Linked Questions
21 questions linked to/from Good methods for density plots of non-negative variables in R?
6
votes
1
answer
621
views
State of the art: Non-parametric density estimation with a boundary and data clumped near zero [duplicate]
I have some data which I wish to estimate the marginal distribution of. I have no
real idea what parametric distribution would be suitable, so was planning on fitting a non-parametric (probably kernel)...
- 545
0
votes
0
answers
156
views
Log transformation in R (Precipitation Data) [duplicate]
In many situations the values that a random variable, X, can take on is restricted, for example precipitation data [0,inf), that is f(x) = 0 for x < 0. We say that the support of f(x) is [0,inf).
...
- 53
0
votes
0
answers
79
views
Kernel density estimation for a variable with lots of zeros [duplicate]
I am trying to estimate the kernel density for number of days a child is sick. Around 73% of children report not being sick, i.e. zero. How do I estimate a kernel density for this censored variable ...
0
votes
0
answers
38
views
Non-Parametric Density estimation with a positive variable [duplicate]
I’m struggling to find a way to represent a kernel density estimation with a nonnegative random variable. I have read a couple of articles tackling this issue; however I couldn’t implement it in R. I ...
13
votes
4
answers
3k
views
How can I estimate the density of a zero-inflated parameter in R?
I have a data set with lots of zeros that looks like this:
set.seed(1)
x <- c(rlnorm(100),rep(0,50))
hist(x,probability=TRUE,breaks = 25)
I would like to draw ...
- 3,801
0
votes
1
answer
13k
views
"Negative density" for non-negative variables [closed]
Having an integer positive variable (number of days) in an experiment, I got negative values for the kernel density plots using R. I have read other posts relating to this topic. They admitted that ...
- 103
11
votes
2
answers
2k
views
Kernel density estimation and boundary bias
What sort of kernel density estimator does one use to avoid boundary bias?
Consider the task of estimating the density $f_0(x)$ with bounded support and where the probability mass is not decreasing ...
- 5,281
2
votes
2
answers
7k
views
Does this graph follow a exponential distribution or a log-normal?
command for the graph:
hist(c1,freq=FALSE)
lines(density(c1,adjust=2),col="darkblue",lwd=2)
I generated this sequence in R:
...
- 23
12
votes
2
answers
2k
views
Kernel density estimation on asymmetric distributions
Let $\{x_1,\ldots,x_N\}$ be observations drawn from an unknown (but certainly asymmetric) probability distribution.
I would like to find the probability distribution by using the KDE approach:
$$
\...
- 233
4
votes
3
answers
866
views
Information loss by histograms
Recently I became curious about what I imagine to be an old problem: the fidelity of histograms to an underlying data set. CrossValidated has a number of questions on the subject of "optimal ...
- 161
2
votes
1
answer
2k
views
Why density plot tails are beyond maximum and minimum values?
I am trying to interpret the tails of a density curve, which go beyond xlims(0 in this case). I understand that area under the curve between any two points represents the probability of that event.
...
- 121
3
votes
1
answer
1k
views
Why simulated gamma distributed data have negative kernel values?
I know that Gamma distribution does not allow 0 or negative values.
I was doing some simulation and when I write this code in R
...
- 337
2
votes
2
answers
394
views
downsampling a kde / combining kde and histogram
I'm calculating a KDE of one parameter (y, particle density) in bins of another parameter (x, distance from the origin). At ...
- 147
1
vote
0
answers
274
views
Weighted density estimation of exponentially distributed RV [closed]
I am trying to get a weighted density estimation of some data. Unfortunately, the data is approximately exponentially distributed after the weight transform, which gives a false sense of positive ...
- 119
1
vote
0
answers
210
views
strange density plot of p-value [duplicate]
I computed the T-score and P-value using t.test() for my data, and finally I've plotted the density of my p-value and I've got strange plot. I don't know, why I see ...
- 2,653