R knitr Markdown: Output Plots within For Loop

Wrap the qplot in print.

knitr will do that for you if the qplot is outside a loop, but (at least the version I have installed) doesn't detect this inside the loop (which is consistent with the behaviour of the R command line).

Wish to add a quick note:Somehow I googled the same question and get into this page.Now in 2018, just use print() in the loop.

for (i in 1:n){...    f <- ggplot(.......)    print(f)}

I am using child Rmd files in markdown, also works in sweave.

in Rmd use following snippet:

```{r run-numeric-md, include=FALSE}out = NULLfor (i in c(1:num_vars)) {  out = c(out, knit_child('da-numeric.Rmd'))}```

da-numeric.Rmd looks like:

Variabele `r num_var_names[i]`------------------------------------Missing :  `r sum(is.na(data[[num_var_names[i]]]))`  Minimum value : `r min(na.omit(data[[num_var_names[i]]]))`  Percentile 1 : `r quantile(na.omit(data[[num_var_names[i]]]),probs = seq(0, 1, 0.01))[2]`  Percentile 99 : `r quantile(na.omit(data[[num_var_names[i]]]),probs = seq(0, 1, 0.01))[100]`  Maximum value : `r max(na.omit(data[[num_var_names[i]]]))`  ```{r results='asis', comment="" }warn_extreme_values=3d1 = quantile(na.omit(data[[num_var_names[i]]]),probs = seq(0, 1, 0.01))[2] > warn_extreme_values*quantile(na.omit(data[[num_var_names[i]]]),probs = seq(0, 1, 0.01))[1]d99 = quantile(na.omit(data[[num_var_names[i]]]),probs = seq(0, 1, 0.01))[101] > warn_extreme_values*quantile(na.omit(data[[num_var_names[i]]]),probs = seq(0, 1, 0.01))[100]if(d1){cat('Warning : Suspect extreme values in left tail')}if(d99){cat('Warning : Suspect extreme values in right tail')}`````` {r eval=TRUE,  fig.width=6, fig.height=2}library(ggplot2)v <- num_var_names[i]hp <- ggplot(na.omit(data), aes_string(x=v)) + geom_histogram( colour="grey", fill="grey", binwidth=diff(range(na.omit(data[[v]]))/100))hp + theme(axis.title.x = element_blank(),axis.text.x = element_text(size=10)) + theme(axis.title.y = element_blank(),axis.text.y = element_text(size=10))```

see my datamineR package on githubhttps://github.com/hugokoopmans/dataMineR