File List Code_and_Data_Supplement.zip (md5: dea8636b921f39c9d3fd269e44b6228c) Description The supplementary material provided includes all code and data files necessary to replicate the simulation models other demographic analyses presented in the paper. MATLAB code is provided for the simulations, and SAS code is provided to show how model parameters (vital rates) were estimated. The principal programs are Figure_3_4_5_Elasticity_Contours.m and Figure_6_Contours_Stochastic_Lambda.m which perform the elasticity analyses and run the stochastic simulation, respectively. The files are presented in a zipped folder called Code_and_Data_Supplement. When uncompressed, users may run the MATLAB programs by opening them from within this directory. Subdirectories contain the data files and supporting MATLAB functions necessary to complete execution. The programs are written to find the necessary supporting functions in the Code_and_Data_Supplement directory. If users copy these MATLAB files to a different directory, they must add the Code_and_Data_Supplement directory and its subdirectories to their search path to make the supporting files available. More details are provided in the README.txt file included in the supplement. The file and directory structure of entire zipped supplement is shown below. Folder PATH listing Code_and_Data_Supplement | Figure_3_4_5_Elasticity_Contours.m | Figure_6_Contours_Stochastic_Lambda.m | Figure_A1_RefitG2.m | Figure_A2_PlotFecundityRegression.m | README.txt | +---FinalDataFiles +---Make Tables | README.txt | Table_lamANNUAL.csv | Table_mgtProbPredicted.csv | +---ParameterEstimation | | Categorical Model output.xls | | | +---Fecundity | | Appendix_A3_Fecundity_Breakpoint.sas | | fec_Cat_Indiv.sas | | Mean_Fec_Previous_Study.m | | | +---G1 | | G1_Cat.sas | | | +---G2 | | G2_Cat.sas | | | +---Model Ranking | | Categorical Model Ranking.xls | | | +---Seedlings | | sdl_Cat.sas | | | +---SS | | SS_Cat.sas | | | +---SumSrv | | sum_Cat.sas | | | ---WinSrv | modavg.m | winCatModAvgfitted.m | winCatModAvgLinP.m | winCatModAvgMu.m | win_Cat.sas | +---ProcessedDatafiles | fecdat_gm_param_est_paper.mat | hierarchical_parameters.mat | refitG2_param_estimation.mat | ---Required_Functions | hline.m | hmstoc.m | Jeffs_Figure_Settings.m | Jeffs_startup.m | newbootci.m | sem.m | senstuff.m | vline.m | +---export_fig | change_value.m | eps2pdf.m | export_fig.m | fix_lines.m | ghostscript.m | license.txt | pdf2eps.m | pdftops.m | print2array.m | print2eps.m | +---lowess | license.txt | lowess.m | +---Multiprod_2009 | | Appendix A - Algorithm.pdf | | Appendix B - Testing speed and memory usage.pdf | | Appendix C - Syntaxes.pdf | | license.txt | | loc2loc.m | | MULTIPROD Toolbox Manual.pdf | | multiprod.m | | multitransp.m | | | ---Testing | | arraylab13.m | | arraylab131.m | | arraylab132.m | | arraylab133.m | | genop.m | | multiprod13.m | | readme.txt | | sysrequirements_for_testing.m | | testing_memory_usage.m | | testMULTIPROD.m | | timing_arraylab_engines.m | | timing_matlab_commands.m | | timing_MX.m | | | ---Data | Memory used by MATLAB statements.xls | Timing results.xlsx | timing_MX.txt | +---province | PROVINCE.DBF | province.prj | PROVINCE.SHP | PROVINCE.SHX | README.txt | +---SubAxis | parseArgs.m | subaxis.m | +---suplabel | license.txt | suplabel.m | suplabel_test.m | ---tight_subplot license.txt tight_subplot.m

A dataset of public corporate filings (such as annual reports, quarterly reports, and ad-hoc disclosures) for SAS (SAS), provided by FinancialReports.eu.

PLOSsyphThis is an ASCII file that is space delimited that was created in SAS. It has the variables that were used in the published paper. The readme.sas file is a .sas file that reads the data. You will need to change the infile statement to reflect the path to where you put the data.

Hm Clause Sas Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Net-Income Time Series for Believe SAS. Believe S.A. provides digital music services for independent labels and local artists in France, Germany, rest of Europe, the Americas, Asia, Oceania, and Pacific. It operates through two segments, Premium Solutions and Automated Solutions. The company engages in the sale, promotion, and delivery of digital content provided by artists and labels by developing their catalog on digital platforms and social media; administration of copyrights; provision of synchronization services comprising the use of recorded music in advertising, films and series, video games and television; and organization of musical events. It also offers TuneCore digital platform for artists to distribute their audio content in an automated manner to streaming and social media platforms. Believe S.A. was incorporated in 2005 and is headquartered in Paris, France.

Hm Clause Sas Arthaud Valerie Vale Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Hm Clause Sas Frantsiya Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Abstract (en): This data collection provides comparable measures of state appellate and trial court caseloads by type of case for the 50 states, the District of Columbia, and Puerto Rico. Court caseloads are tabulated according to generic reporting categories developed by the Court Statistics Project Committee of the Conference of State Court Administrators. These categories describe differences in the unit of count and the point of count when compiling each court's caseload. Major areas of investigation include (1) case filings in state appellate and trial courts, (2) case processing and dispositions in state appellate and trial courts, and (3) appellate opinions. Within each of these areas of state government investigation, cases are separated by main case type, including civil cases, capital punishment cases, other criminal cases, juvenile cases, and administrative agency appeals. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Checked for undocumented or out-of-range codes.. State appellate and trial court cases in the United States. 2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.2003-08-27 Part 45, Appellate Court Data, 2001, and Part 46, Trial Court Data, 2001, have been added to the data collection, along with corresponding SAS and SPSS data definition statements and PDF codebooks.2002-08-13 Part 43, Appellate Court Data, 2000, and Part 44, Trial Court Data, 2000, have been added to the data collection, along with corresponding SAS and SPSS data definition statements and PDF codebooks.2001-10-31 Part 41, Appellate Court Data, 1999, and Part 42, Trial Court Data, 1999, have been added to the data collection, along with corresponding SAS and SPSS data definition statements and PDF codebooks.2000-03-23 Part 39, Appellate Court Data, 1998, and Part 40, Trial Court Data, 1998, have been added to the data collection, along with corresponding SAS and SPSS data definition statements and PDF codebooks.1999-07-16 Part 37, Appellate Court Data, 1997, and Part 38, Trial Court Data, 1997, have been added to the data collection, along with corresponding SAS and SPSS data definition statements and PDF codebooks. Funding insitution(s): State Justice Institute (SJI-91-N-007-001-1). United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics. The Court Statistics Project Web page is: http://www.ncsconline.org/D_Research/csp/CSP_Main_Page.html.A user guide containing court codes and variable descriptions for the 1987 data and the codebooks for the 1995-2001 data are provided as Portable Document Format (PDF) files, and the codebooks for the 1988-1992 data are available in both ASCII text and PDF versions.

File List Variable Importance Simulation.txt Variable Importance Simulation.sas hierpart.txt hierpart.sas Description "Variable Importance Simulation.sas" is a simulation to evaluate the relative importance of random variables using Akaike weights, standardized regression coefficients, partial and semi-partial correlation coefficients, and hierarchical partitioning. Remember to change the subdirectory where hierpart.sas is called from the include statement. The file "hierpart.sas" is a macro that executes hierarchical partitioning analysis as described by Chevan and Sutherland in American Statistician, 1991, Vol. 45, no. 2, pp. 90–96. This macro was written by Kim Murray Berger and Mary M. Conner based on a Dominance Analysis macro written by Razia Azen and Robert Ceurvorst (http://www.uwm.edu/~azen/damacro.html). Hierarchical Partitioning analysis quantifies the importance of each predictor as its average contribution to the model r-square, across all possible models. Note: This program is limited to at most 10 predictors!

Hm Clause Sas Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Abstract (en): Roll call voting records for both chambers of the United States Congress through the second session of the 105th Congress are presented in this data collection. Each data file in the collection contains information for one chamber of a single Congress. The units of analysis in each part are the individual members of Congress. Each record contains a member's voting action on every roll call vote taken during that Congress, along with variables that identify the member (e.g., name, party, state, district, uniform ICPSR member number, and most recent means of attaining office). In addition, the codebook provides descriptive information for each roll call, including the date of the vote, outcome in terms of nays and yeas, name of initiator, the relevant bill or resolution number, and a synopsis of the issue. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. All roll call votes in the United States Congress. 2010-05-06 Data for the 105th Congress, House, and Senate (Parts 209-210), have been added to this collection, along with the standard ICPSR full product suite of files.2004-06-17 Variables were added to Part 110, Senate (55th Congress), and data within certain variables were corrected. SAS and SPSS data definition statements and the codebook have been modified to reflect these changes.2001-08-24 Logical record length data for the 8th session of the Senate, Part 16, is being made available along with SAS and SPSS data definition statements. The codebook has been modified to reflect these changes.1998-12-17 Data for the 104th Congress, House and Senate (Parts 207-208), have been added to this collection, along with corresponding machine-readable documentation and SAS and SPSS data definition statements.1997-02-24 Data for the 102nd and 103rd Congresses, House, and Senate (Parts 203-206) have been added to this collection, along with corresponding machine-readable documentation and SAS and SPSS data definition statements. The technical format has been standardized for all Congresses. Each file contains data for one chamber of a single Congress.

This is a special file prepared by the Economic Research Service of the U.S. Department of Agriculture. This file was donated to CISER by Mark Lancelle, Department of Rural Sociology, Cornell, in 1984. The file was received as an SPSS file. It was converted to an SAS system file. The only documentation for this file is the SAS Contents Listing. According to that listing, this file contains county level data for various time periods between 1960 and 1980. The Source Statements indicate that the file contains data from the Bureau of Economic Analysis (BEA) Personal Income and Employment series. No such variables can be found in the SAS dataset.

Diluted-EPS Time Series for Believe SAS. Believe S.A. provides digital music services for independent labels and local artists in France, Germany, rest of Europe, the Americas, Asia, Oceania, and Pacific. It operates through two segments, Premium Solutions and Automated Solutions. The company engages in the sale, promotion, and delivery of digital content provided by artists and labels by developing their catalog on digital platforms and social media; administration of copyrights; provision of synchronization services comprising the use of recorded music in advertising, films and series, video games and television; and organization of musical events. It also offers TuneCore digital platform for artists to distribute their audio content in an automated manner to streaming and social media platforms. Believe S.A. was incorporated in 2005 and is headquartered in Paris, France.

Abstract (en): This study is part of a time-series collection of national surveys fielded continuously since 1952. The election studies are designed to present data on Americans' social backgrounds, enduring political predispositions, social and political values, perceptions and evaluations of groups and candidates, opinions on questions of public policy, and participation in political life. A Black supplement of 263 respondents, who were asked the same questions that were administered to the national cross-section sample, is included with the national cross-section of 1,571 respondents. In addition to the usual content, the study contains data on opinions about the Supreme Court, political knowledge, and further information concerning racial issues. Voter validation data have been included as an integral part of the election study, providing objective information from registration and voting records or from respondents' past voting behavior. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Standardized missing values.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. United States citizens of voting age living in private households in the continental United States. A representative cross-section sample, consisting of 1,571 respondents, plus a Black supplement sample of 263 respondents. 2015-11-10 The study metadata was updated.1999-12-14 The data for this study are now available in SAS transport and SPSS export formats, in addition to the ASCII data file. Variables in the dataset have been renumbered to the following format: 2-digit (or 2-character) year prefix + 4 digits + [optional] 1-character suffix. Dataset ID and version variables have also been added. In addition, SAS and SPSS data definition statements have been created for this collection, and the data collection instruments are now available as a PDF file. face-to-face interview, telephone interviewThe SAS transport file was created using the SAS CPORT procedure.

Net-Income-Applicable-To-Common-Shares Time Series for Believe SAS. Believe S.A. provides digital music services for independent labels and local artists in France, Germany, rest of Europe, the Americas, Asia, Oceania, and Pacific. It operates through two segments, Premium Solutions and Automated Solutions. The company engages in the sale, promotion, and delivery of digital content provided by artists and labels by developing their catalog on digital platforms and social media; administration of copyrights; provision of synchronization services comprising the use of recorded music in advertising, films and series, video games and television; and organization of musical events. It also offers TuneCore digital platform for artists to distribute their audio content in an automated manner to streaming and social media platforms. Believe S.A. was incorporated in 2005 and is headquartered in Paris, France.

Abstract (en): This is the seventh in a series of surveys conducted by the Bureau of the Census. It contains information on state and local public residential facilities operated by the juvenile justice system during the fiscal year 1982. Each data record is classified into one of six categories: (1) detention center, (2) shelter, (3) reception or diagnostic center, (4) training school, (5) ranch, forestry camp, or farm, and (6) halfway house or group home. Data include state, county, and city identification, level of government responsible for the facility, type of agency, agency identification, resident population by sex, age range, detention status, and offense, and admissions and departures of population. Also included in the data are average length of stay, staffing expenditures, capacity of the facility, and programs and services available. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Standardized missing values.; Created online analysis version with question text.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. Juvenile detention and correctional facilities operated by state or local governments in the United States in 1982 and 1983. 2007-11-28 Data file was updated to include ready-to-go files and the ASCII codebook was converted to PDF format.2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.1997-02-25 SAS data definition statements are now available for this collection and the SPSS data definition statements were updated. Funding insitution(s): United States Department of Justice. Office of Justice Programs. Office of Juvenile Justice and Delinquency Prevention. Conducted by the United States Department of Commerce, Bureau of the Census

This is the limited access database for the Study to Understand Fall Reduction and Vitamin D in You (STURDY) randomized response-adaptive clinical trial. The database includes baseline, treatment and post randomization data. This Database includes a set of files pertaining to the full study population (688 randomized participants plus screenees who were not randomized) and a set of files pertaining to the burn-in cohort (the 406 participants randomized prior to the first adjustment of the randomization probabilities). The Database also includes files that support the analyses included in the primary outcome paper published by the Annals of Internal Medicine (2021;174:(2):145-156). Each data file in the Database corresponds to a specific data collection form or type of data. This documentation notebook includes a SAS PROC CONTENTS listing for each SAS file and a copy of the relevant form if applicable. Each variable on each SAS data file has an associated SAS label. Several STURDY documents, including the final versions of the screening and trial consent statements, the Protocol, and the Manual of Procedures, are included with this documentation notebook to assist with understanding and navigation of STURDY data. Notes on analysis questions and issues are also included, as is a list of STURDY publications.

Abstract (en): These data were collected using the National Electronic Injury Surveillance System (NEISS), the primary data system of the United States Consumer Product Safety Commission (CPSC). CPSC began operating NEISS in 1972 to monitor product-related injuries treated in United States hospital emergency departments (EDs). In June 1992, the National Center for Injury Prevention and Control (NCIPC), within the Centers for Disease Control and Prevention, established an interagency agreement with CPSC to begin collecting data on nonfatal firearm-related injuries to monitor the incidence and characteristics of persons with nonfatal firearm-related injuries treated in United States hospital EDs over time. This dataset represents all nonfatal firearm-related injuries (i.e., injuries associated with powder-charged guns) and all nonfatal BB and pellet gun-related injuries reported through NEISS from 1993 through 2000. The cases consist of initial ED visits for treatment of the injuries. Cases were reported even if the patients subsequently died. Secondary visits and transfers from other hospitals were excluded. Information is available on injury diagnosis, firearm type, use of drugs or alcohol, criminal incident, and locale of the incident. Demographic information includes age, sex, and race of the injured person. United States hospitals providing emergency services. Stratified probability sample of all United States hospitals that had at least six beds and provided 24-hour emergency services. There were four hospital size strata (defined as very large, large, medium, and small, based on the number of annual ED visits) and one children's hospital stratum. From 1993 through 1996, there were 91 NEISS hospital EDs in the sample. In 1997, the sampling frame was updated so that from 1997 through 1999, the sample included 101 NEISS hospital EDs. In 2000, one NEISS hospital dropped of the system so there were 100 NEISS hospital EDs in the sample. In 1997, CPSC collected firearm-related cases using the "old" and "new" NEISS hospital samples for a 9-month period. This dataset includes data from the "new" sample. The overlapping "old" sample is not included. Comparisons of weighted estimates based on the "old" and "new" samples indicated a difference of about 1 percent in the overall national estimate using these samples. The characteristics of firearm-related cases from these two overlapping samples were also very similar. 2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.2003-09-16 The 2000 data have been added to the cumulative data. The codebook and SAS and SPSS data definition statements have been updated to reflect these changes.2002-09-19 The 1999 data have been added to the cumulative data and a variable was removed. The codebook and data definition statements have been updated to reflect these changes.2001-05-18 The 1998 data have been added to this study, and the codebook has been updated to reflect these changes. Funding insitution(s): United States Department of Health and Human Services. Centers for Disease Control and Prevention. National Center for Injury Prevention and Control. United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics.

Abstract (en): The 1979 Juvenile Detention and Correctional Facility Census is the sixth in a series of surveys of state and local public residential facilities in the juvenile justice system. There is one record for each juvenile detention facility that had a population of at least 50 percent juveniles. Each record is classified into one of six categories: detention centers or shelters, reception or diagnostic centers, training schools, ranches, forestry camps and farms, and halfway houses and group homes. Data include state, county, and city identification, level of government responsible for the facility, type of agency, agency identification, resident population by sex, age range, detention status, and offense, admissions and departures of population, average length of stay, staffing and expenditures, age and capacity of the facility, and programs and services available. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Standardized missing values.; Created online analysis version with question text.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. Juvenile detention and correctional facilities operated by state or local governments. 2007-12-11 The data file was updated to include ready-to-go files and the ASCII codebook was converted to PDF format.2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.1997-02-25 SAS data definition statements are now available for this collection and the SPSS data definition statements have been updated. Conducted by the United States Department of Commerce, Bureau of the Census

Title of program: EQSYSTM Catalogue Id: AAQX_v1_0

Nature of problem This program is designed to operate on a system of equations, making user-specified substitutions and returning for each expression its partial derivatives with respect to a list of specified variables. The output expressions for the derivatives of each input expression, in the form of statements directly usable in other programs, are organized into an array with subscripts corresponding to the variables by which it was differentiated. Output in either PL/1, Fortran, or SAS syntax is available a ...

Versions of this program held in the CPC repository in Mendeley Data AAQX_v1_0; EQSYSTM; 10.1016/0010-4655(81)90085-0

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)