search for: prticulr

...one where it can be handled before any other use as shown below. If it cannot be used, you might need to modify how your SQL or the function you call creates it so it includes either names it chooses or that you supply. One silly solution if to give your data frame names before using it later. In prticulr, if you know what the columns contain, you can choose suitable names like this if you have exactly three columns: > colnames(mydata) <- c("first", "second", "third") > mydata first second third 1 1 2 3 If you have a varying number of columns a...

...one where it can be handled before any other use as shown below. If it cannot be used, you might need to modify how your SQL or the function you call creates it so it includes either names it chooses or that you supply. One silly solution if to give your data frame names before using it later. In prticulr, if you know what the columns contain, you can choose suitable names like this if you have exactly three columns: > colnames(mydata) <- c("first", "second", "third") > mydata first second third 1 1 2 3 If you have a varying number of columns a...

...one where it can be handled before any other use as shown below. If it cannot be used, you might need to modify how your SQL or the function you call creates it so it includes either names it chooses or that you supply. One silly solution if to give your data frame names before using it later. In prticulr, if you know what the columns contain, you can choose suitable names like this if you have exactly three columns: > colnames(mydata) <- c("first", "second", "third") > mydata first second third 1 1 2 3 If you have a varying number of columns a...

...it can be handled before any other use as shown below. If it cannot be used, you might need to modify how your SQL or the function you call creates it so it includes either names it chooses or that you supply. > > One silly solution if to give your data frame names before using it later. In prticulr, if you know what the columns contain, you can choose suitable names like this if you have exactly three columns: > >> colnames(mydata) <- c("first", "second", "third") >> mydata > first second third > 1 1 2 3 > > If you...

...re it can be handled before any other use as shown below. If it cannot be used, you might need to modify how your SQL or the function you call creates it so it includes either names it chooses or that you supply. >> One silly solution if to give your data frame names before using it later. In prticulr, if you know what the columns contain, you can choose suitable names like this if you have exactly three columns: >>> colnames(mydata) <- c("first", "second", "third") >>> mydata >> first second third >> 1 1 2 3 >>...

...re it can be handled before any other use as shown below. If it cannot be used, you might need to modify how your SQL or the function you call creates it so it includes either names it chooses or that you supply. >> One silly solution if to give your data frame names before using it later. In prticulr, if you know what the columns contain, you can choose suitable names like this if you have exactly three columns: >>> colnames(mydata) <- c("first", "second", "third") >>> mydata >> first second third >> 1 1 2 3 >>...

I have written a function which returns an SQL query result as a data.frame. Each column of data.frame is a variable not explicitly defined. For every column name, R CMD check says ?no visible binding for global variable <name>. Status: 1 NOTE Is it possible to tell R CMD check that these variables are OK? Thanks, Naresh Sent from my iPhone