average

I am trying to write a function to determine the average of an arbitrary number of arguments, all of which have the same type. For learning purposes I am trying to do this using a variadic-templated function. This is what I have so far: template<typename T, class ... Args> T Mean(Args ... args) { int numArgs = sizeof...(args); if (numArgs == 0) return T(); // If there are no arguments, just return the default value of that type T total; for (auto value : args...) { total += value; } return total / numArgs; // Simple arithmetic average (sum divided by total) } When I try to compile this (using

I have an object of the following format Map<String, List<ObjectDTO>> mapOfIndicators = new HashMap<>(); ObjectDTO is public class ObjectDTO { private static final long serialVersionUID = 1L; private String iName; private String dName; private String countryName; private int year; //Since the value can be empty, using String instead of Double private String newIndex; } I am trying to compute the average of the newIndex value, which basically I cannot do as getNewIndex is String, and there can be empty string(values). I cannot convert to the null values to 0 as there will be 0 values in

I have some real rainfall data recorded as the date and time, and the accumulated number of tips on a tipping bucket rain-gauge. The tipping bucket represents 0.5mm of rainfall. I want to cycle through the file and determine the variation in intensity (rainfall/time) So I need a rolling average over multiple fixed time frames: So I want to accumulate rainfall, until 5minutes of rain is accumulated and determine the intensity in mm/hour. So if 3mm is recorded in 5min it is equal to 3/5*60 = 36mm/hr. the same rainfall over 10 minutes would be 18mm/hr... So if I have rainfall over several hours I

I have a data.frame in R where one column is a list of dates (many of which are duplicates), whereas the other column is a temperature recorded on that date. The columns in question look like this (but is several thousand rows and a few other unnecessary cols): Date | Temp ----------------- 1/2/13 34.4 1/2/13 36.4 1/2/13 34.3 1/4/13 45.6 1/4/13 33.5 1/5/13 45.2 I need to find a way of getting a daily average for temperature. So ideally, I could tell R to loop through the data.frame and for every date that matched, give me an average for the temperature that day. I've been googling and I know

I have a MySQL database which is used to store power readings, with a reading added once per minute. (i.e. 1,440 readings per day). time power ---- ----- 00:00:00 346 00:01:00 352 00:02:00 247 Using PHP I want to produce a graph from this data, but I don't want 1,440 points on the graph. I might choose to split it into 15 minute chunks (which will give me 96 points). Also, I don't want to simply take every fifteenth value, as this will give misleading results. What I want to do is use an SQL query that returns the data in 15 minutes blocks and gives the power reading as an average. The output

Edit: Since it appears nobody is reading the original question this links to, let me bring in a synopsis of it here. The original problem, as asked by someone else, was that, given a large number of values, where the sum would exceed what a data type of Double would hold, how can one calculate the average of those values. There was several answers that said to calculate in sets, like taking 50 and 50 numbers, and calculating the average inside those sets, and then finally take the average of all those sets and combine those to get the final average value. My position was that unless you can