README Analyses presented in the article “Period measures of life course complexity” were performed on data for which access is strictly regulated. The supplementary materials allow to apply the methods shown in the article using artificial data. Based on these, figures and tables similar to Figure 1 and Tables 1 to 3 in the paper can be reproduced, although they will necessarily contain different values. Additional results based on the original data are supplied, which allow to estimate values of complexity for any combination of age, period, cohort covered by the data. Information about how to apply for the same data in order to reproduce the same analyses is also provided. Overview of content of the file supplementarymaterials - Code-replicability. R script containing the code used to perform the analyses. Contains two parts. The first one creates the data. The second one performs the calculations and shows the results. The second part can be used on own data to perform new analyses. Own data must have the same format as the data that is created in the first part of the script. - results-alternateupperage. Excel document showing tables with results of NDS and ANV based on different upper age threshold, for cohorts and periods. - fullresults. Excel document showing the values of ANDS and AANV for each combination of age, period and cohort covered by the data used in the analyses. Based on these, it is possible to compute the values of ANDS and AANV from either the cohort or period perspective taking any upper age threshold. - LexisANV. Tiff file showing in the lexis diagram values of AANV for each combination of age, period and cohort covered by the data used in the analyses. - LexisNDS. Tiff file showing in the lexis diagram values of ANDS for each combination of age, period and cohort covered by the data used in the analyses. - basicInformationAboutData. Description of how to obtain access to the data and a list of all the variables that were used for the analyses. Following the steps described in this document and applying the R code “code-replicability” allows to reproduce the results shown in the article. System and session information R version 4.1.0 (2021-05-18) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 10 x64 (build 18363) Matrix products: default locale: [1] LC_COLLATE=Dutch_Netherlands.1252 LC_CTYPE=Dutch_Netherlands.1252 [3] LC_MONETARY=Dutch_Netherlands.1252 LC_NUMERIC=C [5] LC_TIME=Dutch_Netherlands.1252 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] dplyr_1.0.6 loaded via a namespace (and not attached): [1] fansi_0.4.2 utf8_1.2.1 crayon_1.4.1 R6_2.5.0 lifecycle_1.0.0 [6] magrittr_2.0.1 pillar_1.6.1 rlang_0.4.11 vctrs_0.3.8 generics_0.1.0 [11] ellipsis_0.3.2 tools_4.1.0 glue_1.4.2 purrr_0.3.4 compiler_4.1.0 [16] pkgconfig_2.0.3 tidyselect_1.1.1 tibble_3.1.2