## ---- include = FALSE--------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>", warning = FALSE, message = FALSE ) ## ---- eval = FALSE------------------------------------------------------------ # vignette("start-here", "spsurvey") ## ----------------------------------------------------------------------------- library(spsurvey) ## ----------------------------------------------------------------------------- cat_ests <- cat_analysis( NLA_PNW, siteID = "SITE_ID", vars = "NITR_COND", weight = "WEIGHT" ) cat_ests ## ----------------------------------------------------------------------------- cat_ests_sp <- cat_analysis( NLA_PNW, siteID = "SITE_ID", vars = "NITR_COND", weight = "WEIGHT", subpop = "STATE" ) cat_ests_sp ## ----------------------------------------------------------------------------- cat_ests_sp <- cat_analysis( NLA_PNW, siteID = "SITE_ID", vars = "NITR_COND", weight = "WEIGHT", subpop = "STATE", All_Sites = TRUE ) cat_ests_sp ## ----------------------------------------------------------------------------- strat_cat_ests <- cat_analysis( NLA_PNW, siteID = "SITE_ID", vars = "NITR_COND", weight = "WEIGHT", stratumID = "URBAN" ) strat_cat_ests ## ----------------------------------------------------------------------------- strat_cat_ests_sp <- cat_analysis( NLA_PNW, siteID = "SITE_ID", vars = "NITR_COND", weight = "WEIGHT", stratumID = "URBAN", subpop = "STATE" ) strat_cat_ests_sp ## ----------------------------------------------------------------------------- cont_ests <- cont_analysis( NLA_PNW, siteID = "SITE_ID", vars = "BMMI", weight = "WEIGHT" ) ## ----------------------------------------------------------------------------- cont_ests$Mean ## ---- eval = FALSE------------------------------------------------------------ # cont_ests$CDF # cont_ests$Pct ## ----------------------------------------------------------------------------- plot(cont_ests$CDF) ## ----------------------------------------------------------------------------- cont_ests_sp <- cont_analysis( NLA_PNW, siteID = "SITE_ID", vars = "BMMI", weight = "WEIGHT", subpop = "STATE" ) ## ----------------------------------------------------------------------------- cont_ests_sp$Mean ## ----------------------------------------------------------------------------- strat_cont_ests <- cont_analysis( NLA_PNW, siteID = "SITE_ID", vars = "BMMI", weight = "WEIGHT", stratumID = "URBAN" ) ## ----------------------------------------------------------------------------- strat_cont_ests$Mean ## ----------------------------------------------------------------------------- strat_cont_ests_sp <- cont_analysis( NLA_PNW, siteID = "SITE_ID", vars = "BMMI", weight = "WEIGHT", stratumID = "URBAN", subpop = "STATE", ) ## ----------------------------------------------------------------------------- strat_cont_ests_sp$Mean ## ----------------------------------------------------------------------------- attrisk_ests <- attrisk_analysis( NLA_PNW, siteID = "SITE_ID", vars_response = "BMMI_COND", vars_stressor = "PHOS_COND", weight = "WEIGHT" ) attrisk_ests ## ----------------------------------------------------------------------------- relrisk_ests <- relrisk_analysis( NLA_PNW, siteID = "SITE_ID", vars_response = "BMMI_COND", vars_stressor = "PHOS_COND", weight = "WEIGHT" ) relrisk_ests ## ----------------------------------------------------------------------------- diffrisk_ests <- diffrisk_analysis( NLA_PNW, siteID = "SITE_ID", vars_response = "BMMI_COND", vars_stressor = "PHOS_COND", weight = "WEIGHT" ) diffrisk_ests ## ----------------------------------------------------------------------------- change_ests <- change_analysis( NRSA_EPA7, siteID = "SITE_ID", vars_cont = "BMMI", vars_cat = "NITR_COND", surveyID = "YEAR", weight = "WEIGHT" ) ## ----------------------------------------------------------------------------- change_ests$catsum ## ----------------------------------------------------------------------------- change_ests$contsum_mean