## ----setup, include = FALSE---------------------------------------------------
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

## ----initialize,echo=TRUE-----------------------------------------------------
library(baytrends)

## ----usgsgages, echo=FALSE, results='asis'------------------------------------
.T("Chesapeake Bay River Input Monitoring Stations",1,'e')
knitr::kable(usgsGages)

## ----flow, eval=FALSE, results='asis', fig.height=6.5, fig.width=6.5----------
# library(baytrends)
# # Define Function Inputs
# usgsGageID    <- usgsGages$usgsGageID # all RIM stations
# siteName      <- usgsGages$siteName   # all RIM stations
# yearStart     <- 1983
# yearEnd       <- 2017
# dvAvgWinSel   <- c(1, 5, 10, 15, 20, 30, 40, 50, 60, 90, 120, 150, 180, 210)
# dvAvgWgtSel   <- "uniform"
# dvAvgSidesSel <- 1
# lowess.f      <- 0.2
# 
# # Run detrended.flow function
# flow.detrended <- detrended.flow(usgsGageID, siteName, yearStart, yearEnd
#                                  , dvAvgWinSel, dvAvgWgtSel, dvAvgSidesSel
#                                  , lowess.f)
# 
# # Save list to data file separate use
# save(flow.detrended, file='mySeasonallyDetrendedFlow.rda')

## ----flow1, eval=TRUE, echo=FALSE, results='asis', fig.height=4.5, fig.width=6.5----

# Define Function Inputs
usgsGageID    <- c("USGS-01578310")
siteName      <- c("Susquehanna River at Conowingo, MD")
yearStart     <- 2003 #1983
yearEnd       <- 2017
dvAvgWinSel   <- c(1, 10)
dvAvgWgtSel   <- "uniform"
dvAvgSidesSel <- 1
lowess.f      <- 0.2

# Run detrended.flow function
flow.detrended <- detrended.flow(usgsGageID, siteName, yearStart, yearEnd
                                 , dvAvgWinSel, dvAvgWgtSel, dvAvgSidesSel
                                 , lowess.f)

## ----salinity0, echo=FALSE, results='asis'------------------------------------
.T("Example Salinity Data",2,'e')
knitr::kable(head(sal[sal$layer %in% c('S', 'B') , ]),row.names = FALSE)

.T("Data Structure Associated with sal",3,'e')

## ----salinity1, echo=FALSE, results='markup'----------------------------------
str(sal)

## ----salinity2, eval=FALSE, results='asis', fig.height=6.5, fig.width=6.5-----
# 
# # Define Function Inputs
# df.sal      <- sal
# dvAvgWinSel <- 30
# lowess.f    <- 0.2
# minObs      <- 40
# minObs.sd   <- 10
# 
# # Run Function
# salinity.detrended <- detrended.salinity(df.sal, dvAvgWinSel,
#                                  lowess.f, minObs, minObs.sd)
# 
# # Save list to data file separate use
# save(salinity.detrended, file='mySeasonallyDetrendedSalinity.rda')

## ----salinity3, eval=TRUE, echo=FALSE, results='asis', fig.height=4.5, fig.width=6.5----
# Define Function Inputs
df.sal      <- sal[sal$station=="CB5.4", ]
dvAvgWinSel <- 30
lowess.f    <- 0.2
minObs      <- 40
minObs.sd   <- 10
                 
# Run Function
salinity.detrended <- detrended.salinity(df.sal, dvAvgWinSel, lowess.f, minObs, minObs.sd) 

## ----gamTrendExample, eval=TRUE, results='asis', fig.height=3.5, fig.width=6.5----

dfr       <- analysisOrganizeData(dataCensored, reports = NA)
df        <- dfr[["df"]]
analySpec <- dfr[["analySpec"]]

# down select analyzed GAM
analySpec$gamModels <- analySpec$gamModels[5]

stat = 'CB5.4'; dep = 'tn'; layer = 'S';
gamResult <- gamTest(df = df, dep = dep, stat = stat, layer = layer
                     , analySpec = analySpec
                     , salinity.detrended = salinity.detrended)


