Home » date » 2010 » Dec » 29 »

paper blog 3

*The author of this computation has been verified*
R Software Module: /rwasp_decompose.wasp (opens new window with default values)
Title produced by software: Classical Decomposition
Date of computation: Wed, 29 Dec 2010 16:04:10 +0000
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Dec/29/t12936386356krk5nmq0iqxb8k.htm/, Retrieved Wed, 29 Dec 2010 17:03:56 +0100
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2010/Dec/29/t12936386356krk5nmq0iqxb8k.htm/},
    year = {2010},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2010},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
2.1 - class decomp by moving avgs
 
Dataseries X:
» Textbox « » Textfile « » CSV «
2030 1855 1834 2092 2164 2368 2072 2521 1823 1947 2226 1754 1786 2072 1846 2137 2466 2154 2289 2628 2074 2798 2194 2442 2565 2063 2069 2539 1898 2139 2408 2725 2201 2311 2548 2276 2351 2280 2057 2479 2379 2295 2456 2546 2844 2260 2981 2678 3440 2842 2450 2669 2570 2540 2318 2930 2947 2799 2695 2498 2260 2160 2058 2533 2150 2172 2155 3016 2333 2355 2825 2214 2360 2299 1746 2069 2267 1878 2266 2282 2085 2277 2251 1828 1954 1851 1570 1852 2187 1855 2218 2253 2028 2169 1997 2034 1791 1627 1631 2319 1707 1747 2397 2059 2251 2558 2406 2049 2074 1734 1983 2121 1905 2126 2363 2173 2710 2137 2742 2419 2194 2660 2189 2310 2349 2540 2434 2916 2446 2375 3032 2218 1920 2039 1889 2014 2105 2153 2309 2955 2225 2160 2386 1653 1099 5010 2672 2729 2955 2409 3086 3384 2458 2913 2448 2215 2179 2461 2098 2621 2703 2388 3880 3310 3093 3237 3002 2670 2311 2062 2059 etc...
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk


Classical Decomposition by Moving Averages
tObservationsFitTrendSeasonalRandom
12030NANA-205.580409356725NA
21855NANA2.87792397660818NA
31834NANA-363.613304093567NA
42092NANA2.80116959064325NA
52164NANA-90.4554093567252NA
62368NANA-201.391812865497NA
720722131.81432748538204784.8143274853802-59.8143274853796
825212448.945906432752045.875403.07090643274972.0540935672518
918232150.202485380122055.4166666666794.7858187134503-327.202485380117
1019472107.847222222222057.7916666666750.0555555555556-160.847222222222
1122262357.665204678362072.25285.415204678363-131.665204678362
1217542013.136695906432075.91666666667-62.7799707602338-259.136695906433
1317861870.461257309942076.04166666667-205.580409356725-84.4612573099414
1420722092.419590643272089.541666666672.87792397660818-20.4195906432747
1518461740.845029239772104.45833333333-363.613304093567105.154970760234
1621372153.176169590642150.3752.80116959064325-16.1761695906434
1724662094.044590643272184.5-90.4554093567252371.955409356726
1821542010.441520467842211.83333333333-201.391812865497143.558479532164
1922892357.772660818712272.9583333333384.8143274853802-68.7726608187131
2026282708.112573099422305.04166666667403.070906432749-80.1125730994154
2120742408.744152046782313.9583333333394.7858187134503-334.744152046783
2227982390.05555555556234050.0555555555556407.944444444445
2321942618.49853801172333.08333333333285.415204678363-424.498538011696
2424422246.011695906432308.79166666667-62.7799707602338195.988304093567
2525652107.544590643272313.125-205.580409356725457.455409356725
2620632325.002923976612322.1252.87792397660818-262.002923976608
2720691967.845029239772331.45833333333-363.613304093567101.154970760234
2825392319.259502923982316.458333333332.80116959064325219.740497076023
2918982220.461257309942310.91666666667-90.4554093567252-322.461257309941
3021392117.35818713452318.75-201.39181286549721.6418128654973
3124082387.730994152052302.9166666666784.814327485380220.2690058479534
3227252706.112573099412303.04166666667403.07090643274918.8874269005851
3322012406.369152046782311.5833333333394.7858187134503-205.369152046784
3423112358.638888888892308.5833333333350.0555555555556-47.6388888888887
3525482611.540204678362326.125285.415204678363-63.5402046783629
3622762289.886695906432352.66666666667-62.7799707602338-13.8866959064326
3723512155.586257309942361.16666666667-205.580409356725195.413742690058
3822802358.586257309942355.708333333332.87792397660818-78.5862573099412
3920572011.42836257312375.04166666667-363.61330409356745.5716374269005
4024792402.509502923982399.708333333332.8011695906432576.4904970760231
4123792325.169590643272415.625-90.455409356725253.8304093567258
4222952249.024853801172450.41666666667-201.39181286549745.9751461988308
4324562597.355994152052512.5416666666784.8143274853802-141.355994152047
4425462984.404239766082581.33333333333403.070906432749-438.404239766081
4528442715.910818713452621.12594.7858187134503128.08918128655
4622602695.472222222222645.4166666666750.0555555555556-435.472222222222
4729812946.706871345032661.29166666667285.41520467836334.2931286549706
4826782616.67836257312679.45833333333-62.779970760233861.3216374269009
4934402478.336257309942683.91666666667-205.580409356725961.663742690058
5028422697.044590643282694.166666666672.87792397660818144.955409356725
5124502350.845029239772714.45833333333-363.61330409356799.1549707602344
5226692744.009502923982741.208333333332.80116959064325-75.0095029239765
5325702661.294590643272751.75-90.4554093567252-91.2945906432747
5425402530.941520467842732.33333333333-201.3918128654979.05847953216335
5523182760.480994152052675.6666666666784.8143274853802-442.480994152047
5629303001.154239766082598.08333333333403.070906432749-71.1542397660814
5729472648.119152046782553.3333333333394.7858187134503298.880847953216
5827992581.388888888892531.3333333333350.0555555555556217.611111111111
5926952793.581871345032508.16666666667285.415204678363-98.5818713450294
6024982412.55336257312475.33333333333-62.779970760233885.4466374269009
6122602247.627923976612453.20833333333-205.58040935672512.3720760233923
6221602452.8779239766124502.87792397660818-292.877923976608
6320582064.386695906432428-363.613304093567-6.38669590643258
6425332386.717836257312383.916666666672.80116959064325146.28216374269
6521502280.377923976612370.83333333333-90.4554093567252-130.377923976608
6621722163.024853801172364.41666666667-201.3918128654978.97514619883032
6721552441.564327485382356.7584.8143274853802-286.56432748538
6830162769.779239766082366.70833333333403.070906432749246.220760233918
6923332454.285818713452359.594.7858187134503-121.28581871345
7023552377.222222222222327.1666666666750.0555555555556-22.2222222222222
7128252598.12353801172312.70833333333285.415204678363226.876461988304
7222142242.55336257312305.33333333333-62.7799707602338-28.5533625730991
7323602092.127923976612297.70833333333-205.580409356725267.872076023392
7422992274.627923976612271.752.8779239766081824.3720760233919
7517461867.220029239772230.83333333333-363.613304093567-121.220029239766
7620692220.051169590642217.252.80116959064325-151.051169590643
7722672099.627923976612190.08333333333-90.4554093567252167.372076023392
7818781948.691520467842150.08333333333-201.391812865497-70.6915204678362
7922662201.897660818712117.0833333333384.814327485380264.1023391812864
8022822484.570906432752081.5403.070906432749-202.570906432748
8120852150.285818713452055.594.7858187134503-65.2858187134502
8222772089.180555555562039.12550.0555555555556187.819444444445
8322512312.165204678362026.75285.415204678363-61.1652046783624
8418281959.67836257312022.45833333333-62.7799707602338-131.678362573099
8519541813.919590643272019.5-205.580409356725140.080409356726
8618512019.169590643272016.291666666672.87792397660818-168.169590643274
8715701649.095029239772012.70833333333-363.613304093567-79.0950292397656
8818522008.634502923982005.833333333332.80116959064325-156.634502923976
8921871900.294590643271990.75-90.4554093567252286.705409356726
9018551787.35818713451988.75-201.39181286549767.6418128654975
9122182075.355994152051990.5416666666784.8143274853802142.644005847953
9222532377.487573099411974.41666666667403.070906432749-124.487573099415
9320282062.410818713451967.62594.7858187134503-34.41081871345
9421692039.680555555561989.62550.0555555555556129.319444444445
9519972274.49853801171989.08333333333285.415204678363-277.498538011696
9620341901.80336257311964.58333333333-62.7799707602338132.196637426901
9717911761.961257309941967.54166666667-205.58040935672529.0387426900584
9816271969.794590643271966.916666666672.87792397660818-342.794590643275
9916311604.511695906431968.125-363.61330409356726.4883040935674
10023191996.426169590641993.6252.80116959064325322.573830409357
10117071936.419590643272026.875-90.4554093567252-229.419590643275
10217471843.149853801172044.54166666667-201.391812865497-96.1498538011692
10323972141.772660818712056.9583333333384.8143274853802255.227339181287
10420592476.279239766082073.20833333333403.070906432749-417.279239766081
10522512187.119152046782092.3333333333394.785818713450363.8808479532167
10625582148.805555555562098.7550.0555555555556409.194444444444
10724062384.165204678362098.75285.41520467836321.8347953216371
10820492060.011695906432122.79166666667-62.7799707602338-11.0116959064326
10920741931.586257309942137.16666666667-205.580409356725142.413742690059
11017342143.377923976612140.52.87792397660818-409.377923976608
11119831800.761695906432164.375-363.613304093567182.238304093568
11221212168.759502923982165.958333333332.80116959064325-47.7595029239769
11319052071.961257309942162.41666666667-90.4554093567252-166.961257309941
11421261990.441520467842191.83333333333-201.391812865497135.558479532164
11523632297.064327485382212.2584.814327485380265.9356725146204
11621732658.904239766082255.83333333333403.070906432749-485.904239766081
11727102397.78581871345230394.7858187134503312.21418128655
11821372369.513888888892319.4583333333350.0555555555556-232.513888888889
11927422631.24853801172345.83333333333285.415204678363110.751461988305
12024192318.80336257312381.58333333333-62.7799707602338100.196637426901
12121942196.211257309942401.79166666667-205.580409356725-2.21125730994117
12226602438.586257309942435.708333333332.87792397660818221.413742690058
12321892092.05336257312455.66666666667-363.61330409356796.9466374269009
12423102457.384502923982454.583333333332.80116959064325-147.384502923976
12523492386.127923976612476.58333333333-90.4554093567252-37.1279239766081
12625402278.899853801172480.29166666667-201.391812865497261.100146198831
12724342545.314327485382460.584.8143274853802-111.31432748538
12829162826.279239766082423.20833333333403.07090643274989.7207602339186
12924462479.619152046782384.8333333333394.7858187134503-33.6191520467837
13023752410.05555555556236050.0555555555556-35.0555555555552
13130322622.915204678362337.5285.415204678363409.084795321637
13222182248.42836257312311.20833333333-62.7799707602338-30.4283625730995
13319202084.294590643272289.875-205.580409356725-164.294590643274
13420392289.169590643272286.291666666672.87792397660818-250.169590643275
13518891915.095029239772278.70833333333-363.613304093567-26.0950292397656
13620142263.342836257312260.541666666672.80116959064325-249.34283625731
13721052134.211257309942224.66666666667-90.4554093567252-29.2112573099416
13821531972.816520467842174.20833333333-201.391812865497180.183479532164
13923092201.272660818712116.4583333333384.8143274853802107.727339181286
14029552609.112573099422206.04166666667403.070906432749345.887426900585
14122252457.244152046782362.4583333333394.7858187134503-232.244152046784
14221602474.930555555562424.87550.0555555555556-314.930555555556
14323862775.49853801172490.08333333333285.415204678363-389.498538011696
14416532473.386695906432536.16666666667-62.7799707602338-820.386695906433
14510992373.627923976612579.20833333333-205.580409356725-1274.62792397661
14650102632.336257309942629.458333333332.877923976608182377.66374269006
14726722293.42836257312657.04166666667-363.613304093567378.5716374269
14827292700.926169590642698.1252.8011695906432528.0738304093561
14929552641.627923976612732.08333333333-90.4554093567252313.372076023392
15024092556.691520467842758.08333333333-201.391812865497-147.691520467836
15130862911.314327485382826.584.8143274853802174.68567251462
15233843168.362573099412765.29166666667403.070906432749215.637426900586
15324582729.952485380122635.1666666666794.7858187134503-271.952485380117
15429132656.805555555562606.7550.0555555555556256.194444444444
15524482877.165204678362591.75285.415204678363-429.165204678362
15622152517.595029239772580.375-62.7799707602338-302.595029239766
15721792407.002923976612612.58333333333-205.580409356725-228.002923976608
15824612645.461257309942642.583333333332.87792397660818-184.461257309942
15920982302.345029239772665.95833333333-363.613304093567-204.345029239766
16026212708.717836257312705.916666666672.80116959064325-87.71783625731
16127032652.044590643282742.5-90.455409356725250.9554093567249
16223882583.149853801172784.54166666667-201.391812865497-195.14985380117
16338802893.81432748538280984.8143274853802986.18567251462
16433103200.945906432752797.875403.070906432749109.054093567252
16530932874.410818713452779.62594.7858187134503218.58918128655
16632372821.555555555562771.550.0555555555556415.444444444444
16730023029.99853801172744.58333333333285.415204678363-27.9985380116964
16826702646.386695906432709.16666666667-62.779970760233823.6133040935674
16923112423.669590643272629.25-205.580409356725-112.669590643275
17020622547.002923976612544.1252.87792397660818-485.002923976608
17120592143.386695906432507-363.613304093567-84.3866959064321
17224652456.884502923982454.083333333332.801169590643258.11549707602353
17322132322.919590643272413.375-90.4554093567252-109.919590643275
17420282208.85818713452410.25-201.391812865497-180.858187134503
17523222506.272660818712421.4583333333384.8143274853802-184.272660818714
17628252851.445906432752448.375403.070906432749-26.4459064327484
17726872575.452485380122480.6666666666794.7858187134503111.547514619883
17823732567.05555555556251750.0555555555556-194.055555555556
17928892856.581871345032571.16666666667285.41520467836332.4181286549701
18027082584.845029239772647.625-62.7799707602338123.154970760234
18125422508.502923976612714.08333333333-205.58040935672533.4970760233923
18224772778.586257309942775.708333333332.87792397660818-301.586257309941
18324192482.386695906432846-363.613304093567-63.3866959064326
18429772904.259502923982901.458333333332.8011695906432572.7404970760235
18530012862.919590643272953.375-90.4554093567252138.080409356726
18630752802.816520467843004.20833333333-201.391812865497272.183479532164
18728703114.314327485383029.584.8143274853802-244.31432748538
18837563445.987573099423042.91666666667403.070906432749310.012426900585
18934433145.78581871345305194.7858187134503297.21418128655
19029483090.05555555556304050.0555555555556-142.055555555556
19135603310.831871345033025.41666666667285.415204678363249.168128654971
19232572952.470029239773015.25-62.7799707602338304.529970760235
19326002798.752923976613004.33333333333-205.580409356725-198.752923976608
19427413004.8779239766130022.87792397660818-263.877923976608
19523492621.17836257312984.79166666667-363.613304093567-272.178362573099
19627832956.926169590642954.1252.80116959064325-173.926169590643
19728452867.502923976612957.95833333333-90.4554093567252-22.5029239766077
19829872744.066520467842945.45833333333-201.391812865497242.933479532164
19926962989.81432748538290584.8143274853802-293.81432748538
20038743300.862573099422897.79166666667403.070906432749573.137426900585
20129123003.910818713452909.12594.7858187134503-91.9108187134498
20227432951.013888888892900.9583333333350.0555555555556-208.013888888889
20338573157.581871345032872.16666666667285.415204678363699.418128654971
20426602776.886695906432839.66666666667-62.7799707602338-116.886695906433
20522262627.211257309942832.79166666667-205.580409356725-401.211257309942
20629422820.8779239766128182.87792397660818121.122076023392
20724202418.095029239772781.70833333333-363.6133040935671.90497076023394
20825162768.967836257312766.166666666672.80116959064325-252.96783625731
20924212665.877923976612756.33333333333-90.4554093567252-244.877923976608
21026312551.816520467842753.20833333333-201.39181286549779.1834795321643
21128872855.272660818712770.4583333333384.814327485380231.7273391812873
21233283178.070906432752775403.070906432749149.929093567252
21325872844.869152046782750.0833333333394.7858187134503-257.869152046783
21426952793.513888888892743.4583333333350.0555555555556-98.5138888888887
21536693051.87353801172766.45833333333285.415204678363617.126461988304
21627732682.845029239772745.625-62.779970760233890.1549707602339
21725272499.252923976612704.83333333333-205.58040935672527.7470760233919
21827502688.461257309942685.583333333332.8779239766081861.5387426900584
21920142302.386695906432666-363.613304093567-288.386695906433
22027632654.176169590642651.3752.80116959064325108.823830409357
22127262506.252923976612596.70833333333-90.4554093567252219.747076023392
22218262337.524853801172538.91666666667-201.391812865497-511.524853801169
22327132611.355994152052526.5416666666784.8143274853802101.644005847953
22430402920.154239766082517.08333333333403.070906432749119.845760233918
22524052613.160818713452518.37594.7858187134503-208.16081871345
22625262582.680555555562532.62550.0555555555556-56.6805555555552
22725262804.915204678362519.5285.415204678363-278.915204678363
22825292452.80336257312515.58333333333-62.779970760233876.1966374269005
22924742321.419590643272527-205.580409356725152.580409356725
23025762513.836257309942510.958333333332.8779239766081862.1637426900588
23122192156.80336257312520.41666666667-363.61330409356762.1966374269005
23229002570.967836257312568.166666666672.80116959064325329.03216374269
23322742537.961257309942628.41666666667-90.4554093567252-263.961257309941
23421842496.024853801172697.41666666667-201.391812865497-312.024853801169
23526292852.355994152052767.5416666666784.8143274853802-223.355994152047
2362739NANA403.070906432749NA
2372933NANA94.7858187134503NA
2383144NANA50.0555555555556NA
2393354NANA285.415204678363NA
2403357NANA-62.7799707602338NA
2413329NANANANA
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Dec/29/t12936386356krk5nmq0iqxb8k/1d2tv1293638644.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/29/t12936386356krk5nmq0iqxb8k/1d2tv1293638644.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/29/t12936386356krk5nmq0iqxb8k/2d2tv1293638644.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/29/t12936386356krk5nmq0iqxb8k/2d2tv1293638644.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/29/t12936386356krk5nmq0iqxb8k/3ntag1293638644.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/29/t12936386356krk5nmq0iqxb8k/3ntag1293638644.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/29/t12936386356krk5nmq0iqxb8k/4gkrj1293638644.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/29/t12936386356krk5nmq0iqxb8k/4gkrj1293638644.ps (open in new window)


 
Parameters (Session):
par1 = additive ; par2 = 12 ;
 
Parameters (R input):
par1 = additive ; par2 = 12 ;
 
R code (references can be found in the software module):
par2 <- as.numeric(par2)
x <- ts(x,freq=par2)
m <- decompose(x,type=par1)
m$figure
bitmap(file='test1.png')
plot(m)
dev.off()
mylagmax <- length(x)/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(as.numeric(m$trend),na.action=na.pass,lag.max = mylagmax,main='Trend')
acf(as.numeric(m$seasonal),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(as.numeric(m$random),na.action=na.pass,lag.max = mylagmax,main='Random')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
spectrum(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
spectrum(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
cpgram(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
cpgram(as.numeric(m$random[!is.na(m$random)]),main='Random')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observations',header=TRUE)
a<-table.element(a,'Fit',header=TRUE)
a<-table.element(a,'Trend',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Random',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(m$trend)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
if (par1 == 'additive') a<-table.element(a,m$trend[i]+m$seasonal[i]) else a<-table.element(a,m$trend[i]*m$seasonal[i])
a<-table.element(a,m$trend[i])
a<-table.element(a,m$seasonal[i])
a<-table.element(a,m$random[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
 




Copyright

Creative Commons License

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