Dataset and R.code: "Sickness effects on social interactions depend on the type of behaviour and relationship"

(1) Dataset "rates_LPS_trials_treatment"
date <- Date of the respective trialtrial <- Trial number, each subject went through 2 trials (LPS and PBS) in randomized ordersubject <- The bat removed, injected, and then reintroduced back in the colony cage. The focal subject.actor <- The actor of a social behavior (foodsharing or allogrooming)receiver <- The receiver of a social behavior (foodsharing or allogrooming)kinship <- pairwise maximum likelihood estimate between actor and receiverbehav <- measured social behavior (allogrooming or food sharing)rate <- the rate/h observation in secondsactor.is.mom <- if TRUE, actor in the social interaction is mother to the receiverreceiver.is.mom <- if TRUE, receiver in the social interaction is mother to the actortreatment <- Experimental treatment before reintroduction into the cage, refers to treatment of the subject (see above). PBS is control, LPS causes sickness behaviors.order <- treatment order (LPS first vs. PBS first)experiment.round <- First and second experimental round where bats were injected either with LPS or PBS.
(2) Dataset "foodsharing_weights"
subject.x <- subject of experiment (see dataset above)trial <- trial number (see above)treatment <- PBS (control) or LPS, see above for descriptionsum <- sum of food donations received in secondsprefast.mass <- mass of bat when removed from the cage (22-24 hours before reintroduction)mass.in <- mass right before the bat was released into the cage after fasting trialmass.out <- mass when bat was removed from the cage after 1 hour focal observationmass.change <- mass change (mass.out - mass.in)pre.injection.mass <- body mass 5 hours before reintroduction into the cage and right before injection of LPS or PBS.
(3) LPS_Social_network_analysis
R-Code includes analysis which are presented in the manuscript:"Effects of sickness and social networks depend on the type of behavior, measure, and relationship"