![]() I particularly like the cube shape for the purpose of placing this speaker in my office. It looks like and oversized puzzle or perhaps something made out of LEGOs, but a closer look reveals that it’s in fact a single unbreakable object. ![]() The first thing that you will notice about the Magic Cube is, of course, its unique cube-like shape. The speaker is perfect for casual listening, especially of pop music and other music genres that don’t put high demands on the quality and range of the sound. If you are an audiophile, of course, you will find a lot to complain about, but at this price range you won’t find many (if any) better alternatives. It is compact, user-friendly, and delivers pretty good sound. Plemo’s Magic Cube is definitely one of the better Bluetooth speakers that I have tested. I find them very convenient to use, and a very attractive alternative to the headphones, particularly in situations where your music choices don’t bother those around you. I have used several small standalone Bluetooth speakers/speakerphones and I am still impressed with the fact that such small devices are able to deliver fairly loud sound.
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![]() #calculate weighted standard deviation of points and wins The following code shows how to use the sapply() function in R to calculate the weighted standard deviation for multiple columns of a data frame: library(Hmisc) Example 3: Weighted Standard Deviation for Multiple Columns of Data Frame The weighted standard deviation for the points column turns out to be 0.673. #calculate weighted standard deviation of points ![]() The following code shows how to calculate the weighted standard deviation for one column of a data frame in R: library(Hmisc)ĭf <- data. Example 2: Weighted Standard Deviation for One Column of Data Frame The weighted standard deviation turns out to be 8.57. The following code shows how to calculate the weighted standard deviation for a single vector in R: library(Hmisc) Example 1: Weighted Standard Deviation for One Vector The following examples show how to use this function in practice. 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