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I wonder if there is any R package equivalent to MPlus. Thanks in advance.
Depends on what you use MPlus for. For Structural Equation modelling I really like Lavaan. OpenMX and sem are also good packages for it.
But this question does not belong on stackoverflow as it has nothing to do with programming. It should be moved to crossvalidated.com
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Download an R software and R studio, write a hardcopy that has the 4probability sampling techniques that does: loads data; simple random sampling with and without replacement,stratified sampling, systematic and cluster sampling. Write a well commented code (R markdown)
I'm new to R so I haven't tried
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I would like to calculate Mann Attached imageKendall statistics in R. i have an excel sheet with rainfall and years. how would i best get it
Looking at the attached image you should not put Book1$Mean in quotes. Try using:
MannKendall(Book1$Mean)
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i want to fit a tweedie compound Poisson Gamma to my loss data using ptweedie.series R command. I am getting problems how to start with my fitting in R. Thanks in advance.
Performing such a fit is illustrated here:
library(tweedie)
example("tweedie-package")
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In how many different ways can a cube be painted by using three different colors of paint?
The answer of this is 45,
What if I change cube to cuboid?
Thanks!
I am preparing for job interview and this question is from CareeCup.
First, you should know how 45 is derived. That is by the use of permutation and combination.
Since a cuboid has the same number of sides as a cube, they should have the same answer. So the answer is 45.
But it is important to learn how the 45 is derived.
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I know it's not programming question but I thought we could all use the challenge :)
Link to diagram
Point A is the source of a laser. It is shinned at a single mirror and then reflected to another mirror finally arriving at point B ... see picture.
The goal is to find the total distance of all the lines.
I am not a student and this is not homework.
Same as a straight line from (-x, y) to (a, -b).
sqrt((a+x)^2 + (b+y)^2)