I am new to knitr and markdown and this is my first question asked. Maybe this question has a simple answer that I just can't find.
I have a for-loop, which creates 3 ggplots. The loop runs 300 to 400 times depending on the data input. I want to define the size of these 3 pictures as:
1st picture: width = 7, height = 3
2nd picture: width = 7, height = 3
3nd picture: width = 7, height = 12
So far I am using the following code:
```{r calc, echo=FALSE, warning=FALSE, message=FALSE, results='asis', fig.show='asis',fig.height=3}
for(x.PS in 1:length(trace.input))
{
# some data transformation by self-written functions
# create and save plot for the normalised version
ggp.PS.norm <- ggplot(print.PS.norm, aes(x = Time, y = Voltage, col = Pulse))
fig.PS.norm <- ggp.PS.norm + geom_line()
# create and save plot for the modified version
ggp.PS.smooth <- ggplot(print.PS.smooth, aes(x = Time, y = Voltage, col = Pulse))
fig.PS.smooth <- ggp.PS.smooth + geom_line()
# create and save plot for the modified version as facet grid
fig.PS.smooth.single <- ggp.PS.smooth + geom_line() + facet_grid(FigCol ~ FigRow)
print(fig.PS.norm)
print(fig.PS.smooth)
print(fig.PS.smooth.single)
}
```
In the end I hope to get one big PDF-file with 3 x 300 to 400 pictures
I hope this code is understandable even without any hard data.
best paj
I don't know if this is kosher but here is one approach:
adapted from here
I'm using rmarkdown since that is what your question is in, but this could be adapted to latex
---
output:
html_document:
css: ~/knitr.css
---
```{r, include=FALSE}
library(knitr)
opts_knit$set(progress = FALSE, verbose = FALSE)
opts_chunk$set(warning=FALSE, message=FALSE, echo=FALSE)
## this function is basically creating chunks within chunks, and then
## I use results='asis' so that the html image code is rendered
kexpand <- function(ht, cap) {
cat(knit(text = knit_expand(text =
sprintf("```{r %s, fig.height=%s, fig.cap='%s'}\n.pl\n```", cap, ht, cap)
)))}
library(ggplot2)
```
```{r, results='asis', fig.width=7}
for (ii in 1:2) {
## do some stuff
cat('<br />')
cat(paste0('Page', ii))
## all plots should be saved as .p1 and then use kexpand
.pl <- qplot(mpg, wt, data=mtcars)
kexpand(3, 'fig1')
.pl <- qplot(mpg, wt, data=mtcars, colour=cyl)
kexpand(3, 'fig2')
.pl <- qplot(mpg, wt, data=mtcars, size=cyl)
kexpand(7, 'fig3')
cat('<br /><br />')
}
```
And this is my output
you can print in a viewport of a specific size,
library(grid)
print_size = function(p, width=7, height=3)
print(p, vp=viewport(width=unit(width,"inch"), height=unit(height, "in")))
for(ii in 1:3)
print_size(qplot(1,1), height = c(3,3,12)[ii])
My own solution in the end:
At some point I call this chunk below in my parent script
<<test_child,results='asis'>>=
knit.out <- NULL
for(x.PS in 1:length(trace.input)) {
knit.out <- c(knit.out,
knit_child("rawCAP_child_0-2.Rnw",
quiet = TRUE,
envir = globalenv()
)
)
}
cat(paste(knit.out, collapse = '\n'))
@
The child script does some calculations and creates the figures like this
<<,echo=FALSE>>=
# some functions creating the figures, for example the one below
ggp.PS.smooth <- ggplot(print.PS.smooth, aes(x = Time, y = Voltage, col = Pulse))
fig.PS.smooth <- ggp.PS.smooth +
geom_line() +
scale_x_continuous(
limits = c(len.1,len.total)
) +
scale_y_continuous(
limits = c(-4,4)
) +
labs(
#title = "Data smoothed by a value of XX",
x = "Time [sec.]",
y = "Voltage [mV]")
@
These chunks print the figures with different heights, there is one table too.
<<,fig.height=2,fig.width=7,fig.align='center'>>=
print(fig.PS.smooth)
@
<<,echo=FALSE,results='asis',fig.align='center'>>=
xtable(table.PS.CAP.stat[c(2:5,13:16)],
caption = "Statistics about all Pulses")
@
<<,fig.height=3,fig.width=7,fig.align='center'>>=
print(fig.PS.CAP)
@
<<,fig.height=12,fig.width=7,fig.align='center'>>=
print(fig.PS.smooth.single)
@
I am very happy with this solution, cause you can set almost everything without a workaround
For further help please look at Yihui's page, especially look here and maybe also here (this is stackoverflow). Yihui seems to be on stackoverflow too.
Best paj