curve diff or time-series comparation or what?
Locked
curve diff or time-series comparation or what?
 
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Dear list.
I don't know what test or analysis to use. I've got data (activity data) every second for 24h of two populations (2 treatments) variable are 'second', 'groupA' 'groupB' where each data for each Group is the mean of 7 observations. I want to know or to stablis that both group have diferent curves (are different) , and, as those curves seem very similar for some time, when they start to change? (a second or a Confidence Interval for second). somebody told me to do something about time-series, but I don't thgink it's the way 'cos there are not a variable like month o day that is repeated... I'v been thinking is something working with the differences =gruopA-groupB any help would be very welcomed. Thank you all. |
Re: curve diff or time-series comparation or what?
Administrator
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You seem to be saying that you would be happy to consider time series analysis if the measure of time was months or days, but not when it is seconds. Is that right? If so, why? What do you have against seconds?
--
Bruce Weaver bweaver@lakeheadu.ca http://sites.google.com/a/lakeheadu.ca/bweaver/ "When all else fails, RTFM." PLEASE NOTE THE FOLLOWING: 1. My Hotmail account is not monitored regularly. To send me an e-mail, please use the address shown above. 2. The SPSSX Discussion forum on Nabble is no longer linked to the SPSSX-L listserv administered by UGA (https://listserv.uga.edu/). |
Re: curve diff or time-series comparation or what?
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"second"."grupoA"."GrupoB"."difAmenosB"
1."3.4706672"."2.508574035"."0.962093164999999" 2."5.05099906666667"."0.674344"."4.37665506666667" 3."2.465012"."0.7552655"."1.7097465" 4."1.17200966666667".0."1.17200966666667" 5."1.86766066666667".0."1.86766066666667" 6."3.22114833333333".0."3.22114833333333" 7."2.40451933333333".0."2.40451933333333" 8."1.300563".0."1.300563" 9."2.147431".0."2.147431" 10."1.3232362".0."1.3232362" 11."2.1701152".0."2.1701152" 12."2.80527133333333".0."2.80527133333333" 13."2.33646233333333".0."2.33646233333333" 14."2.92625666666667"."2.2523215"."0.673935166666667" 15."1.67862933333333"."3.641476575"."-1.96284724166667" 16."1.91302466666667"."0.0809215000000005"."1.83210316666667" 17."1.09639933333333"."11.113253525"."-10.0168541916667" 18."3.15309133333333"."5.58359835"."-2.43050701666667" 19."1.70886833333333"."0.6743495"."1.03451883333333" 20."2.6313584"."5.62405855"."-2.99270015" 21."1.39129906666667"."4.477669075"."-3.08637000833333" 22."3.379937"."0.782248499999999"."2.5976885" 23."2.0944968"."4.5990483"."-2.5045515" 24."1.57277046666667"."0.9305978"."0.642172666666667" 25."1.29299426666667"."2.4950805"."-1.20208623333333" 26."3.478233"."2.495086"."0.983147" 27."2.843082"."1.0924375"."1.7506445" 28."2.85064266666667"."0.7013215"."2.14932116666667" 29."2.38939433333333"."0.9845495"."1.40484483333333" 2010/11/8 Bruce Weaver <[hidden email]> You seem to be saying that you would be happy to consider time series |
Re: curve diff or time-series comparation or what?
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Administrator
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I don't understand why you posted (some of) the data. Is this meant to show something about why you are uncomfortable using time series analysis when time is measured in seconds? If so, I still don't see the problem.
I'm also not sure why the values of the last 3 variables are enclosed in quotes. They should be numeric, not string. HTH.
--
Bruce Weaver bweaver@lakeheadu.ca http://sites.google.com/a/lakeheadu.ca/bweaver/ "When all else fails, RTFM." PLEASE NOTE THE FOLLOWING: 1. My Hotmail account is not monitored regularly. To send me an e-mail, please use the address shown above. 2. The SPSSX Discussion forum on Nabble is no longer linked to the SPSSX-L listserv administered by UGA (https://listserv.uga.edu/). |
Re: curve diff or time-series comparation or what?
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Sorry, the quote is a problem with Spanish language, we use the ',' instead of the '.' for decimal position.
It's not that i don't want to use Time-series, is that yesterday I didn't know anything about time-series and the example that I look at was about 'station' time series. Today, at least, I know that exist other types, like continuous or signal time series. some data, in the proper manner: (I've got data for 24h) second,grupoA,GrupoB,difAmenosB 1,3.706672,2.08574035,0.62093164999999 2,5.5099906666667,0.74344,4.7665506666667 3,2.65012,0.552655,1.097465 4,1.7200966666667.,1.7200966666667 5,1.6766066666667.,1.6766066666667 6,3.2114833333333.,3.2114833333333 7,2.0451933333333.,2.0451933333333 8,1.00563.,1.00563 9,2.47431.,2.47431 10,1.232362.,1.232362 11,2.701152.,2.701152 12,2.0527133333333.,2.0527133333333 13,2.3646233333333.,2.3646233333333 14,2.2625666666667,2.523215,0.73935166666667 15,1.7862933333333,3.41476575,-1.6284724166667 16,1.1302466666667,0.809215000000005,1.3210316666667 17,1.9639933333333,11.13253525,-10.168541916667 18,3.5309133333333,5.8359835,-2.3050701666667 19,1.0886833333333,0.743495,1.3451883333333 20,2.313584,5.2405855,-2.9270015 21,1.9129906666667,4.77669075,-3.8637000833333 22,3.79937,0.82248499999999,2.976885 23,2.944968,4.990483,-2.045515 24,1.7277046666667,0.305978,0.42172666666667 25,1.9299426666667,2.950805,-1.0208623333333 26,3.78233,2.95086,0.83147 27,2.43082,1.924375,1.506445 28,2.5064266666667,0.013215,2.4932116666667 29,2.8939433333333,0.845495,1.0484483333333 30,1.7351366666667,3.302935,-1.5677983333333 31,2.3476566666667,0.72043,1.6272266666667 32,1.4762733333333,1.00331,0.472963333333336 33,1.3421,1.105475,-0.763375 34,1.7862933333333,0.12501,1.6612833333333 35,1.7692533333333,0.61854000000001,1.1507133333333 36,3.32117,1.016635,1.304535 37,2.39874,2.592355,-0.193615 38,1.5423966666667,0.96714,1.5752566666667 39,2.19648,3.04301,-0.84653 40,1.9619933333333,5.24058,-3.2785866666667 41,1.1302833333333,0.41785,1.7124333333333 42,1.7787733333333,6.1979305,-5.4191571666667 43,1.3590666666667,0.539484,0.81958266666667 44,0.12469,5.7109515,-4.5862615 45,0.48575666666667,1.12843,-0.64267333333333 46,1.61804,4.878633,-3.260593 47,0.38562666666666,1.329098,-0.94347133333334 48,1.69361,0.83228,1.86133 49,0.95647333333334,0.34871,0.60776333333333 50,0.33454333333333,3.233795,-2.8992516666667 51,0.46871666666667,2.95086,-1.4821433333333 52,0.56147333333333,8.3164775,-7.7550041666667 53,12.982081,5.8458555,7.1362255 54,0.73912933333333,3.0890905,-3.3499611666667 55,0.292969,1.6777145,-0.3847455 56,10.103152,1.128463,8.974689 57,2.733276,2.33243,0.40084600000001 58,3.3967803333333,1.105365,1.2914153333333 59,0.729657,2.41142,-1.681763 60,1.8128166666667,2.174505,-1.3616883333333 61,0.70505666666666,1.421215,-1.7161583333333 62,0.89785533333334,2.500205,-1.6023496666667 63,3.655662,2.365345,1.290317 64,3.7823747333333,3.977345,-0.19497026666666 65,8.133591,0.91115999999999,7.222431 66,11.3280424,2.546269,8.7817734 67,1.3080933333333,12.6983805,-11.390287166667 68,1.97907,7.6617895,-5.6827195 69,3.975092,3.750225,0.22486700000001 70,5.761422,2.546291,2.215131 71,0.94888,1.542816,-0.593936 72,1.66905,2.22058,-1.55153 73,1.13984,1.947418,0.192422 74,1.5103533333333,2.039623,-1.5292696666667 75,1.68609,0.03628,0.64981 76,1.8713466666667,0.85529,0.01605666666667 77,1.9375066666667,0.5297,1.4078066666667 78,1.0471566666667,0.957345,0.08981166666666 79,0.01507666666666,0.06914,0.94593666666667 80,1.6860533333333,2.322635,-1.6365816666667 81,0.61996666666667,5.836,-4.2160333333333 82,1.5084266666667,0.9112095,1.5972171666667 83,4.2510466666667,1.3849515,3.8660951666667 84,3.5895533333333,0.845451,2.7441023333333 85,1.96403,0.236805,0.727225 86,0.78822,1.184311,-0.39609100000001 87,0.80515,3.200957,-2.395807 88,0.01507666666667,0.957279,0.057797666666668 89,0.06608666666668,3.391676,-2.3255893333333 90,1.92995,6.174904,-4.244954 91,0.86382666666667,0.90141999999999,-0.03759333333332 92,0.54432333333333,1.184355,-0.64003166666666 93,1.0717166666667,0.440915,0.63080166666667 94,2.5234666666667,5.980677,-2.4572103333333 95,1.1813666666667,4.135226,-2.9538593333333 96,0.14928666666667,5.757021,-4.6077343333333 97,1.76177,3.503603,-1.741833 98,1.2910166666667,2.141678,-0.85066133333334 99,1.9885533333333,3.4147245,-2.4261711666667 100,0.69564666666668,3.4146915,-2.7190448333333 101,1.1907766666667,0.90142,0.28935666666667 102,1.2153733333333,0.338904,0.87646933333334 103,1.2153366666667,1.049429,-0.83409233333334 104,1.2834966666667,1.24028,-0.95678333333333 105,1.31554,3.098935,-1.783395 106,2.8693833333333,1.733645,0.13573833333333 107,1.6275966666667,1.05929,0.56830666666667 108,2.94499,2.434375,-0.489385 109,1.37418,3.819365,-1.445185 110,1.0546033333333,3.6943,-1.6396966666667 111,1.4497866666667,6.81641,-4.3666233333333 112,1.2910166666667,6.592765,-5.3017483333333 113,1.5839966666667,2.108785,-0.52478833333333 114,1.5083166666667,4.29314,-2.7848233333333 115,1.0641966666667,1.7337,0.33049666666666 116,1.3420633333333,4.460849,-2.1187856666667 117,2.8844966666667,1.273151,1.6113456666667 118,1.34962,2.7139835,-0.36436349999999 119,3.0187066666667,5.1386075,-2.1199008333333 120,2.23797,1.746849,0.49112100000001 121,0.80526,2.546225,-1.740965 122,1.8789033333333,1.34228,-0.46337666666666 123,1.5424333333333,2.24359,-0.70115666666667 124,2.71628,5.5991565,-2.8828765 125,2.0376,0.8454895,1.1921105 126,2.7672533333333,2.737076,0.03017733333332 127,2.9185033333333,7.0894785,-5.1709751666667 128,0.86382666666667,7.2900915,-6.4262648333333 129,2.35514,1.12843,1.22671 130,1.8618706666667,2.029905,-0.16803433333333 131,2.262574,0.84555,1.417024 132,2.3721433333333,0.013215,2.3589283333333 133,2.0451786666667,4.641839,-2.5966603333333 134,1.878929,2.704128,-1.825199 135,3.2775663333333,3.098935,0.17863133333333 136,2.7086866666667,6.197947,-3.4892603333333 137,4.8730573333333,2.378395,1.4946623333333 138,2.4477866666667,2.513343,-0.0655563333333342 139,2.1207926666667,2.085731,-0.964938333333336 140,3.714302,0.90136499999999,2.812937 141,1.508313,6.1748655,-4.6665525 142,4.604619,0.204,3.400619 143,1.5594366666667,3.0331875,-2.4737508333333 144,2.9941466666667,0.631656,1.3624906666667 145,3.2284866666667,2.2305125,1.9979741666667 146,4.66316,3.7634455,0.89971449999999 147,1.525419,2.6482085,-0.12278949999999 148,2.4062196666667,3.4937035,-1.0874838333333 149,1.2910496666667,5.845795,-3.5547453333333 150,1.425201,1.733645,0.69155599999999 151,1.795729,1.58888,-0.79315099999999 152,2.977125,8.484214,-5.507089 153,2.0962473333333,9.846249,-7.7500016666667 154,3.7313566666667,1.667815,2.0635416666667 155,3.143316,2.197559,1.945757 156,1.8448196666667,1.2402855,0.60453416666666 157,3.648197,2.1186295,1.5295675 158,2.4648266666667,1.723795,0.74103166666666 159,3.0432666666667,5.734,-1.6907333333333 160,2.87694,5.17144,-2.2945 161,1.359096,3.34559,-1.986494 162,1.4837126666667,2.1745215,-0.69080883333334 163,0.89794333333333,2.3093925,-1.4114491666667 164,2.1548066666667,2.648302,-0.49349533333333 165,1.6520833333333,5.082622,-3.4305386666667 166,2.3816266666667,1.825795,0.55583166666666 167,1.8372996666667,2.1416395,-1.3043398333333 168,2.835373,3.6615445,-1.8261715 169,3.5044633333333,3.075925,0.42853833333333 170,1.3741433333333,4.000355,-2.6262116666667 171,2.8013333333333,1.46387,1.3374633333333 172,1.6350433333333,2.46729,-0.83224666666666 173,3.7237266666667,0.743495,2.9802316666667 174,4.392839,2.90484,2.487999 175,1.5083056666667,1.74686,0.76144566666666 176,2.8088826666667,3.31284,-0.50395733333333 177,2.9695903333333,2.14159,-0.171999666666665 178,2.8694053333333,11.82998,-9.9605746666667 179,2.1547736666667,8.540205,-6.3854313333333 180,2.111313,4.74385,-1.632537 181,3.8824563333333,0.7434565,3.1389998333333 182,3.2606033333333,4.0925215,-1.8319181666667 183,2.3401,1.4540695,0.88603049999999 184,1.8864673333333,3.368699,-1.4822316666667 185,1.3911466666667,0.8454455,0.54570116666667 186,2.943034,0.687559,2.255475 187,1.3571876666667,0.171129,1.1860586666667 188,2.733221,2.816,0.91722099999999 189,1.7277046666667,3.694311,-1.9666063333333 190,1.256988,2.658031,-0.401043 191,3.7728833333333,1.184355,2.5885283333333 192,2.7162433333333,1.4211985,1.2950448333333 193,1.9791066666667,0.60855250000001,1.3705541666667 194,2.00363,3.526646,-1.523016 195,2.4647973333333,1.25013,1.2146673333333 196,2.2890606666667,0.44086,1.8482006666667 197,1.35714,1.384935,0.97220499999999 198,2.27205,2.941098,-0.66904800000001 199,2.1282833333333,1.835667,1.2926163333333 200,2.9431,5.441215,-2.498115 2010/11/8 Bruce Weaver <[hidden email]> I don't understand why you posted (some of) the data. Is this meant to show |
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In reply to this post by antonio ml
Dear All I am using the following syntax to produce a standard histogram
for 60 separate centres of time of patient recruitment. The histogram procedure
automatically provides a “textbox” containing mean, standard
deviation and number. In this case as in many others it is not
appropriate and I would like to include syntax to remove the information but I
can find nothing in the help section or syntax guide. Although it is
possible to remove it by editing each graph I have found it very time
consuming. I initially produced the graphs using split file by centre but
although that meant clicking on the “textbox” and delete for the
first graph I had to do it twice for the second three times for the third and
so on. If I produce the graphs by using temporary, select if and the
centre name that requires more work to produce the graph itself although I only
need to delete the “textbox” once. GGRAPH /GRAPHDATASET NAME="graphdataset"
VARIABLES=time MISSING=VARIABLEWISE REPORTMISSING=YES /GRAPHSPEC SOURCE=INLINE TEMPLATE=["H:\xxx\yyy\data checks\histmulti.sgt"]. BEGIN GPL SOURCE: s=userSource(id("graphdataset")) DATA: time=col(source(s), name("time")) GUIDE: axis(dim(1), delta(120), label("time")) GUIDE: axis(dim(2), delta(1),
label("Frequency")) SCALE: linear(dim(1), min(0), max(1410), origin(0)) SCALE: linear(dim(2), min(0), max(5), origin(0)) ELEMENT: interval(position(summary.count(bin.rect(time,
binStart(0), binWidth(30)))), shape.interior(shape.square)) END GPL. When I was carrying out a similar procedure 10 years ago Raynald
kindly produced a macro – I have looked back at that but it no longer
seems to work and I have almost succeeded using the above syntax. Any suggestions would be gratefully received. Many thanks Barbara Dr Barbara A Gregson Neurosurgical Trials Director Newcastle University Tel: +44 191 256 3139 Fax: +44 191 256 3268 email: [hidden email] |
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You can eliminate the statistics legend
by add a chart template to your GGRAPH command. Create any histogram.
Edit it and delete the statistics legend. Use File>Save
Chart Template in the chart editor. In the list of checkboxes that
appears, check the legend display box and save the template.
Then add something like this to the GGRAPH portion of your syntax. TEMPLATE=["C:\spss19\Looks\nohiststats.sgt"]. The legend will be gone in new histograms. Regards, Jon Peck Senior Software Engineer, IBM [hidden email] 312-651-3435 From: Barbara Gregson <[hidden email]> To: [hidden email] Date: 11/09/2010 12:08 PM Subject: [SPSSX-L] histogram Sent by: "SPSSX(r) Discussion" <[hidden email]> Dear All I am using the following syntax to produce a standard histogram for 60 separate centres of time of patient recruitment. The histogram procedure automatically provides a “textbox” containing mean, standard deviation and number. In this case as in many others it is not appropriate and I would like to include syntax to remove the information but I can find nothing in the help section or syntax guide. Although it is possible to remove it by editing each graph I have found it very time consuming. I initially produced the graphs using split file by centre but although that meant clicking on the “textbox” and delete for the first graph I had to do it twice for the second three times for the third and so on. If I produce the graphs by using temporary, select if and the centre name that requires more work to produce the graph itself although I only need to delete the “textbox” once. GGRAPH /GRAPHDATASET NAME="graphdataset" VARIABLES=time MISSING=VARIABLEWISE REPORTMISSING=YES /GRAPHSPEC SOURCE=INLINE TEMPLATE=["H:\xxx\yyy\data checks\histmulti.sgt"]. BEGIN GPL SOURCE: s=userSource(id("graphdataset")) DATA: time=col(source(s), name("time")) GUIDE: axis(dim(1), delta(120), label("time")) GUIDE: axis(dim(2), delta(1), label("Frequency")) SCALE: linear(dim(1), min(0), max(1410), origin(0)) SCALE: linear(dim(2), min(0), max(5), origin(0)) ELEMENT: interval(position(summary.count(bin.rect(time, binStart(0), binWidth(30)))), shape.interior(shape.square)) END GPL. When I was carrying out a similar procedure 10 years ago Raynald kindly produced a macro – I have looked back at that but it no longer seems to work and I have almost succeeded using the above syntax. Any suggestions would be gratefully received. Many thanks Barbara Dr Barbara A Gregson Neurosurgical Trials Director Newcastle University Tel: +44 191 256 3139 Fax: +44 191 256 3268 email: [hidden email] |
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Thanks Jon I should have mentioned that it WAS part of the template that I
have put in. I ticked all the check boxes to ensure that all my colours and
formats were chosen. I should have mentioned that we use version 17. The problem is that this statistics legend does not have a
checkbox on the template nor does it appear on any drop down menu – the only
way I can remove it is by right clicking on it in the graph and then clicking
delete. Do you have any other suggestions? Thanks Barbara From: Jon K Peck [mailto:[hidden email]] You
can eliminate the statistics legend by add a chart template to your GGRAPH
command. Create any histogram. Edit it and delete the statistics
legend. Use File>Save Chart Template in the chart editor. In the
list of checkboxes that appears, check the legend display box and save the
template.
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Thank you. I should have thought of that – it worked
beautifully. Barbara From: Jon K Peck [mailto:[hidden email]] You
are right. The template setting to suppress the statistics legend is not
available in that release. But you can get around this.
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