# Adds zeros for catches of species not collected in some sampling events. Adds zeros for catches of species that were not captured in a sampling event but were captured in at least one other sampling event (i.e., adds zeros to the data.frame for capture events where a species was not observed). ```r addZeroCatch(df, eventvar, specvar, zerovar, na.rm = TRUE) ``` ## Arguments - `df`: A data.frame that contains the capture summary data as described in the details. - `eventvar`: A string for the variable that identifies unique capture events. - `specvar`: A string or vector of strings for the variable(s) that identify the species (if multiple variables, could be species, sex, and life stage, for example) captured. See examples. - `zerovar`: A string or vector of strings for the variable(s) that should be set equal to zero. See details and examples. - `na.rm`: A logical that indicates if rows where `specvar` that are `NA` should be removed after adding the zeros. See details. ## Returns A data.frame with the same structure as `df` but with rows of zero observation data appended. ## Details The data.frame in `df` must contain a column that identifies a unique capture event (given in `eventvar`), a column with the name for the species captured (given in `specvar`), and a column that contains the number of that species captured (potentially given to `zerovar`; see details). All sampling event and species combinations where catch information does not exist is identified and a new data.frame that contains a zero for the catch for all of these combinations is created. This new data.frame is appended to the original data.frame to construct a data.frame that contains complete catch information -- i.e., including zeros for species in events where that species was not captured. The data.frame may contain other information related to the catch, such as number of recaptured fish, number of fish released, etc. These additional variables can be included in `zerovar` so that zeros will be added to these variables as well (e.g., if the catch of the species is zero, then the number of recaptures must also be zero). All variables not given in `eventvar`, `specvar`, or `zerovar` will be assumed to be related to `eventvar` and `specvar` (e.g., date, gear type, and habitat) and, thus, will be repeated with these variables. In situations where no fish were captured in some events, the `df` may contain rows that have a value for `eventvar` but not for `specvar`. These rows are important because zeros need to be added for each observed species for these events. However, in these situations, a `` species will appear in the resulting data.frame. It is unlikely that these missing species are needed so they will be removed if `na.rm=TRUE` (DEFAULT) is used. One should test the results of this function by creating a frequency table of the `eventvar` or `specvar`. In either case, the table should contain the same value in each cell of the table. See the examples. ## Note An error will be returned if either `specvar` or `eventvar` are factors with any `NA` levels. This usually arises if the data.frame was subsetted/filtered prior to using `addZeroCatch`. See `droplevels` for descriptions of how to drop unused levels. ## IFAR Chapter 2-Basic Data Manipulations ## Examples ```r ## Example Data #1 (some nets missing some fish, ancillary net data) df1 <- data.frame(net=c(1,1,1,2,2,3), eff=c(1,1,1,1,1,1), species=c("BKT","LKT","RBT","BKT","LKT","RBT"), catch=c(3,4,5,5,4,3)) df1 # not all 1s xtabs(~net+species,data=df1) df1mod1 <- addZeroCatch(df1,"net","species",zerovar="catch") df1mod1 # check, should all be 3 xtabs(~net,data=df1mod1) # check, should all be 1 xtabs(~net+species,data=df1mod1) # correct mean/sd of catches Summarize(catch~species,data=df1mod1) # incorrect mean/sd of catches (no zeros) Summarize(catch~species,data=df1) # Same as example 1 but with no ancillary data specific to the net number df2 <- df1[,-2] df2 df1mod2 <- addZeroCatch(df2,"net","species",zerovar="catch") df1mod2 # check, should all be 1 xtabs(~net+species,data=df1mod2) ## Example Data #3 (All nets have same species ... no zeros needed) df3 <- data.frame(net=c(1,1,1,2,2,2,3,3,3), eff=c(1,1,1,1,1,1,1,1,1), species=c("BKT","LKT","RBT","BKT","LKT", "RBT","BKT","LKT","RBT"), catch=c(3,4,5,5,4,3,3,2,7)) df3 # should all be 1 for this example xtabs(~net+species,data=df3) # should receive a warning and table should still all be 1 df3mod1 <- addZeroCatch(df3,"net","species",zerovar="catch") xtabs(~net+species,data=df3mod1) ## Example Data #4 (another variable that needs zeros) df4 <- df1 df4$recaps <- c(0,0,0,1,2,1) df4 # not all 1s xtabs(~net+species,data=df4) df4mod1 <- addZeroCatch(df4,"net","species",zerovar=c("catch","recaps")) # note zeros in both variables df4mod1 # check, should all be 1 xtabs(~net+species,data=df4mod1) # observe difference from next Summarize(catch~species,data=df4) Summarize(catch~species,data=df4mod1) # observe difference from next Summarize(recaps~species,data=df4) Summarize(recaps~species,data=df4mod1) ## Example Data #5 (two "specvar"s) df5 <- df1 df5$sex <- c("m","m","f","m","f","f") df5 # not all 1s xtabs(~sex+species+net,data=df5) df5mod1 <- addZeroCatch(df5,"net",c("species","sex"),zerovar="catch") df5mod1 # all 1s xtabs(~sex+species+net,data=df5mod1) str(df5mod1) ## Example Data #6 (three "specvar"s) df6 <- df5 df6$size <- c("lrg","lrg","lrg","sm","lrg","sm") df6 df6mod1 <- addZeroCatch(df6,"net",c("species","sex","size"),zerovar="catch") df6mod1 ``` ## References Ogle, D.H. 2016. [Introductory Fisheries Analyses with R](https://fishr-core-team.github.io/fishR/pages/books.html#introductory-fisheries-analyses-with-r). Chapman & Hall/CRC, Boca Raton, FL. ## See Also `complete` in `tidyr` package. ## Author(s) Derek H. Ogle, DerekOgle51@gmail.com

addZeroCatch function