As with Vector, the DataFrame column can be specified by a numeric vector (column number), a string vector (column name), and a logical vector. When accessing a specific column of DataFrame, the column is temporarily assigned to Vector object and accessed via the object. 30.3 Use standard C++ data structures as arguments and return values of Rcpp functions.30.2 Conversion between standard C++ data structures and Rcpp data structures.30 Standard C++ data structures and algorithms.28.5.2 Environment::namespace_env(package).24.4 Points to note when handling NA with Rcpp.24.2.2 Evaluating single element of a vector.24.2.1 Evaluating all the elements of a vector at once.22.4.8 Distribution of Wilcoxon signed-rank test statistic.22.4.7 Distribution of Wilcoxon rank-sum test statistic.22.4.3 Negative binomial distribution (with mean as parameter).22.4.2 Negative binomial distribution (with success probability as parameter).22.3.8 Noncentral chi-squared distribution.22.3 Continuous probability distribution.22.2.2 Discrete probability distribution.22.2.1 Continuous probability distribution.22.2 List of probability distribution functions.22.1 Basic structure of probability distribution function.21.1.11 Functions related to NA Inf NaN.21.1.10 Functions related to logical values.21.1.8 Functions related to rounding values.
21.1.6 Functions related to maximum and minimum values.20.2 Access functions for common attributes.18.3 Using RObject to write functions that receive various datatypes (function templates).18.2 Determining type of object assigned to RObject.11.4 Evaluation of elements of LogicalVector.11.3 Function that receives LogicalVector.11.1.1 Data type of LogicalVector elements.
9.2.1 Accessing as reference to row, column and sub matrix.8.4.5 import_transform( first_it, last_it, func).3.1.1 Format for defining a function in Rcpp.2.2 Using other compilers installed by yourself.We are very sorry that those tips above did not help to select the proper size and you had to return the glasses.
Here is a guide on how to choose the best frames for the different face shapes:
This is an Instagram filter and it could be not 100% accurate in terms of sizing and color, but it can help you to have an idea. You can also use any of our Instagram filters on your smartphone in our account in the highlight folder "Filters". But the colors are approximate and we advice to check the photos on the product page. If you choose your Pupillary distance (or the standard Woman/Man) the VTO will show you the true fit as it will be in reality according to your face size / distance between the eyes. If you want to have a virtual try on, please, check our VTO tool using the webcam on your computer or with your smartphone here: You can find as well all the sizes of our glasses either on each product page or here.
We offer to our customers as many tools as we can to choose the best matching frames by size, shape and colour: Thank you for your feedback and sorry about your experience with the size.