From a097aa4a3af79b079c97690863c735cc6aa8383c Mon Sep 17 00:00:00 2001 From: Ben Anderson <b.anderson@soton.ac.uk> Date: Tue, 9 Jun 2015 11:12:50 +0100 Subject: [PATCH] updated notes/comments --- Census2022-CER-calculate-AR.do | 2 ++ Census2022-CER-data-exploration.do | 5 ++++- Census2022-CER-data-processing.do | 2 ++ ...Lboro1min-consumption-by-hh-category-March-2008-graphs.do | 2 ++ ...Lboro1min-consumption-by-hh-category-March-2008-models.do | 2 ++ 5 files changed, 12 insertions(+), 1 deletion(-) diff --git a/Census2022-CER-calculate-AR.do b/Census2022-CER-calculate-AR.do index 7fd8362..abfcea6 100644 --- a/Census2022-CER-calculate-AR.do +++ b/Census2022-CER-calculate-AR.do @@ -8,6 +8,8 @@ * Calculate the AR coefficients for mid-weeks (Tues-Thurs) and weekends to * add to the regression modelling approach to estimating household characteristics +* For the latest version of this code go to: https://github.com/dataknut/Census2022 + * This work was funded by RCUK through the ESRC's Transformative Social Science Programme via the * "Census 2022: Transforming Small Area Socio-Economic Indicators through 'Big Data'" Project * - http://gtr.rcuk.ac.uk/project/2D2CD798-4F04-4399-B1AF-D810A233DD21 diff --git a/Census2022-CER-data-exploration.do b/Census2022-CER-data-exploration.do index eb31da6..de1a854 100644 --- a/Census2022-CER-data-exploration.do +++ b/Census2022-CER-data-exploration.do @@ -8,7 +8,9 @@ * "Census 2022: Transforming Small Area Socio-Economic Indicators through 'Big Data'" Project * - http://gtr.rcuk.ac.uk/project/2D2CD798-4F04-4399-B1AF-D810A233DD21 * - http://www.energy.soton.ac.uk/tag/census2022/ - + +## For the latest version of this code go to: https://github.com/dataknut/Census2022 + Copyright (C) 2014 University of Southampton Author: Ben Anderson (b.anderson@soton.ac.uk, @dataknut, https://github.com/dataknut) @@ -81,6 +83,7 @@ su ba_floorarea, de tab ba_income, mi * switch to the daily summaries +* this includes Sharon's weekend & midweek cluster membership variables use "$pdfiles/Oct-2009-daily-summaries-survey-$version.dta", clear di "* check collinearity 'As a rule of thumb, a tolerance of 0.1 or less (equivalently VIF of 10 or greater) is a cause for concern. '" diff --git a/Census2022-CER-data-processing.do b/Census2022-CER-data-processing.do index bb90b71..3145dd7 100644 --- a/Census2022-CER-data-processing.do +++ b/Census2022-CER-data-processing.do @@ -6,6 +6,8 @@ * Processes & merges various files (mostly) created by Census2022 project team +## For the latest version of this code go to: https://github.com/dataknut/Census2022 + * This work was funded by RCUK through the ESRC's Transformative Social Science Programme via the * "Census 2022: Transforming Small Area Socio-Economic Indicators through 'Big Data'" Project * - http://gtr.rcuk.ac.uk/project/2D2CD798-4F04-4399-B1AF-D810A233DD21 diff --git a/Census2022-Lboro1min-consumption-by-hh-category-March-2008-graphs.do b/Census2022-Lboro1min-consumption-by-hh-category-March-2008-graphs.do index 059e9c6..5923486 100644 --- a/Census2022-Lboro1min-consumption-by-hh-category-March-2008-graphs.do +++ b/Census2022-Lboro1min-consumption-by-hh-category-March-2008-graphs.do @@ -8,6 +8,8 @@ * by whatever category you set up (or all of them) * use medians through-out +## For the latest version of this code go to: https://github.com/dataknut/Census2022 + * This work was funded by RCUK through the ESRC's Transformative Social Science Programme via the * "Census 2022: Transforming Small Area Socio-Economic Indicators through 'Big Data'" Project * - http://gtr.rcuk.ac.uk/project/2D2CD798-4F04-4399-B1AF-D810A233DD21 diff --git a/Census2022-Lboro1min-consumption-by-hh-category-March-2008-models.do b/Census2022-Lboro1min-consumption-by-hh-category-March-2008-models.do index 82b8a47..3f9c096 100644 --- a/Census2022-Lboro1min-consumption-by-hh-category-March-2008-models.do +++ b/Census2022-Lboro1min-consumption-by-hh-category-March-2008-models.do @@ -6,6 +6,8 @@ * - Comparing energy demand profiles for different kinds of households * Loops over March data producing regression models +## For the latest version of this code go to: https://github.com/dataknut/Census2022 + * This work was funded by RCUK through the ESRC's Transformative Social Science Programme via the * "Census 2022: Transforming Small Area Socio-Economic Indicators through 'Big Data'" Project * - http://gtr.rcuk.ac.uk/project/2D2CD798-4F04-4399-B1AF-D810A233DD21 -- GitLab