r - Defer code to END of document in knitr -


i trying write report in rmarkdown , use knitr generate pdf.

i want code pushed "end of document", while displaying results interweaved text. echo='hold' option doesn't this.

section of markdown file

generate data  ```{r chunk1,echo='hold',r.options=} num_seq<-rnorm(100,0.2) num_seq ```  further report mean of these numbers.    ```{r,echo='hold' } mean(num_seq) ```

i have tried read the relevant documentation found here http://yihui.name/knitr/options/, can't figure out how this.

i don't think echo='hold' option. regardless, trick use echo=false code included, , re-use same chunk name , use eval=false want code printed. (other options in both locations fine, these 2 minimum required.)

the following evaluates code (and optionally includes output it) chunk located, doesn't include code until specify.

# header 1  ```{r chunk1, echo=false} x <- 1 x + 5 ```  test.  ```{r chunk1, eval=false} ```

results in following markdown:

header 1 ========      ## [1] 6  test.      x <- 1     x + 5

edit: use in r markdown documents randomness: store random seed in beginning (whether set manually or store current random state later reproduction) , display in annex/appendix:

# header 1  ```{r setseed, echo=false, include=false} set.seed(seed <- sample(.machine$integer.max, size=1)) seed ```  test `r seed`.  # annex {-}  ```{r showsetseed, ref.label='setseed', eval=false} ```  ```{r printseed, echo=false} seed ```

this example doesn't include results original code chunk. unfortunately, results aren't stored, , if set eval=true when use same chunk name later, calculate , present different seed. that's why printseed block. reason explicitly "show" seed in first setseed block solely that, in annex, showsetseed , printseed chunks flow well. (otherwise, set.seed not return number, have looked wierd.)

btw: second example uses ref.label, yihui documents here more general approach chunk reuse.

btw #2: when said "store random state", that's not correct ... i'm storing randomly-generated seed. random state larger single integer, of course. don't want anger prng gods :-)


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