[According to](https://mailman.stat.ethz.ch/pipermail/r-devel/2014-March/068497.html) CRAN Maintainer Uwe Ligges,

&gt; *This is just a note that reminds CRAN maintainers to check that the 
submission comes actually from his maintainer and not anybody else.*

Thus, it is safe to ignore such a message.

These checks can be disabled. R Internals states:

    _R_CHECK_CRAN_INCOMING_

    Check whether package is suitable for publication on CRAN. Default: false, except for CRAN submission checks.

    _R_CHECK_CRAN_INCOMING_REMOTE_

    Include checks that require remote access among the above. Default: same as _R_CHECK_CRAN_INCOMING_


I usually run M-x occur &lt;RET&gt; [^OK]$ and scoll through the &#39;occur&#39; buffer. Hope that helps

What I have:
-------------

I have jQuery AJAX function that returns HTML after querying a database. Depending on the result of the query, the function will either return HTML code or nothing (i.e. blank) as desired.

What I need:
-------------

I need to conditionally check for when the data is blank.

My code:
-------------

    $.ajax({
    	type:&quot;POST&quot;,
    	url: &quot;&lt;?php echo admin_url(&#39;admin-ajax.php&#39;); ?&gt;&quot;,
    	data: associated_buildsorprojects_form,
    	success:function(data){
    		if(!data){	
    		//if(data=&quot;undefined&quot;){
    		//if(data===&quot;undefined&quot;){
    		//if(data==null){
    		//if(data.length == 0){
    		//if ( data.length != 0 ){
    		//if(data===0){
    		//if(data===&quot;0&quot;){	
    			alert(&quot;Data: &quot; + data);
    		}
    	},
    	error: function(errorThrown){
    		alert(errorThrown);
    		alert(&quot;There is an error with AJAX!&quot;);
    	}  				
    });

My problem:
-------------

I&#39;ve tried a variety of conditions but none correctly check the data. Based on my findings, a blank alert message does not mean data is 

 1. empty
 2. non-existent
 3. equal to zero
 4. of length zero
 5. null
 6. undefined

If it&#39;s none of these things, how can I therefore conditionally check for the data that yields a blank alert message?

Check if AJAX response data is empty/blank/null/undefined/0

In some of my tests, I have a user model I have created and I run some methods that need to save certain attributes. In rails, I would typically call something like `user.reload` which would repopulate the attributes from the database.

Is there a way in laravel to do that? I read through the api and couldn&#39;t find a method for it: http://laravel.com/api/4.1/Illuminate/Database/Eloquent/Model.html Any ideas on the &quot;right&quot; way to do this?

How to reload/refresh model from database in Laravel?

When I run `R CMD check --as-cran`  on my package, the one note I still get is:

    checking CRAN incoming feasibility ... NOTE 
    Maintainer:[my name] &lt;my email&gt;

I can&#39;t seem to find a good explanation of this note, although I haven&#39;t read anything that tells my I should be concerned about it.  As anyone else run into this?  Is there anything I can do that will clear the note?

checking CRAN incoming feasibility ... NOTE Maintainer

When I run <code>R CMD check --as-cran</code> on my package, the one note I still get is:
<pre><code class="hljs language-perl">checking CRAN incoming feasibility ... NOTE 
Maintainer:[my name] &#x3C;my email>
</code></pre>
I can't seem to find a good explanation of this note, although I haven't read anything that tells my I should be concerned about it. As anyone else run into this? Is there anything I can do that will clear the note?

Is there a way to read a Stata version 13 dataset file in R?

I have tried to do the following:

    &gt; library(foreign)
    &gt; data = read.dta(&quot;TEAdataSTATA.dta&quot;) 

However, I got an error:

&gt;Error in read.dta(&quot;TEAdataSTATA.dta&quot;) :   
&gt;not a Stata version 5-12 .dta file

Could someone point out if there is a way to fix this?



Read Stata 13 file in R

I am using RStudio for writing markdown documents and want to add Table of Contents (TOC) at top of the documents so that the user could click the relevant section for reading. There were some relevant examples on rpubs but now I can&#39;t seem to find them. Please note that I don&#39;t use `pandoc` and am quite new to `Rmd` &amp; `knitr`. Is there any way to add TOCs without using `pandoc`? If using `pandoc` is must then which functions are relevant?

# EDIT

Here&#39;s a small sample page:

    ---
    title: &quot;Sample Document&quot;
    output:
      html_document:
        toc: true
        theme: united
    ---

    Header 1
    ---------------
    This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see &lt;http://rmarkdown.rstudio.com&gt;.
        
    ## Header 2
    When you click the **Knit** button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:
        
    ```{r}
    summary(cars)
    ```
    
    You can also embed plots, for example:
    
    ```{r, echo=FALSE}
    plot(cars)
    ```
    ### Header 3
    Note that the `echo = FALSE` parameter was added to the code chunk to prevent printing of the R code that generated the plot.

I tried running this in RStudio v 0.98.864 and it worked! but sadly it didn&#39;t work on 0.98.501 and 0.98.507. I am working on my thesis in 0.98.501 and after updating RStudio, some of my analyses didn&#39;t work. So, I reverted back to 0.98.501.
What should I do now? I really want TOCs but without harming the outputs of other analyses.


How to add table of contents in Rmarkdown?

I want to count the number of `NA` values in a data frame column. Say my data frame is called `df`, and the name of the column I am considering is `col`. The way I have come up with is following:  

    sapply(df$col, function(x) sum(length(which(is.na(x)))))  

Is this a good/most efficient way to do this?
    

Determine the number of NA values in a column

I wish to (1) group data by one variable (`State`), (2) within each group find the row of minimum value of another variable (`Employees`), and (3) extract the entire row.

(1) and (2) are easy one-liners, and I feel like (3) should be too, but I can&#39;t get it.

Here is a sample data set:

    &gt; data
      State Company Employees
    1    AK       A        82
    2    AK       B       104
    3    AK       C        37
    4    AK       D        24
    5    RI       E        19
    6    RI       F       118
    7    RI       G        88
    8    RI       H        42

    data &lt;- structure(list(State = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 
            2L), .Label = c(&quot;AK&quot;, &quot;RI&quot;), class = &quot;factor&quot;), Company = structure(1:8, .Label = c(&quot;A&quot;, 
            &quot;B&quot;, &quot;C&quot;, &quot;D&quot;, &quot;E&quot;, &quot;F&quot;, &quot;G&quot;, &quot;H&quot;), class = &quot;factor&quot;), Employees = c(82L, 
            104L, 37L, 24L, 19L, 118L, 88L, 42L)), .Names = c(&quot;State&quot;, &quot;Company&quot;, 
            &quot;Employees&quot;), class = &quot;data.frame&quot;, row.names = c(NA, -8L))

Calculate `min` by group is easy, using `aggregate`:

    &gt; aggregate(Employees ~ State, data, function(x) min(x))
      State Employees
    1    AK        24
    2    RI        19

...or `data.table`:
    
    &gt; library(data.table)
    &gt; DT &lt;- data.table(data)
    &gt; DT[ , list(Employees = min(Employees)), by = State]
       State Employees
    1:    AK        24
    2:    RI        19

But how do I extract the entire row corresponding to these `min` values, i.e. also including `Company` in the result? 

Extract row corresponding to minimum value of a variable by group

Here are my codes, pretty standard but I am getting the error msg:

    library(caret)
    set.seed(32343)
    modelFit = train(type~.,data=training, method=&#39;glm&#39;)

error msg:

    Error in library(e1071) : there is no package called ‘e1071’

Any idea? Thanks!

Using Caret Package but Getting Error in library(e1071)

I have built an R package, i.e. I have the mypackage.tar.gz file. This package depends on several other packages, all downloadable and installable from any CRAN mirror.

Now I want to install this package on a system where the dependencies are not yet installed, and I would like that the dependencies will be downloaded and installed automatically when I install my package.

I tried:

    install.packages(&quot;mypackage.tar.gz&quot;,type=&quot;source&quot;,dependencies=TRUE,repos=&quot;http://a.cran.mirror&quot;)

but it searches for `mypackage.tar.gz` on the mirror (and obviously it does not find), while if I set `repos=NULL` it correctly tries to install the local package file (as documented), but obviously it does not find the dependencies packages.

**So my question is: is there a way to perform a &#39;mixed&#39; installation (local package with online dependencies) or the only way to do is to manually install all the dependencies?**




Content Type	Original Author	Original Content on Stackoverflow
Question	Benjamin	View Question on Stackoverflow
Solution 1 - R	gagolews	View Answer on Stackoverflow
Solution 2 - R	Jack Wasey	View Answer on Stackoverflow
Solution 3 - R	Christian Hoffmann	View Answer on Stackoverflow

checking CRAN incoming feasibility ... NOTE Maintainer

R Problem Overview

R Solutions

Solution 1 - R

Solution 2 - R

Solution 3 - R

How to reload/refresh model from database in Laravel?

Check if AJAX response data is empty/blank/null/undefined/0

Attributions