| report_mig-class | R Documentation |
This class performs a migration summary. A migration monitoring operation can correspond to a single horodate (in the case of some video monitoring operation) or comprise a period which does not necessarily span a full day. The daily migration is calculated by splitting the operation between days, and the migration is either grouped or split according to the lenth of the different time spans.
dcObject of class ref_dc-class: the control device
taxaObject of class ref_taxa-class: the species
stageObject of class ref_stage-class : the stage of the fish
timestepObject of class ref_timestep_daily-class : the time step constrained to daily value and 365 days
dataObject of class data.frame with data filled in from the connect method
calcdataA "list" of calculated daily data, one per dc, filled in by the calcule method
coef_conversionA data.frame of daily weight to number conversion coefficients, filled in by the connect method if any weight are found in the data slot.
time.sequenceObject of class POSIXct : a time sequence of days generated by the calcule method
In practise, the report_mig class uses methods (calcule, connect...) from the more elaborate report_mig_mult-class
Cedric Briand cedric.briand@eptb-vilaine.fr
Other report Objects:
report_annual-class,
report_dc-class,
report_df-class,
report_env-class,
report_ge_weight-class,
report_mig_char-class,
report_mig_env-class,
report_mig_interannual-class,
report_mig_mult-class,
report_sample_char-class,
report_sea_age-class,
report_silver_eel-class,
report_species-class
stacomi(database_expected=FALSE)
# If you have a working database
# the following line of code will create the r_mig dataset from the iav (default)
# schema in the database
## Not run:
stacomi(database_expected=TRUE)
if (interactive()){
if (!exists("user")){
user <- readline(prompt="Enter user: ")
password <- readline(prompt="Enter password: ")
}
}
options(
stacomiR.dbname = "bd_contmig_nat",
stacomiR.host ="localhost",
stacomiR.port = "5432",
stacomiR.user = user,
stacomiR.user = password
)
stacomi(
database_expected=TRUE)
r_mig=new("report_mig")
r_mig=choice_c(r_mig,
dc=5,
taxa=c("Liza ramada"),
stage=c("IND"),
datedebut="2015-01-01",
datefin="2015-12-31")
r_mig<-charge(r_mig)
# launching charge will also load classes associated with the report
# e.g. report_ope, report_df, report_dc
r_mig<-connect(r_mig)
########################
# calculations
########################
r_mig<-calcule(r_mig,silent=TRUE)
## End(Not run)
########################
# loading data
## use the following to get the raw data loaded by the connect method
# not shown there as the database and program might not be installed
# All three classes report... were created by the charge and connect method
# of report_mig_mult
# in the previous example
################################
data("r_mig")
data("r_mig_ope")
assign("report_ope",r_mig_ope,envir=envir_stacomi)
data("r_mig_df")
assign("report_df",r_mig_df,envir=envir_stacomi)
data("r_mig_dc")
assign("report_dc",r_mig_dc,envir=envir_stacomi)
#Individual plot for all DC (standard), taxa and stage where data present
#silent argument to stop all messages
plot(r_mig,plot.type="standard",silent=TRUE)
#cumulated migration at the station (all stages and DC grouped)
plot(r_mig,plot.type="step")
# data will be written in the data directory specified in datawd argument to stacomi default "~"
#file
## Not run:
summary(r_mig,silent=TRUE)
## End(Not run)
# this will write the daily report for later in in the reportnMigrationInterannuelle-class
## Not run:
write_database(r_mig,silent=TRUE,dbname="bd_contmig_nat",host="localhost",port=5432)
## End(Not run)
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