559144 0.00540000000000007 11 1.320725 0.00305764070267690 0.00669999999999993 12 1.31175 0.00315858618161136 0.0068999999999999 13 1.3178 0.00296535551550461 0.0063000000000002 14 1.32875 0.00428213342466891 0.00990000000000002 15 1.3309 0.0037771241264574 0.00859999999999994 16 1.334125 0.00156498136304126 0.00339999999999985 17 1.336225 0.000917877987534273 0.00209999999999999 18 1.346075 0.00521240507507486 0.0113999999999999 19 1.356925 0.00248243831746132 0.00520000000000009 20 1.35985 0.00391620564662619 0.0092000000000001 21 1.3608 0.00243447461820140 0.00550000000000006 22 1.358675 0.00314999999999998 0.00570000000000004 23 1.352425 0.00270724337041695 0.00629999999999997 24 1.352625 0.00406150628872263 0.00970000000000004 25 1.3459 0.00210713075057053 0.00459999999999994 26 1.345575 0.00380295937396125 0.0088999999999999 27 1.347575 0.00420347078813055 0.00960000000000005 28 1.342175 0.0082467670433126 0.0164000000000000 29 1.33125 0.00243652758380994 0.00580000000000003 30 1.340775 0.00132003787824443 0.00300000000000011 31 1.345 0.00121928941054479 0.00229999999999997 32 1.354025 0.00647527348199803 0.0134000000000001 33 1.361875 0.00180254449783270 0.00440000000000018 34 1.374725 0.00562812875948422 0.0122 35 1.378775 0.00219298122806978 0.0048999999999999 36 1.38 0.00399499687108761 0.0089999999999999 37 1.368475 0.00350463978177508 0.0071000000000001 38 1.370975 0.00735861173501264 0.0154999999999998 39 1.374175 0.00684123526857539 0.0144000000000000 40 1.353075 0.0110906492145410 0.0246000000000000 41 1.348275 0.00232002155162407 0.00540000000000007 42 1.362775 0.00419553333915966 0.00900000000000012 43 1.36445 0.00415892614344941 0.00950000000000006 44 1.363325 0.00580193933094783 0.0115999999999998 45 1.385025 0.00487673046210266 0.0102000000000000 46 1.389475 0.00539529115680208 0.0115000000000001 47 1.40745 0.00412512626069393 0.00829999999999997 48 1.41795 0.00428680144941033 0.0105000000000000 49 1.415125 0.00370618851832085 0.00859999999999994 50 1.411775 0.00701112211656118 0.0162 51 1.418725 0.00329380732081686 0.00760000000000005 52 1.425175 0.006029027008288 0.0132999999999999 53 1.43285 0.00754298791372929 0.0161 54 1.4439 0.00313262403319217 0.00719999999999987 55 1.460575 0.0107177034231530 0.0233999999999999 56 1.464225 0.00584201734563209 0.0121 57 1.468225 0.00688058863760938 0.0145999999999999 58 1.482425 0.00162352497157670 0.00359999999999983 59 1.478 0.00633771778061056 0.0136000000000001 60 1.467025 0.00836913974073797 0.0186999999999999 61 1.46785 0.00287807806241129 0.0068999999999999 62 1.450025 0.0131750711573031 0.0289999999999999 63 1.4378 0.00207685659912597 0.0048999999999999 Regression: S.E.(k) = alpha + beta * Mean(k) alpha -0.0187013094929634 beta 0.0168835822350529 S.D. 0.00580115427991047 T-STAT 2.91038324795482 p-value 0.00503300846337504 Regression: ln S.E.(k) = alpha + beta * ln Mean(k) alpha -7.14391792948849 beta 4.98046988493984 S.D. 1.85188030910744 T-STAT 2.6894124098875 p-value 0.00921851489043492 Lambda -3.98046988493984

Charts produced by software:

http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/11/t1210539350jkj9th9qdx83ikb/1fjzy1210539307.png (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/11/t1210539350jkj9th9qdx83ikb/1fjzy1210539307.ps (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/11/t1210539350jkj9th9qdx83ikb/2y9fn1210539307.png (open in new window) http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/May/11/t1210539350jkj9th9qdx83ikb/2y9fn1210539307.ps (open in new window)

Parameters (Session):

par1 = 4 ;

Parameters (R input):

par1 = 4 ;

R code (references can be found in the software module):

par1 <- as.numeric(par1) (n <- length(x)) (np <- floor(n / par1)) arr <- array(NA,dim=c(par1,np)) j <- 0 k <- 1 for (i in 1:(np*par1)) { j = j + 1 arr[j,k] <- x[i] if (j == par1) { j = 0 k=k+1 } } arr arr.mean <- array(NA,dim=np) arr.sd <- array(NA,dim=np) arr.range <- array(NA,dim=np) for (j in 1:np) { arr.mean[j] <- mean(arr[,j],na.rm=TRUE) arr.sd[j] <- sd(arr[,j],na.rm=TRUE) arr.range[j] <- max(arr[,j],na.rm=TRUE) - min(arr[,j],na.rm=TRUE) } arr.mean arr.sd arr.range (lm1 <- lm(arr.sd~arr.mean)) (lnlm1 <- lm(log(arr.sd)~log(arr.mean))) (lm2 <- lm(arr.range~arr.mean)) bitmap(file='test1.png') plot(arr.mean,arr.sd,main='Standard Deviation-Mean Plot',xlab='mean',ylab='standard deviation') dev.off() bitmap(file='test2.png') plot(arr.mean,arr.range,main='Range-Mean Plot',xlab='mean',ylab='range') dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Standard Deviation-Mean Plot',4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Section',header=TRUE) a<-table.element(a,'Mean',header=TRUE) a<-table.element(a,'Standard Deviation',header=TRUE) a<-table.element(a,'Range',header=TRUE) a<-table.row.end(a) for (j in 1:np) { a<-table.row.start(a) a<-table.element(a,j,header=TRUE) a<-table.element(a,arr.mean[j]) a<-table.element(a,arr.sd[j] ) a<-table.element(a,arr.range[j] ) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Regression: S.E.(k) = alpha + beta * Mean(k)',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'alpha',header=TRUE) a<-table.element(a,lm1$coefficients[[1]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'beta',header=TRUE) a<-table.element(a,lm1$coefficients[[2]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'S.D.',header=TRUE) a<-table.element(a,summary(lm1)$coefficients[2,2]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'T-STAT',header=TRUE) a<-table.element(a,summary(lm1)$coefficients[2,3]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'p-value',header=TRUE) a<-table.element(a,summary(lm1)$coefficients[2,4]) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable1.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'alpha',header=TRUE) a<-table.element(a,lnlm1$coefficients[[1]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'beta',header=TRUE) a<-table.element(a,lnlm1$coefficients[[2]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'S.D.',header=TRUE) a<-table.element(a,summary(lnlm1)$coefficients[2,2]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'T-STAT',header=TRUE) a<-table.element(a,summary(lnlm1)$coefficients[2,3]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'p-value',header=TRUE) a<-table.element(a,summary(lnlm1)$coefficients[2,4]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Lambda',header=TRUE) a<-table.element(a,1-lnlm1$coefficients[[2]]) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable2.tab')

Copyright

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa

Disclaimer

Information provided on this web site is provided "AS IS" without warranty of any kind, either express or implied, including, without limitation, warranties of merchantability, fitness for a particular purpose, and noninfringement. We use reasonable efforts to include accurate and timely information and periodically update the information, and software without notice. However, we make no warranties or representations as to the accuracy or completeness of such information (or software), and we assume no liability or responsibility for errors or omissions in the content of this web site, or any software bugs in online applications. Your use of this web site is AT YOUR OWN RISK. Under no circumstances and under no legal theory shall we be liable to you or any other person for any direct, indirect, special, incidental, exemplary, or consequential damages arising from your access to, or use of, this web site.

Privacy Policy

We may request personal information to be submitted to our servers in order to be able to:

• personalize online software applications according to your needs
• enforce strict security rules with respect to the data that you upload (e.g. statistical data)
• manage user sessions of online applications
• alert you about important changes or upgrades in resources or applications

We NEVER allow other companies to directly offer registered users information about their products and services. Banner references and hyperlinks of third parties NEVER contain any personal data of the visitor.

We do NOT sell, nor transmit by any means, personal information, nor statistical data series uploaded by you to third parties.

We carefully protect your data from loss, misuse, alteration, and destruction. However, at any time, and under any circumstance you are solely responsible for managing your passwords, and keeping them secret.

We store a unique ANONYMOUS USER ID in the form of a small 'Cookie' on your computer. This allows us to track your progress when using this website which is necessary to create state-dependent features. The cookie is used for NO OTHER PURPOSE. At any time you may opt to disallow cookies from this website - this will not affect other features of this website.

We examine cookies that are used by third-parties (banner and online ads) very closely: abuse from third-parties automatically results in termination of the advertising contract without refund. We have very good reason to believe that the cookies that are produced by third parties (banner ads) do NOT cause any privacy or security risk.

FreeStatistics.org is safe. There is no need to download any software to use the applications and services contained in this website. Hence, your system's security is not compromised by their use, and your personal data - other than data you submit in the account application form, and the user-agent information that is transmitted by your browser - is never transmitted to our servers.

As a general rule, we do not log on-line behavior of individuals (other than normal logging of webserver 'hits'). However, in cases of abuse, hacking, unauthorized access, Denial of Service attacks, illegal copying, hotlinking, non-compliance with international webstandards (such as robots.txt), or any other harmful behavior, our system engineers are empowered to log, track, identify, publish, and ban misbehaving individuals - even if this leads to ban entire blocks of IP addresses, or disclosing user's identity.

FreeStatistics.org is powered by