id stringlengths 16 145 | text stringlengths 1 179k | title stringclasses 1
value |
|---|---|---|
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# kronecker: Kronecker Products on Arrays
## Description
Computes the generalised kronecker ... | |
R_base_all/weighted-average-excel4_342_0.txt | I'd recommend asking this in the Chandoo.org Forums
http://forum.chandoo.org/
Attach a sample file with some data if you can | |
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R_base_all/weighted-average-excel4_31_0.txt | Facebook
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R_base_all/R_base_all_186_1.txt | results
with R version 3.6.0.
CRAN package sampling for other methods of weighted sampling without
replacement.
## Examples
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# Foreign-internal: Internal Versions of the Foreign Function Interface
## Description
Inter... | |
R_base_all/R_base_all_347_2.txt | acter strings or character vectors are coerced
to character if possible.
Each of these functions operates in one of three modes:
1. ` fixed = TRUE ` : use exact matching.
2. ` perl = TRUE ` : use Perl-style regular expressions.
3. ` fixed = FALSE, perl = FALSE ` : use POSIX 1003.2 extended regular expressio... | |
R_base_all/R_base_all_217_1.txt | s.
## References
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) _The New S Language_ .
Wadsworth & Brooks/Cole.
Knuth, D. E. (1998) _The Art of Computer Programming, Volume 3: Sorting and
Searching._ 2nd ed. Addison-Wesley.
## See Also
` [ sort ](/link/sort?package=base&version=3.6.2) ` , ` [ rank
](/lin... | |
R_base_all/index.html6_41_0.txt |
matrix_data <- c(12.68, 13.95, 3.07, 13.95, 30.39, 4.70, 3.07, 4.70, 2.18);
cv_mat <- matrix(data = matrix_data, nrow = 3, ncol = 3, byrow = TRUE);
rownames(cv_mat) <- c("M1", "M2", "M3");
colnames(cv_mat) <- c("M1", "M2", "M3");
Here is what ` cv_mat ` looks like (note that it is symmet... | |
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# MathFun: Miscellaneous Mathematical Functions
## Description
` abs(x) ` computes the absol... | |
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# substr: Substrings of a Character Vector
## Description
Extract or replace substrings in a... | |
R_base_all/weighted-average-excel4_302_0.txt | Thank you for your interest in my question. I attached a file in the post
http://forum.chandoo.org/threads/weighted-average.4256/
Reply | |
R_base_all/pandas.Series.str.split.html8_21_0.txt | Type matches caller unless ` expand=True ` (see Notes).
Raises : | |
R_base_all/ts_moving_averages6_22_0.txt | ### Using the fpp2 package
If your data is already in a time series data object, then you can apply the `
ma ` function directly to that object with ` order = 4 ` and ` centre = TRUE `
. For example, the built-in ` elecsales ` data set is a time series object: | |
R_base_all/weighted-average-excel4_146_0.txt | You rock! Thanks so much for this weighted average calcuation/formulas. They
are dead on.
Reply | |
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# backsolve: Solve an Upper or Lower Triangular System
## Description
Solves a triangular sy... | |
R_base_all/weighted-average-excel4_83_0.txt | Reply
12. ramu says: | |
R_base_all/ts_moving_averages6_2_0.txt | # Moving Averages
Smoothing methods are a family of forecasting methods that average values over
multiple periods in order to reduce the noise and uncover patterns in the
data. Moving averages are one such smoothing method. Moving averages is a
smoothing approach that averages values from a window of consecutive time... | |
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R_base_all/split-data-frame-string-column-into-multiple-columns0_50_0.txt | Gregor Thomas
143k 20 20 gold badges 178 178 silver badges 303 303 bronze badges | |
R_base_all/R_base_all_264_1.txt | ` for positive numbers ,
` " " `
if the first character is not a sign, the space character ` " " ` will be used
instead.
` "#" `
specifies “an alternative output form”, specifically depending on ` format ` .
` "'" `
on some platform--locale combination, activates “thousands' grouping” for
decima... | |
R_base_all/weighted-average-excel4_7_0.txt | Facebook
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R_base_all/split-data-frame-string-column-into-multiple-columns0_100_0.txt | David Arenburg
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R_base_all/getting-started-simulating-data8_87_0.txt |
response = rnorm(n = 6, mean = c(5, 10), sd = 1)
response
[1] 4.413753 12.484499 4.740506 10.273258 5.369074 10.024199
How do we get the ` group ` pattern correct? | |
R_base_all/getting-started-simulating-data8_3_0.txt | August 29, 2018 · @aosmith16 · View source
data , simulation , teaching | |
R_base_all/index.html6_13_0.txt |
rand_norms_10 <- rnorm(n = 10, mean = 0, sd = 1);
The above code stores a vector of 10 numbers, shown below. | |
R_base_all/weighted-average-excel4_175_0.txt | 1.45%
2 WEAK
0.48%
2 WEAK
hie how can i get overall average formula ols reply me as soon as possible
Reply | |
R_base_all/Simulation.html9_26_0.txt |
hist(cm)
Looks like our column means are almost normally distributed, right? That’s the
Central Limit Theorem at work, but that’s a lesson for another day! | |
R_base_all/weighted-average-excel4_165_0.txt | April 28, 2012 at 8:37 am
Thanks Mr. Huitson, however need one clarity as to what should be the values
in cells D2 to D16 ?
As in my earlier query, i have given the Transaction AHT in Column 'B' and
daily average volume in Column 'C'
Please help | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_71_0.txt | 78
Yet another approach: use ` rbind ` on ` out ` : | |
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# debug: Debug a Function
## Description
Set, unset or query the debugging flag on a functio... | |
R_base_all/80542_8_0.txt | Within the tidyverse you can approach this problem via ` stringr::str_split()
` or ` tidyr::separate() ` . (I chose the latter, because it's the obvious
high level solution).
It is also advantageous to know a little bit about regular expressions,
specifically look aheads, see here for example. Also the stringr chea... | |
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# sys.parent: Functions to Access the Function Call Stack
## Description
These functions pro... | |
R_base_all/weighted-average-excel4_3_0.txt | Search
Search | |
R_base_all/R_base_all_393_1.txt | nds which support it, the commands history is read from the file
specified by the environment variable ` R_HISTFILE ` (default ` .Rhistory ` in
the current directory) unless \--no-restore-history or \--no-restore was
specified.
The command-line option \--vanilla implies \--no-site-file , \--no-init-
file , ... | |
R_base_all/1358206-date-manipulation-volume-weighted-average1_3_0.txt | * Home
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R_base_all/weighted-average-excel4_277_0.txt | @NM
I understand the Delta
But have no idea how Weighted was calculated | |
R_base_all/1358206-date-manipulation-volume-weighted-average1_26_0.txt | Code:
sort cusip_id rating_date execution_date
by cusip_id rating_date: egen before = total(rating_date > execution_date)
by cusip_id rating_date: egen after = total(rating_date < execution_date)
gen tokeep = before > 0 & after > 0 | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_18_0.txt | Learn more about Labs
# Split data frame string column into multiple columns | |
R_base_all/R_base_all_187_1.txt | Internals’ manual for details of the format used.
## Examples
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# NOT RUN {... | |
R_base_all/getting-started-simulating-data8_105_0.txt | In this case there will be three columns in the output, one for each run, and
5 rows. This can be a useful output type for some simulations. I focus on list
output throughout the rest of this post only because that’s what I have been
using recently for simulations.
set.seed(16)
replicate(n = 3,
... | |
R_base_all/ts_moving_averages6_20_0.txt |
elecsales.df %>%
mutate(ma4 = ma(sales, order = 4, centre = TRUE)) %>%
head()
## year sales ma4
## 1 1989 2354.34 NA
## 2 1990 2379.71 NA
## 3 1991 2318.52 2384.359
## 4 1992 2468.99 2412.047
## 5 1993 2386.09 2467.918
## 6 1994 2569.47 2536.784... | |
R_base_all/ts_moving_averages6_31_0.txt | Using the ` economics ` data set provided by the ` ggplot2 ` package:
1. Compute and plot the 1, 3, and 5 year moving average for the personal consumption expenditures.
2. Compute the mean square error of these moving averages.
3. Forecast the personal consumption expenditure for 2015-05-01 using a 1, 3, and 5... | |
R_base_all/R_base_all_375_1.txt | erences
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) _The New S Language_ .
Wadsworth & Brooks/Cole.
Unicode Standard Annex #11: _East Asian Width._ [
http://www.unicode.org/reports/tr11/ ](http://www.unicode.org/reports/tr11/)
## See Also
` [ strwidth ](/link/strwidth?package=base&version=3.6.2) ` givin... | |
R_base_all/R_base_all_120_1.txt |
# example from boxplot:
with(ToothGrowth, {
boxplot(len ~ dose, boxwex = 0.25, at = 1:3 - 0.2,
subset = (supp == "VC"), col = "yellow",
main = "Guinea Pigs' Tooth Growth",
xlab = "Vitamin C dose mg",
ylab = "tooth length", ylim = c(0,... | |
R_base_all/getting-started-simulating-data8_33_0.txt | ## runif() pulls from the uniform distribution
Pulling random numbers from other distributions is extremely similar to using
` rnorm() ` , so we’ll go through them more quickly. | |
R_base_all/ts_moving_averages6_24_0.txt |
ma(elecsales, order = 4, centre = TRUE)
## Time Series:
## Start = 1989
## End = 2008
## Frequency = 1
## [1] NA NA 2384.359 2412.047 2467.918 2536.784 2630.801
## [8] 2742.006 2862.457 3003.352 3106.600 3157.988 3194.662 3186.188
## [15] 3207.888 3295.610 3391... | |
R_base_all/ts_moving_averages6_15_0.txt | So, if we wanted to predict the next month’s savings rate based on the
previous year’s average, we can use ` rollmean ` with the ` align = "right" `
argument to compute a trailing moving average. We can see that if we wanted to
predict what the savings rate would be for 2015-05-01 based on the the last 12
months, our p... | |
R_base_all/weighted-average-excel4_145_0.txt | 34. Amy says:
December 21, 2011 at 4:08 pm | |
R_base_all/simulation.html8_1_0.txt | # 20 Simulation
## 20.1 Generating Random Numbers | |
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# is.R: Are we using R, rather than S?
## Description
Test if running under R .
## Usage... | |
R_base_all/Simulation.html9_9_0.txt | Now, suppose we want to simulate 100 flips of an unfair two-sided coin. This
particular coin has a 0.3 probability of landing ‘tails’ and a 0.7 probability
of landing ‘heads’.
Let the value 0 represent tails and the value 1 represent heads. Use sample()
to draw a sample of size 100 from the vector c(0,1), with replace... | |
R_base_all/1188876_9_0.txt |
for (ii in 1:nrow(mat)) {
for (jj in 1:ncol(mat)) {
tmp <- mat[ii, jj]
xx <- unlist(strsplit(tmp, ","))
yy <- max(as.integer(xx))
new[ii, jj] <- yy
}
}
kaijabean October 27, 2021, 4:11am 5 | |
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# Defunct: Marking Objects as Defunct
## Description
When a function is removed from R it ... | |
R_base_all/1358206-date-manipulation-volume-weighted-average1_21_0.txt | Notes:
1\. I assume that cusip, rating_date, and execution_date are never missing.
This is verified in the -assert- statement.
2\. I assume that the variable quanti is what you have in mind when you refer
to volume weighting of the average.
3\. In your example data, execution_date is never the same as rating_da... | |
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# connections: Functions to Manipulate Connections (Files, URLs, ...)
## Description
Functio... | |
R_base_all/weighted-average-excel4_321_0.txt | 68. Weighted Average In Excel - John Oliver Fitness Blog says:
September 30, 2015 at 6:00 am | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_212_0.txt | * Teams
* Advertising
* Collectives
* Talent
##### Company | |
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# strrep: Repeat the Elements of a Character Vector
## Description
Repeat the character stri... | |
R_base_all/weighted-average-excel4_68_0.txt | 6. Yair says:
June 15, 2010 at 12:48 pm | |
R_base_all/weighted-average-excel4_278_0.txt | Typically when doing weighted averages, you have a second or more fields which
are the weighting fields
Reply | |
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# polyroot: Find Zeros of a Real or Complex Polynomial
## Description
Find zeros of a real o... | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_29_0.txt | jkebinger jkebinger
4,024 4 4 gold badges 20 20 silver badges 14 14 bronze badges | |
R_base_all/Simulation.html9_12_0.txt |
sum(flips)
## [1] 70
A coin flip is a binary outcome (0 or 1) and we are performing 100 independent
trials (coin flips), so we can use rbinom() to simulate a binomial random
variable. Pull up the documentation for rbinom() using ?rbinom. | |
R_base_all/weighted-average-excel4_350_0.txt | It's going to be end of mine day, but before finish I am reading this
enormous article to increase my experience.
Reply | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_110_0.txt | We can't use dplyr ` separate() ` because we don't know the number of the
result columns before the split, so I have then created a function that uses `
stringr ` to split a column, given the pattern and a name prefix for the
generated columns. I hope the coding patterns used, are correct.
split_into_mul... | |
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# files2: Manipulation of Directories and File Permissions
## Description
These functions pr... | |
R_base_all/80542_9_0.txt | The regex used in the following solution matches every last underscore in a
string that might be followed by a group of characters which doesn't contain
an underscore.
Note that a warning is thrown, because no underscore is matched in the first
row and hence there is nothing to separate. Also note that in case of one
... | |
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# attributes: Object Attribute Lists
## Description
These functions access an object's attri... | |
R_base_all/weighted-average-excel4_223_0.txt | Sorry 5 problems are 1 point and 6 problems are 0.5 point.
Reply | |
R_base_all/getting-started-simulating-data8_15_0.txt |
rnorm(5)
[1] 1.7930319 -1.4595365 0.1785649 -0.3500435 -0.1665776
There are a couple things about this code and the output to discuss. | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_66_0.txt | – andschar
Jun 4, 2019 at 10:41 | |
R_base_all/index.html6_54_0.txt | It appears not! What about the relationship between body mass and offspring
production that we know exists? Below is a scatterplot of the data for the
three different species.
This looks like there might be a positive relationship, but it is very
difficult to determine just from the scatterplot. We can use a generalis... | |
R_base_all/R_base_all_185_1.txt | ual) arguments.
4. Fix up the argument list to be the arguments of the call matched to the formals of the method.
` .Generic ` is a length-one character vector naming the generic function.
` .Method ` is a character vector (normally of length one) naming the method
function. (For functions in the group generic `... | |
R_base_all/getting-started-simulating-data8_41_0.txt | We can fit a multiple regression linear model via ` lm() ` . In this case, the
coefficient for the second variable, which has a larger magnitude, is smaller
than the first (although neither are actually related to ` y ` ). The change
in ` y ` for a “1-unit increase” in ` x ` depends on the units of ` x ` .
... | |
R_base_all/ts_moving_averages6_3_0.txt | ## tl;dr
1. Replication Requirements : What you’ll need to replicate the analysis in this tutorial
2. Centered Moving Averages : Technique for calculating and displaying a simple moving average
3. Moving Averages of Moving Averages : Using the concept of simple moving averages to perform multi-step smoothi... | |
R_base_all/R_base_all_349_1.txt | utes(x) <- list(mycomment = "really special", dim = 3:2,
dimnames = list(LETTERS[1:3], letters[1:5]), names = paste(1:6))
x # dim(), but not {dim}names
# }
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R_base_all/R_base_all_264_2.txt | n needed”_ : when `
zero.print ` is not ` NULL ` , ` drop0trailing ` is true, or one of ` big.mark
` , ` small.mark ` , or ` decimal.mark ` is not at default.)
If you set ` format ` it overrides the setting of ` mode ` , so `
formatC(123.45, mode = "double", format = "d") ` gives ` 123 ` .
The rendering of scientific... | |
R_base_all/R_base_all_222_1.txt | "LC_COLLATE" `
, ` "LC_CTYPE" ` , ` "LC_MONETARY" ` and ` "LC_TIME" ` .
Attempts to set an invalid locale are ignored. There may or may not be a
warning, depending on the OS.
Attempts to change the character set (by ` Sys.setlocale("LC_CTYPE", ) ` , if
that implies a different character set) during a session may not ... | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_137_0.txt | Share
Follow | |
R_base_all/R_base_all_293_1.txt | object via a connection, which will be opened as needed.
con <- gzfile(fil)
readRDS(con)
close(con)
## Less convenient ways to restore the object
## which demonstrate compatibility with unserialize()
con <- gzfile(fil, "rb")
identical(unserialize(con), women)
close(con)
con <- ... | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_54_0.txt | – JelenaČuklina
Jan 11, 2016 at 11:42 | |
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# sum: Sum of Vector Elements
## Description
` sum ` returns the sum of all the values prese... | |
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# memCompress: In-memory Compression and Decompression
## Description
In-memory compression ... | |
R_base_all/80542_11_0.txt | 4 Likes
Andrew May 4, 2018, 2:35pm 4 | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_145_0.txt | – Apricot
Jun 17, 2019 at 4:38 | |
R_base_all/R_base_all_131_2.txt | onth, useNA = "always"))
with(airquality,
table(OzHi = Ozone > 80, addNA(Month)))
# }
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R_base_all/weighted-average-excel4_263_0.txt | thanks for your prompt reply - I figured out what was wrong about it. The
negative values were not negative initially - I made them using a custom
number formula hence why I thought the formula was not working. After making
each value negative manually it worked.
Thanks!! | |
R_base_all/R_base_all_209_0.txt | [ RDocumentation ](/)
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[ base (version 3.6.2 ) ](/packages/base/versions/3.6.2)
# Quotes: Quotes
## Description
Descriptions of the various uses of quoting in R .
## Ar... | |
R_base_all/pandas.Series.str.split.html8_4_1.txt | * pandas.Series.add_prefix
* pandas.Series.add_suffix
* pandas.Series.filter
* pandas.Series.backfill
* pandas.Series.bfill
* pandas.Series.dropna
* pandas.Series.ffill
* pandas.Series.fillna
* pandas.Series.interpolate
* pandas.Series.isna
* pandas.Series.isnull
... | |
R_base_all/weighted-average-excel4_169_0.txt | Reply
* Himanshu says: | |
R_base_all/R_base_all_268_0.txt | [ RDocumentation ](/)
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[ base (version 3.6.2 ) ](/packages/base/versions/3.6.2)
# readChar: Transfer Character Strings To and From Connections
## Description
Transfer chara... | |
R_base_all/weighted-average-excel4_186_0.txt | Now, there may a case when one person rated product A 10 our of 10 Vs 100
people rated another product B 9 out of 10. Obviously, I am safer with going
for Product B, but how can excel be of help?
To make it more complex, if there were attributes of user ratings(like ease of
use, durable, design etc), how to see this c... | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_87_0.txt | 262k 22 22 gold badges 370 370 silver badges 490 490 bronze badges
0 | |
R_base_all/pandas.Series.str.split.html8_29_0.txt | ` str.split `
| |
R_base_all/R_base_all_379_1.txt | .6.2) .
_ R has no single precision data type. All real numbers are stored in double
precision format _ . The functions ` as.single ` and ` single ` are identical
to ` as.double ` and ` double ` except they set the attribute ` Csingle ` that
is used in the ` [ .C ](/link/.C?package=base&version=3.6.2) ` and ` [
.Fort... | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_189_0.txt | Splitting a data.table column based on a regular expression
2 | |
R_base_all/simulation.html8_19_0.txt | We can plot the results of the model simulation.
> plot(x, y) | |
R_base_all/weighted-average-excel4_191_0.txt | and then examine the results
You may want to give some criteria differing importance and this can be done
by giving such criteria a score of between 1 and 20 etc | |
R_base_all/weighted-average-excel4_332_0.txt | I have Scores, Weight, Goal in my excel but I was wondering how to get the
actual percentage. Can someone help me?
Reply |
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