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As the access to this document is restricted, you may want to search for a different version of it. References listed on IDEAS asHTMLHTML with abstractplain textplain text with abstractBibTeXRIS (EndNote, RefMan, ProCite)ReDIFJSON Frederick S. Hillier & Michael M. Connors, 1966."__________________________________________________________________________________,"Management Science, INFORMS, vol. 13(1), pages 42-57, September. Ceder, Avishai & Wilson, Nigel H. M., 1986."1__________________,"Transportation Research Part B: Methodological, Elsevier, vol. 20(4), pages 331-344, August. Eugene L. Lawler, 1963."2________________________________,"Management Science, INFORMS, vol. 9(4), pages 586-599, July.3_______________  (including those not matched with items on IDEAS) Most related itemsThese are the items that most often cite the same works as this one and are cited by the same works as this one. Bolte, Andreas & Thonemann, Ulrich Wilhelm, 1996."4_________________________________________________________________,"European Journal of Operational Research, Elsevier, vol. 92(2), pages 402-416, July. Kazuhiro Tsuchiya & Sunil Bharitkar & Yoshiyasu Takefuji, 1996."5_____________________________________________________,"European Journal of Operational Research, Elsevier, vol. 89(3), pages 556-563, March. Jerzy Grobelny & Rafal Michalski, 2016. "6_______________________________________________________________________________________,"WORking papers in Management Science (WORMS) WORMS/16/11, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology. Pentico, David W., 2007."7________________________________________________,"European Journal of Operational Research, Elsevier, vol. 176(2), pages 774-793, January. Kim, J. -Y. & Kim, Y. -D., 1995."8_____________________________________________________________________,"Omega, Elsevier, vol. 23(4), pages 391-401, August. Richrd Molnr-Szipai & Anita Varga, 2019."9_____________________________________________________________________,"Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;sterr. Gesellschaft fr Operations Research (GOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(2), pages 475-482, June. Ravi Kumar, K. & Hadjinicola, George C. & Lin, Ting-li, 1995."10________________________________________________________________,"European Journal of Operational Research, Elsevier, vol. 87(1), pages 65-73, November. Chiang, Wen-Chyuan & Chiang, Chi, 1998."11__________________________________________________________________________________________________________________________,"European Journal of Operational Research, Elsevier, vol. 106(2-3), pages 457-488, April. Loiola, Eliane Maria & de Abreu, Nair Maria Maia & Boaventura-Netto, Paulo Oswaldo & Hahn, Peter & Querido, Tania, 2007."12_____________________________________________,"European Journal of Operational Research, Elsevier, vol. 176(2), pages 657-690, January. Mohammad Javad Feizollahi & Igor Averbakh, 2014."13___________________________________________________________________________,"INFORMS Journal on Computing, INFORMS, vol. 26(2), pages 321-335, May. 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Liu, Tao & Ceder, Avishai (Avi), 2015."17___________________________________________________________________________,"Transport Policy, Elsevier, vol. 39(C), pages 63-76. Nayan, Ashish & Wang, David Z.W., 2017."18______________________________________________________________________,"Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 146-157. Dorndorf, Ulrich & Drexl, Andreas & Nikulin, Yury & Pesch, Erwin, 2005. "19________________________________________________________________,"Manuskripte aus den Instituten fr Betriebswirtschaftslehre der Universitt Kiel 584, Christian-Albrechts-Universitt zu Kiel, Institut fr Betriebswirtschaftslehre. Amirali Zarrinmehr & Mahmoud Saffarzadeh & Seyedehsan Seyedabrishami & Yu Marco Nie, 2016."20___________________________________________________________________________________________,"Public Transport, Springer, vol. 8(2), pages 261-293, September. Michael J. Brusco & Douglas Steinley & Ashley L. Watts, 2022."21________________________________________________________________________________,"Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 133-155, March. Matteo Fischetti & Michele Monaci & Domenico Salvagnin, 2012."22________________________________________________,"Operations Research, INFORMS, vol. 60(4), pages 954-964, August. Chiang, Wen-Chyuan & Kouvelis, Panagiotis & Urban, Timothy L., 2006."23_____________________________________________________________________________________,"European Journal of Operational Research, Elsevier, vol. 174(3), pages 1414-1426, November. More about this itemStatistics Access and download statistics Corrections All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:35:y:2001:i:10:p:913-928. See general information about how to correct material in RePEc.

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The synchronize function collects the variables from all input timetables, synchronizes them to a common time vector, and returns the result as a single timetable. The effect is similar to a horizontal concatenation, though the input timetables can have different row times. When the synchronize function synchronizes timetable variables to different times, it also resamples or aggregates the data in the variables using a method that you specify.

TT = synchronize(TT1,TT2) creates a timetable, TT, that contains all variables from both the input timetables TT1 and TT2, synchronized to a vector of row times that is the union of the row times from TT1 and TT2. The row times of TT are in sorted order with no repeated times.

For example, if newTimeBasis is 'union' and method is 'linear', then TT contains the row times from TT1 and TT2, and synchronize uses linear interpolation to resample the data from the input timetables to the output row times.

TT = synchronize(TT1,TT2,___,Name,Value) synchronizes timetables with additional options specified by one or more Name,Value pairs. You can use this syntax with the input arguments of any of the previous syntaxes.

Synchronize TT1 and TT2. The output timetable, TT, contains all the row times from both timetables, in sorted order. In TT, Temp contains NaN for row times from TT2, and Pressure contains NaN for row times from TT1.

Load sample timetables that contain two different sets of environmental measurements, indoors and outdoors. The air quality data come from a sensor inside a building, while the weather measurements come from sensors outside. The timetables include measurements taken from November 15, 2015, to November 19, 2015.

Aggregate the data from the timetables into daily time bins using the synchronize function. Specify 'daily' to aggregate the data into time bins that span one day apiece. Specify 'mean' to obtain the mean values in each time bin for each variable.

Aggregate the data from the timetables into 30-minute time bins using the synchronize function. Specify a regular time step using the 'regular' input argument and the 'TimeStep' name-value pair argument. You can use these arguments to create a timetable that is regular, but whose time step is not a predefined step such as 'hourly'.

Load two small timetables, with row times for measurements taken at the half-hour mark. However, in each timetable, there is a row time for data that was not collected at the half-hour mark. Both timetables are irregular, which means that the time step is different between consecutive row times.

Load two small timetables. In each timetable, there is a row time for data that was not collected on the hour. Both timetables are irregular, which means that the time step is different between consecutive row times.

Synchronize the measurements to daily times to produce mean temperatures and the sums of the rainfall measurements. synchronize applies the specified method to all timetable variables. To apply different methods to different timetable variables, index into the timetables to select different variables, and call synchronize for each method you use.

The first row time of TT is at the beginning of the time unit that includes the earliest row time from the input timetables. The range of row times in TT covers the range of row times from TT1 and TT2. However, TT might not include any of the actual row times from TT1 or TT2, since they can have row times that are not at the beginnings of any time unit. 5376163bf9

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