I create a data frame, then, using package surveillance version 1.3, I convert it to a surveillance time series (sts) object and then to a disProg object. But in the plot of the disProg object, the dates seem to be mislabelled?
Grateful for any advice. --Chris Ryan Broome County Health Department Binghamton, NY Below is MWE to reproduce the behavior library(surveillance) ll <- data.frame(onset = sample(1:200, size = 400, replace = TRUE)) ## let the dates begin in mid-September 2012 ll$onset.date <- as.Date("2012-09-15") + ll$onset dd.sts <- linelist2sts(ll, dateCol="onset.date", aggregate.by="1 week") ## the below command produces a plot where the horizontal (time) axis begins around mid-September 2012, as expected plot(dd.sts) ## now convert the sts object to a disProg object dd.dp <- sts2disProg(dd.sts) ## the below commands shows the start date of the disProg object seems as expected str(dd.dp) dd.dp$start ## But when I plot the disProg object, the horizontal axis is labelled differently. ## It seems to begin back in 2011 or before plot(dd.dp) ## here is my sessionInfo R version 3.3.1 (2016-06-21) Platform: i386-w64-mingw32/i386 (32-bit) Running under: Windows 7 (build 7601) Service Pack 1 locale: [1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 [3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C [5] LC_TIME=English_United States.1252 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] surveillance_1.13.0 polyCub_0.5-2 xtable_1.8-2 sp_1.2-4 loaded via a namespace (and not attached): [1] Rcpp_0.12.8 lattice_0.20-34 deldir_0.1-12 MASS_7.3-45 grid_3.3.1 nlme_3.1-128 [7] tensor_1.5 spatstat_1.48-0 goftest_1.0-3 rpart_4.1-10 Matrix_1.2-7.1 tools_3.3.1 [13] polyclip_1.5-6 abind_1.4-5 mgcv_1.8-16 [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.