## ----setup, include=FALSE-----------------------------------------------------
knitr::opts_chunk$set(
    echo = TRUE,
    fig.width = 6,
    fig.asp = 0.7
)


## -----------------------------------------------------------------------------
library("sftrack")
data("raccoon", package = "sftrack")
#raccoon <- read.csv(system.file("extdata/raccoon_data.csv", package="sftrack"))
group_list <- list(id = raccoon$animal_id, month = as.POSIXlt(raccoon$timestamp)$mon + 1)

cg1 <- make_c_grouping(x = group_list, active_group = c("id", "month"))
str(cg1)
cg1[[1]]

## -----------------------------------------------------------------------------

singlegroup <- make_s_group(list(id = "TTP_058", month = 4))
str(singlegroup)

## -----------------------------------------------------------------------------
singlegroup 
singlegroup[1] <- "CJ15"
singlegroup$month <- "5"
str(singlegroup)

## -----------------------------------------------------------------------------
group_list <- list(id = rep(1:2, 10), year = rep(2020, 10))
cg <- make_c_grouping(x = group_list, active_group = c("id", "year"))
str(cg)

## -----------------------------------------------------------------------------
a <- make_s_group(list(id = 1, year = 2020))
b <- make_s_group(list(id = 1, year = 2021))
c <- make_s_group(list(id = 2, year = 2020))
cg <- c(a, b , c)

summary(cg)

## -----------------------------------------------------------------------------
cg_combine <- c(cg,cg)
summary(cg_combine)

## -----------------------------------------------------------------------------
cg[1]
cg[1] <- make_s_group(list(id = 3, year = 2019))
cg[1]


## -----------------------------------------------------------------------------
# Try to add an s_group with a month field when the original group had year instead 
try( cg[1] <- make_s_group(list(id = 3, month = 2019)) )

## -----------------------------------------------------------------------------
group_list <- list(id = rep(1:2, 10), year = rep(2020, 10))
cg <- make_c_grouping(x = group_list, active_group = c("id", "year"))
group_labels(cg)[1:10]

# Subsetting a particular sensor from our raccoon data

data("raccoon", package = "sftrack")
raccoon$month <- as.POSIXlt(raccoon$timestamp)$mon + 1

raccoon$time <- as.POSIXct(raccoon$timestamp, tz = "EST")
coords <- c("longitude","latitude")
group <- list(id = raccoon$animal_id, month = as.POSIXlt(raccoon$timestamp)$mon+1)
time <- "time"

my_sftraj <- as_sftraj(data = raccoon, coords = coords, group = group, time = time)
head(my_sftraj[group_labels(my_sftraj) %in% c("TTP-058_1"), ])


## -----------------------------------------------------------------------------
head(cg["1_2020"])

sub <- my_sftraj["TTP-058_1", ]
print(sub, 5, 3)

## -----------------------------------------------------------------------------
group_names(cg)

## -----------------------------------------------------------------------------
# sftrack
active_group(my_sftraj)
summary(my_sftraj, stats = TRUE)

# change the active group to id only
active_group(my_sftraj) <- c("id")
active_group(my_sftraj)

summary(my_sftraj, stats = TRUE)

# column groupings work the same way
active_group(cg)
active_group(cg) <- "id"
active_group(cg)