Hi Yihui,

The package I have installed is "knitr". To generate the HTML, I run Knit
HTML from within R Studio version .98.490 (there's an icon to initiate it.

Here's a simple example:
showcode <- FALSE
commentchar <- NA

You can load this data as 'mydf'...
dput(mydf)
structure(list(PERSONPROFILE_POS = "DV", PARTY_ID = 95252415L,
    PERSON_FIRST_NAME = "Julie", PERSON_LAST_NAME = "herlastname",
PERSON_MIDDLE_NAME = NA_character_,
    PARTY_NUMBER = 49229698L, ACCOUNT_NUMBER = 104205066L, ABILITEC_LINK =
254555555695,
    ADDRESS1 = "332 SE SOME RD", ADDRESS2 = NA_character_,
    ADDRESS3 = NA_character_, ADDRESS4 = NA_character_, CITY = "SOMECITY",
    COUNTY = "SOMECOUNTY", STATE = "OR", PROVINCE = NA_character_,
    POSTAL_CODE = "97111-1111", COUNTRY = "US", PRIMARY_PER_TYPE = "N",
    SELLTOADDR_LOS = "DV", LOCATION_ID = 6222438L, SELLTOADDR_SOS = "DV",
    PARTY_SITE_ID = 7292226L, PRIMARYPHONE_CPOS = "DV",
CONTACT_POINT_ID_PCP = 62243903L,
    CONTACT_POINT_PURPOSE_PCP = "PERSONAL", PHONE_LINE_TYPE = "GEN",
    PRIMARY_FLAG_PCP = "Y", PHONE_COUNTRY_CODE = NA_integer_,
    PHONE_AREA_CODE = "244", PHONE_NUMBER = "2444444", EMAIL_CPOS = "DV",
    CONTACT_POINT_ID_ECP = 62222202L, CONTACT_POINT_PURPOSE_ECP =
NA_character_,
    PRIMARY_FLAG_ECP = "Y", EMAIL_ADDRESS = "someemail@yahoo.com",
    BB_PARTY_ID = NA, VALID_COUNTRY = TRUE, VALID_USSTATE = TRUE,
    POSTAL_PATTERN = "99999-9999", VALID_USPP = TRUE, FULL_PHONE =
"2442444444",
    FULL_PHONE_PATTERN = "NA9999999999", FNAME_PATTERN = "AAAAA",
    FNAME_LENGTH = 5L, FNAME_TOKEN_COUNT = 1L, LNAME_LENGTH = 4L,
    LNAME_PATTERN = "AAAA", MNAME_LENGTH = 2L, MNAME_PATTERN =
NA_character_,
    MNAME_TOKEN_COUNT = 1L, LNAME_TOKEN_COUNT = 1L, EMAIL_LENGTH = 19L,
    VALID_EMAIL = TRUE), .Names = c("PERSONPROFILE_POS", "PARTY_ID",
"PERSON_FIRST_NAME", "PERSON_LAST_NAME", "PERSON_MIDDLE_NAME",
"PARTY_NUMBER", "ACCOUNT_NUMBER", "ABILITEC_LINK", "ADDRESS1",
"ADDRESS2", "ADDRESS3", "ADDRESS4", "CITY", "COUNTY", "STATE",
"PROVINCE", "POSTAL_CODE", "COUNTRY", "PRIMARY_PER_TYPE", "SELLTOADDR_LOS",
"LOCATION_ID", "SELLTOADDR_SOS", "PARTY_SITE_ID", "PRIMARYPHONE_CPOS",
"CONTACT_POINT_ID_PCP", "CONTACT_POINT_PURPOSE_PCP", "PHONE_LINE_TYPE",
"PRIMARY_FLAG_PCP", "PHONE_COUNTRY_CODE", "PHONE_AREA_CODE",
"PHONE_NUMBER", "EMAIL_CPOS", "CONTACT_POINT_ID_ECP",
"CONTACT_POINT_PURPOSE_ECP",
"PRIMARY_FLAG_ECP", "EMAIL_ADDRESS", "BB_PARTY_ID", "VALID_COUNTRY",
"VALID_USSTATE", "POSTAL_PATTERN", "VALID_USPP", "FULL_PHONE",
"FULL_PHONE_PATTERN", "FNAME_PATTERN", "FNAME_LENGTH", "FNAME_TOKEN_COUNT",
"LNAME_LENGTH", "LNAME_PATTERN", "MNAME_LENGTH", "MNAME_PATTERN",
"MNAME_TOKEN_COUNT", "LNAME_TOKEN_COUNT", "EMAIL_LENGTH", "VALID_EMAIL"
), row.names = 1L, class = "data.frame")

You can load that dataset, then:
Print the column names
```{r, echo=showcode, comment=commentchar}
colnames(mydf)
```
The resulting font is a couple of points larger than I'd like. I'd like to
be able to control this either globally or at the code chunk level.

Thanks for your help with this!


On Wed, Jan 29, 2014 at 5:57 PM, Yihui Xie <xie@yihui.name> wrote:

> Please provide a minimal example -- are you using R Markdown or R
> HTML? Both can produce HTML output:
> http://yihui.name/knitr/demo/minimal/
>
> Regards,
> Yihui
> --
> Yihui Xie <xieyihui@gmail.com>
> Web: http://yihui.name
>
>
> On Wed, Jan 29, 2014 at 10:49 AM, Jeff Johnson <mrjefftoyou@gmail.com>
> wrote:
> > Hi there,
> > I'm currently using knitr to generate an html file, however the output of
> > my code is in a font size that's larger than I desire. I've been looking
> > through various options for controlling the font size of the code
> results,
> > such as the knitr manual, opts_chunk, and latex.
> >
> > The actual code itself is not being outputted as desired (I set
> echo=FALSE
> > intentionally). However, I wish to make the results of executing the
> code a
> > couple of font sizes smaller. I'll likely wish to have all code output
> > chunks be smaller, so a global setting is fine, though I would also
> > appreciate understanding how to control it at the chunk level as well.
> >
> > Does any one have a recommendation on how to do this? Lots of discussion
> on
> > Google, but I don't see any tangible results. I'm still pretty new to R
> > however.
> >
> > Thanks in advance.
> > --
> > Jeff
> >
> >         [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help@r-project.org mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
>



-- 
Jeff

	[[alternative HTML version deleted]]


