Issues with tibbles and `backCalc()`

[droglenc]

backCalc() fails when the data is a tibble because the following lines return a one-column data.frame on tibbles but a vector on regular data.frames. This can be corrected by converting the tibble to a data.frame with as.data.frame() but I need to find a more robust answer. Another possible solution, but I need to research this more, is to add drop=TRUE to the following lines in backCalc().

regLcap <- regdat[,rlang::quo_name(rlang::enquo(lencap))]
Lcap <- dat[,rlang::quo_name(rlang::enquo(lencap))]

[droglenc]

See this ...

library(tibble)

( dft <- tibble(id=1:10,x=rnorm(10)) )
( df <- as.data.frame(dft) )

dft[,"x"]
df[,"x"]
df[,"x",drop=FALSE]
dft[,"x",drop=FALSE]
df[,"x",drop=TRUE]
dft[,"x",drop=TRUE]

[droglenc]

Use this is a test (seems to work properly for versions >0.2.0

data(SMBassWB2,package="RFishBC")
data(SMBassWB1,package="RFishBC")

smb1 <- inner_join(SMBassWB1,SMBassWB2,by="id") %>%
  arrange(id)
smb2 <- as_tibble(smb1)
str(smb1)
str(smb2)

smb1_FL <- backCalc(smb1,lencap,BCM="FRALE",inFormat="wide",digits=0)
smb2_FL <- backCalc(smb2,lencap,BCM="FRALE",inFormat="wide",digits=0)
str(smb1_FL)
str(smb2_FL)

[droglenc]

Is fixed in versions >0.2.0