The fittings must be returned by yourself (at customers expense), unused and unwired and in their original, unmarked packaging. You will then receive a returns form via email, if you could please fill this out and enclose this in the outer box of the item and await an email from ourselves to authorise the return before posting this back. Please log onto your account on our website ( ) and log your return through your order history. Lights2go have a 14 day, no quibble, money back guarantee for unwanted goods.
Order value over £99.00 - FREE DELIVERY.We require any claim based on defect in quality or condition of the products or any shortages on delivery to be notified via email within 3 days of receipt of the item - if any damages or shortages are reported later than this, replacements will be chargeable. We would always advise to book a qualified electrician once the goods have been received and not before, as we are unable to cover any electricians charges if goods arrive later than expected. Very occasionally items can be out of stock and we will always inform you via email of this, with the choice of waiting for the goods, exchanging for other goods or cancelling the order. All items in stock are usually dispatched within 2-7 working days and usually have a 1-3 working day lead time once dispatched. In the following example we select the values of the column x, where the value is 1 or where it is 6.Lights2go strive to make your online ordering as easy as possible, including delivery. Subsetting with multiple conditions is just easy as subsetting by one condition. In adition, you can use multiple subset conditions at once. Subset(my_df, w = "Group 1") # Equivalent x y z wġ0 20 12 Group 1 # All values where 'y' is lower or equal to 14 Note that when using this function you can use the variable names directly. You can also apply a conditional subset by column values with the subset function as follows. Note that when subsetting a data frame by column value you have to specify the condition in the first argument, as the output will be a subset of rows of the data frame. # First column (with column and row names)
The following block of code shows some examples: # First column (simplified as vector) In case of subsetting multiple columns of a data frame just indicate the columns inside a vector.In this case you can’t use double square brackets, but use drop argument.
Subsetting a variable in R stored in a vector can be achieved in several ways: However, sometimes it is not possible to use double brackets, like working with data frames and matrices in several cases, as it will be pointed out on its corresponding sections. Suppose you have the following named numeric vector: x
Before the explanations for each case, it is worth to mention the difference between using single and double square brackets when subsetting data in R, in order to avoid explaining the same on each case of use.