Report from the Enterprise Applications of the R Language conference
by Mark Niemann-Ross Mango Solutions presented the EARL conference in Seattle this November and I was fortunate enough to have time to attend. During the conference I took notes on the presentations,…
Keysight Survey Reveals Securing Market Leadership is Key Driver for 5G Technology Investment
#ICYMI: Keysight Technologies Inc. released the results of the Keysight 2018 State of 5G survey, which reveals that companies primarily invest in 5G technology to secure market leadership, meet customer demand and take advantage of flexible and scalable networks. https://goo.gl/j8V6Em
Discrete Probabilities with R
#ICYDK: Probability in general can be thought of as the chances of a particular event happening, say winning or loosing a game, the cliche’ example of tossing a coin and what not.
When I say chance of an event, I mean the percentage of times that event would turn out if I were to do that experiment a large number of times.
Let us consider a box that contains 13 balls, out of which 5 are Blue and 8 are Red. What will be the probability of picking a red ball? Let’s see, there are 8 red balls and a total of 13 balls, so by intuition I’d say 8/13.
The most basic mathematical definition of probability will be something like:
Probability(A) = P(A) = (Count of a likely event) / (Total number of outcomes)
According to the above formula,
P(Red ball) = 8 / (8+5) = 8/13 = 0.615 = 61.5%
P(Blue ball) = 5 / (8+5) = 5/13 = 0.384 = 38.4%
Now we’ll try to calculate it in R.
Step 1: Creating the box which contains the balls.