finit | Simple init system -
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Simple init system
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Trending Discussions on finit
QUESTION
I am using a method to remove univariate outliers. This method only works if the vector contains outliers.
How is it possible to generalize this method to work also with vectors without outliers. I tried with ifelse
without success.
ANSWER
Answered 2021-Jun-15 at 19:58Negate (!
) instead of using -
which would work even when there are no outliers
QUESTION
I am new to Shiny and I am not sure why I get an error.
I already have created a function that takes an input a variable "name" and then after some lines I simply end by print(plot 1) print(plot 2). Now I want to make this function reactive using shiny.
I have already in my R session environment run the dataframe & the function. Then I run the shiny app using this code but I get this error. Do you have any idea what could be the issue? :/
Warning: Error in seq.int: 'to' must be a finite number
...ANSWER
Answered 2021-Jun-13 at 18:37You need to specify what's in playlist_names
passed as choices =
, quoted from ?selectinput
:
List of values to select from. If elements of the list are named, then that name — rather than the value — is displayed to the user. It's also possible to group related inputs by providing a named list whose elements are (either named or unnamed) lists, vectors, or factors. In this case, the outermost names will be used as the group labels (leveraging the HTML tag) for the elements in the respective sublist. See the example section for a small demo of this feature.
Working example:
QUESTION
Given a rational number, I need to get the nearest integer, with exact halves rounded up (that is, towards positive infinity). The results must be exact, which rules out float
and Decimal
, both of which have finite precision.
The following code works perfectly in all cases except for negative numbers:
...ANSWER
Answered 2021-Jun-11 at 23:26In roundhalfup
, replace int(...)
with math.floor(...)
:
QUESTION
Hi I got two parameters in my ggplot2 and want to create a list object for all the plots. Somehow it gives me an error
...ANSWER
Answered 2021-Jun-10 at 06:00You can split the dataset for each combination of group and use map
to apply the plot function to each group.
QUESTION
Given a finite list of n
sub-lists:
ANSWER
Answered 2021-Jun-07 at 12:30Since you explicitly asked for a one-liner, here it is:
QUESTION
I am looking for an algorithm to convert a float to a rational number, such that the rational number is guaranteed to evaluate back to the original float, and the denominator is minimized.
A naive algorithm can just return the actual value of the float as X / 2N, but that 2N tends to be pretty large for anything that is not a finite binary fraction. For example, the number 0.1, when stored in a double-precision float, is actually approximated by ³⁶⁰²⁸⁷⁹⁷⁰¹⁸⁹⁶³⁹⁷⁄₃₆₀₂₈₇₉₇₀₁₈₉₆₃₉₆₈ (the denominator being 255). However, converting 0.1 to ¹⁄₁₀ is obviously better, and ¹⁄₁₀ will evaluate to ³⁶⁰²⁸⁷⁹⁷⁰¹⁸⁹⁶³⁹⁷⁄₃₆₀₂₈₇₉₇₀₁₈₉₆₃₉₆₈ under floating point arithmetic.
A related problem is printing floats in decimal with the least amount of digits (this paper describes some techniques), which can be considered a specialized version of this problem with an additional constraint that the denominator must be a power of 10.
There is an existing questions, and likely more, but they don't have the constraint that the converted rational number must evaluate to the original float.
...ANSWER
Answered 2021-Apr-07 at 18:09Let's start with a definition that pins down exactly which fraction we're looking for in any particular case:
Definition. Say that a fraction
a/b
is simpler than another fractionc/d
(with both fractions written in lowest terms, with positive denominators) ifb <= d
,abs(a) <= abs(c)
, and at least one of those two inequalities is strict.
So for example 5/7
is simpler than 6/7
, and 5/7
is simpler than 5/8
, but neither 2/5
nor 3/4
is simpler than the other. (We don't have a total ordering here.)
Then with this definition, there's a not-immediately-obvious theorem, that guarantees that the fraction we're looking for always exists:
Theorem. Given a subinterval
J
of the real numbers that contains at least one fraction,J
contains a unique simplest fraction. In other words, there's a unique fractionf
such that
f
is inJ
and,- for any other fraction
g
inJ
,f
is simpler thang
.
In particular, the simplest fraction in an interval will always have smallest possible denominator, as required in the question. The "contains at least one fraction" condition in the theorem is there to exclude degenerate cases like the closed interval [√2, √2]
, which doesn't contain any fractions at all.
Our job is to write a function that takes a finite floating-point input x
and returns the simplest fraction n/d
for which x
is the closest float to n/d
, in the target floating-point format.
Assuming a reasonably sane floating-point format and rounding mode, the set of real numbers that round to x
will form a nonempty subinterval of the real line, with rational endpoints. So our problem breaks naturally into two subproblems:
Problem 1. Given a float
x
in the target floating-point format, describe the interval of all values that round tox
under the rules for that floating-point format. This involves both identifying the endpoints of that interval and establishing whether the interval is open, closed, or half-open.Problem 2. Given a nonempty subinterval
J
of the real line with rational endpoints, compute the simplest fraction in that subinterval.
The second problem is more interesting and less dependent on platform and language details; let's tackle that one first.
Finding the simplest fraction in an intervalAssuming an IEEE 754 floating-point format and the default round-ties-to-even rounding mode, the interval rounding to a given float will be either open or closed; with other rounding modes or formats, it could potentially be half open (open at one end, closed at the other). So for this section, we only look at open and closed intervals, but adapting to half-open intervals isn't hard.
Suppose that J
is a nonempty subinterval of the real line with rational endpoints. For simplicity, let's assume that J
is a subinterval of the positive real line. If it's not, then either it contains 0
— in which case 0/1
is the simplest fraction in J
— or it's a subinterval of the negative real line and we can negate, find the simplest fraction, and negate back.
Then the following gives a simple recursive algorithm for finding the simplest fraction in J
:
- If J contains
1
, then1/1
is the simplest fraction inJ
- Otherwise, if
J
is a subinterval of(0, 1)
, then the simplest fraction inJ
is1/f
, wheref
is the simplest fraction in1/J
. (This is immediate from the definition of 'simplest'.) - Otherwise,
J
must be a subinterval of(1, ∞)
, and the simplest fraction inJ
isq + f
, whereq
is the largest integer such thatJ - q
is still within the positive reals, andf
is the simplest fraction inJ - q
.
For a sketch of proof of the last statement: if a / b
is the simplest fraction in J
and c / d
is the simplest fraction in J - q
, then a / b
is simpler than or equal to (c + qd) / d
, and c / d
is simpler than or equal to (a - qb) / b
. So b <= d
, a <= c + qd
, d <= b
and c <= a - qb
, and it follows that b = d
and a = c + qd
, so c / d = a / b - q
.
In Python-like pseudocode:
QUESTION
I am trying to run the MSClaio2008
function of the nsRFA
library in R. Following the documentation, I have successfully run the examples given on the web site. However, when I created my own data set to run with the MSClaio2008
function as seen below:
ANSWER
Answered 2021-Jun-08 at 13:53This looks like a bug in the package, but it is related to the fact that your data are weird. This function is supposedly fitting distributions to observations of hydrological extremes: you have given it an integer sequence from 10 to 110.
As it turns out, when computing the fit for some of the possible distributions (P3
and GEV
, I think), the function internally computes the skewness of the data and has a test for what to do if it the skewness is positive or negative. It doesn't consider the possibility that the skewness would be exactly 0!
Inside nsRFA:::ML_estimation
:
QUESTION
I have a numpy array with non finite elements. For example :
...ANSWER
Answered 2021-Jun-08 at 10:35You should use the bitwise NOT (~
):
QUESTION
I have a list of lists called cj1. Each list contains multiple data frames/elements. I want to extract the first element/data frame from each list in a separate list of data frames. The first rows in the first element of each list look like this
...ANSWER
Answered 2021-Jun-02 at 21:23So after messing around, the answer seems to be very simple: `results1<-cj1["coefficients",]. This creates the list that I want. Akrun, if you read this, thank you for your support.
QUESTION
In mathematics, we use superpositions of functions often. Obviously, we can define superpositions of any number of functions, e.g., (h∘g∘f)(x)(h∘g∘f)(x). My question is following -> How to define a superposition binary operator %@% ?
Let's start with a simple example.
sin %@% -pi/4
The above expression returns the value sin(−π/4) when evaluated. I would like to get an implementation of the %@% operator which allows for superposing any finite number of functions like in the following example (please see below). Could you please provide me with the solution without any additional R-packages? It will be very helpful.
tanh %@% exp %@% abs %@% sin %@% -pi/4
...ANSWER
Answered 2021-Jun-02 at 10:48The following function adapts the code in this answer to a similar question.
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