Knitr Rmarkdown error object not found (from a previous question)

[ogorodriguez]

@ jhodzic

Could you please show where you replaced eval = FALSE, with results = "hide"? Could you put that code snippet for us to test? Link to post here:

knitting issue; object not found

I am writing a stats assignment in rmarkdown. It all runs fine except when I try to knit it, I get an error that an object that I defined in a prior chunk is not found. I've read a lot about this and tried some solutions but I still cannot get it to work. Here is the code: library(vegan) library(magrittr) library(labdsv) # Load data Oak <- read.csv("Oak_data_47x216.csv", header = TRUE, row.names = 1) Oak_spp <- read.csv("Oak_species_189x5.csv", header = TRUE) ## subset data ; all plots with elevation > 100 # subset explanatory and response variables Oak.JH <- Oak[Oak$Elev.m > 100, ] nrow(Oak.JH)/nrow(Oak) ## 75% of the plots Oak.JH.abund<-Oak.JH[, colnames(Oak) %in% Oak_spp$Specie…

Thanks in advance.

[technocrat]

It's hard to trouble shoot this without a reproducible example, called a reprex and, in this case, a clearer description of the output you're looking for.

Taking a wild guess:

```{r, results="asis", echo = FALSE, warning=FALSE}
    Oak <- iris
    Oak.JH <- mtcars
``` 

`r nrow(Oak)/nrow(Oak.JH)`

should output 4.6875

[ogorodriguez]

Thanks a lot for your prompt reply.