1pc 300ML Hairdressing Spray Bottle

1pc 300ML Hairdressing Spray Bottle


Sprayer 1) This 300ML hairdressing spray bottle is perfect for your styling needs!

2) The 1pc design is perfect for travel and on-the-go styling.

3) The hairdressing spray bottle features a fine mist sprayer for even coverage.

4) This hairdressing spray bottle is perfect for all your hair care needs!

5) It will help you make your hair shiny, strong & smooth!

6) Use at home, in the gym, at the office, or anywhere that you need!

Our spray bottle is made of BPA free material. It is BPA Free and is 100% safe for the human body.

7) Made in the USA

8) Made with quality materials

9) It will help you make your hair shiny, strong & smooth!

10) 100% satisfaction Guaranteed.

SHIPPING:

-USA Shipping is $9.99 and takes 2-5 business days

-Canada Shipping is $19.99 and takes 3-5 business days

-Our world-wide shipping options are as follows:

-Shipping is FREE for all orders within The US & Canada!

-Please allow 2-3 weeks for your items to arrive

-Please allow an additional 3-5 additional business days for international shipping

-All items are shipped via USPS, we take care of the shipping label and delivery confirmation.

RETURN POLICY:

-We do not accept returns. We are not responsible for returned packages.

-All items are guaranteed to arrive in good working condition. If there is an issue within the next 30 days, please Contact us before canceling your order.

-We are not responsible for shipping issues or missing items (UPS damage, etc…). Please contact us before leaving Feedback if there has been an issue.Q:

How do I create my own library for R

I’m interested in learning R and would like to start by creating my own library to add certain statistical calculations. I’m wondering how to go about this. Has anybody been able to do this? If so, how do I go about building a library in R?

A:

If you don’t want to use Rcpp, you can write a package with your own functions in Rcpp and use that to create your package’s source files.
For example, consider this Rcpp function I created for a few operations like means, standard deviations and covariance on a vector of numbers:
// [[Rcpp::export]] double mean(NumericMatrix x) {
Rcpp::NumericVector::iterator n = x.begin();
return n->Me

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