id stringlengths 16 145 | text stringlengths 1 179k | title stringclasses 1
value |
|---|---|---|
R_base_all/R_base_all_42_0.txt | [ RDocumentation ](/)
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# Sys.getenv: Get Environment Variables
## Description
` Sys.getenv ` obtains the values of ... | |
R_base_all/weighted-average-excel4_33_0.txt | ### Get FREE Excel + Power BI Tips
Simple, fun and useful emails, once per week.
Learn & be awesome. | |
R_base_all/ts_moving_averages6_8_0.txt |
savings <- economics %>%
select(date, srate = psavert) %>%
mutate(srate_ma01 = rollmean(srate, k = 13, fill = NA),
srate_ma02 = rollmean(srate, k = 25, fill = NA),
srate_ma03 = rollmean(srate, k = 37, fill = NA),
srate_ma05 = rollmean(srate, k = 61, fill ... | |
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# QR.Auxiliaries: Reconstruct the Q, R, or X Matrices from a QR Object
## Description
Return... | |
R_base_all/index.html6_51_0.txt | I have also bound the offspring number to the data set ` sp_1 ` . Here is what
it looks like below.
species | Length | Width | Mass | offspring
---|---|---|---|---
species_1 | 160.0961 | 249.7890 | 25.93705 | 3
species_1 | 160.5342 | 247.5876 | 26.06193 | 3
species_1 | 159.9338 | ... | |
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# NumericConstants: Numeric Constants
## Description
How R parses numeric constants.
## ... | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_89_0.txt | here is a one liner along the same lines as aniko's solution, but using
hadley's stringr package:
do.call(rbind, str_split(before$type, '_and_'))
| |
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# DateTimeClasses: Date-Time Classes
## Description
Description of the classes ` "POSIXlt" `... | |
R_base_all/index.html6_24_0.txt | In the above, there are ` n = 10 ` trials, but each trial consists of only a
single coin flip ( ` size = 1 ` ). But we can equally well interpret the
results as a series of ` n ` coin flips that come up either heads ( ` 1 ` ) or
tails ( ` 0 ` ). This latter interpretation can be especially useful to write
code that ran... | |
R_base_all/R_base_all_303_2.txt |
## adding a column
sw["new1"] <- LETTERS[1:5] # adds a character column
sw[["new2"]] <- letters[1:5] # ditto
sw[, "new3"] <- LETTERS[1:5] # ditto
sw$new4 <- 1:5
sapply(sw, class)
sw$new # -> NULL: no unique partial match
sw$new4 <- NULL # delete the column
sw
sw... | |
R_base_all/weighted-average-excel4_292_0.txt | Reply
* Hui... says: | |
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# charmatch: Partial String Matching
## Description
` charmatch ` seeks matches for the elem... | |
R_base_all/pandas.Series.str.split.html8_8_0.txt | Parameters :
| |
R_base_all/simulation.html8_28_0.txt | To sample more complicated things, such as rows from a data frame or a list,
you can sample the indices into an object rather than the elements of the
object itself.
Here’s how you can sample rows from a data frame. | |
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# Internal: Call an Internal Function
## Description
` .Internal ` performs a call to an int... | |
R_base_all/R_base_all_179_1.txt | f [ double
](/link/double?package=base&version=3.6.2) precision numbers, either or both
of which can be ` [ NaN ](/link/NaN?package=base&version=3.6.2) ` (including `
NA ` , see ` [ NA_complex_ ](/link/NA_complex_?package=base&version=3.6.2) `
and above) or plus or minus infinity.
## References
Becker, R. A., Chambe... | |
R_base_all/getting-started-simulating-data8_39_0.txt | You see I’m still writing out my argument names for clarity, but you may be
getting a sense how easy it would be to start cutting corners to avoid the
extra typing.
set.seed(16)
y = rnorm(n = 100, mean = 0, sd = 1)
x1 = runif(n = 100, min = 1, max = 2)
head(x1)
[1] 1.957004 1.08... | |
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# options: Options Settings
## Description
Allow the user to set and examine a variety of gl... | |
R_base_all/R_base_all_183_0.txt | [ RDocumentation ](/)
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# lower.tri: Lower and Upper Triangular Part of a Matrix
## Description
Returns a matrix of ... | |
R_base_all/pandas.Series.str.split.html8_44_0.txt |
>>> s = pd.Series(['foojpgbar.jpg'])
>>> s.str.split(r".", expand=True)
0 1
0 foojpgbar jpg
>>> s.str.split(r"\.jpg", expand=True)
0 1
0 foojpgbar
When ` regex=True ` , pat is interpreted as a regex | |
R_base_all/R_base_all_390_1.txt | s to mode ` "qr" ` . Objects either are QR
decompositions or they are not.
The LINPACK interface is restricted to matrices ` x ` with less than
\\(2^{31}\\) elements.
` qr.fitted ` and ` qr.resid ` only support the LINPACK interface.
Unsuccessful results from the underlying LAPACK code will result in an error
giving... | |
R_base_all/1358206-date-manipulation-volume-weighted-average1_30_0.txt | #4
28 Sep 2016, 01:58 | |
R_base_all/pandas.Series.str.split.html8_45_0.txt |
>>> s.str.split(r"\.jpg", regex=True, expand=True)
0 1
0 foojpgbar
A compiled regex can be passed as pat | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_44_0.txt | – maycca
May 22, 2018 at 19:32 | |
R_base_all/R_base_all_178_0.txt | [ RDocumentation ](/)
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# rapply: Recursively Apply a Function to a List
## Description
` rapply ` is a recursive ve... | |
R_base_all/getting-started-simulating-data8_73_0.txt | We now have some tools for creating quantitative data as well as categorical.
Which means it’s time to make some datasets! We’ll create several simple ones
to get the general idea.
## Simulate data with no differences among two groups | |
R_base_all/weighted-average-excel4_296_0.txt | Thanks for this, i found it very useful.
I'm having problems finding a weighted average when dealing with time spent in
a task, because each entry has its own time...
I don't know if I'm being clear on this, english is not my mother language,
sorry. | |
R_base_all/Simulation.html9_1_0.txt | This lesson assumes familiarity with a few common probability distributions,
but these topics will only be discussed with respect to random number
generation. Even if you have no prior experience with these concepts, you
should be able to complete the lesson and understand the main ideas.
The first function we’ll use ... | |
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# is.recursive: Is an Object Atomic or Recursive?
## Description
` is.atomic ` returns ` TRU... | |
R_base_all/R_base_all_59_0.txt | [ RDocumentation ](/)
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# Sys.localeconv: Find Details of the Numerical and Monetary Representations
in the Current Loc... | |
R_base_all/weighted-average-excel4_20_0.txt | If you have count of observations instead of weights, you can still use the
SUMPRODUCT formula to calculate weighted average in Excel.
Here is the formula for above example: | |
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# Sys.info: Extract System and User Information
## Description
Reports system and user infor... | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_167_0.txt | Add a comment |
1 | |
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# toString: Convert an R Object to a Character String
## Description
This is a helper functi... | |
R_base_all/ts_moving_averages6_6_0.txt |
## Centered Moving Averages | |
R_base_all/weighted-average-excel4_316_0.txt | August 6, 2015 at 1:01 am
How would I use this formula in a whole column, while keeping the same row of
numbers for the sum? Here's an example: | |
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# typeof: The Type of an Object
## Description
` typeof ` determines the ( R internal) typ... | |
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# merge: Merge Two Data Frames
## Description
Merge two data frames by common columns or row... | |
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# InternalMethods: Internal Generic Functions
## Description
Many R -internal functions ar... | |
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# make.names: Make Syntactically Valid Names
## Description
Make syntactically valid names o... | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_25_0.txt | Thanks for any pointers. I've not quite groked R lists just yet.
* r
* string
* dataframe
* split
* r-faq | |
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# dim: Dimensions of an Object
## Description
Retrieve or set the dimension of an object.
#... | |
R_base_all/simulation.html8_18_0.txt | where \\(\varepsilon\sim\mathcal{N}(0,2^2)\\) . Assume
\\(x\sim\mathcal{N}(0,1^2)\\) , \\(\beta_0=0.5\\) and \\(\beta_1=2\\) .
The variable ` x ` might represent an important predictor of the outcome ` y `
. Here’s how we could do that in R.
> ## Always set your seed!
> set.seed(20) ... | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_138_0.txt | answered Jul 22, 2016 at 20:34
lmo lmo | |
R_base_all/ts_moving_averages6_0_0.txt | Follow me on twitter @bradleyboehmke
Home Course: Intro to R Bootcamp Course: Data Wrangling with R Introduction
to R R Basics Workflow RStudio Projects R Markdown R Notebook Data Types
Dealing with Numbers Dealing with Characters Dealing with Regex Dealing
with Factors Dealing with Logical Values Deali... | |
R_base_all/R_base_all_114_1.txt | ndent characters.
[:upper:]
Upper-case letters in the current locale.
[:xdigit:]
Hexadecimal digits: 0 1 2 3 4 5 6 7 8 9 A B C D E F a b c d e f .
For example, [[:alnum:]] means [0-9A-Za-z] , except the latter depends
upon the locale and the character encoding, whereas the former is independent
o... | |
R_base_all/R_base_all_200_3.txt | package=base&version=3.6.2) ` .
[ https://en.wikipedia.org/wiki/Time_zone
](https://en.wikipedia.org/wiki/Time_zone) and [ https://data.iana.org/time-
zones/tz-link.html ](https://data.iana.org/time-zones/tz-link.html) for
extensive sets of links.
[ https://data.iana.org/time-zones/theory.html ](https://data.iana.org... | |
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# lengths: Lengths of List or Vector Elements
## Description
Get the length of each element ... | |
R_base_all/getting-started-simulating-data8_92_0.txt |
rep(LETTERS[3:4], each = 10)
[1] "C" "C" "C" "C" "C" "C" "C" "C" "C" "C" "D" "D" "D" "D" "D" "D" "D" "D" "D"
[20] "D"
Let’s make a dataset that has two quantitative variables, unrelated to both
each other and the groups. One variable ranges from 10 and 15 and one from 100
and 150. | |
R_base_all/weighted-average-excel4_328_0.txt | * Hui... says:
January 15, 2016 at 2:13 pm | |
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# regex: Regular Expressions as used in R
## Description
This help page documents the regula... | |
R_base_all/R_base_all_250_1.txt | package=base&version=3.6.2) ` , ` [ is.nan
](/link/is.nan?package=base&version=3.6.2) ` , etc., and the utility function
` [ complete.cases ](/link/complete.cases?package=base&version=3.6.2) ` .
` [ na.action ](/link/na.action?package=base&version=3.6.2) ` , ` [ na.omit
](/link/na.omit?package=base&version=3.6.2) ` , ... | |
R_base_all/weighted-average-excel4_262_0.txt | 54. Saw-Fro says:
August 17, 2013 at 9:23 am | |
R_base_all/1358206-date-manipulation-volume-weighted-average1_8_0.txt | * Filter
* Time | |
R_base_all/getting-started-simulating-data8_54_0.txt | ## Using letters and LETTERS
The first argument of ` rep() ` is the vector to be repeated. One option is to
write out the character vector you want to repeat. You can also get a simple
character vector through the use of ` letters ` or ` LETTERS ` . These are
built in constants in R. ` letters ` is the 26 lowercase ... | |
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R_base_all/index.html6_4_0.txt | * * *
* Introduction: Simulating data
* Univariate random numbers
* Random uniform: ` runif `
* Random normal: ` rnorm `
* Random poisson: ` rpois `
* Random binomial: ` rbinom `
* Random sampling using ` sample `
* Sampling random numbers from a list
* Sampling random characters from ... | |
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# format.pval: Format P Values
## Description
` format.pval ` is intended for formatting p-v... | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_136_0.txt |
out <- setNames(data.frame(before$attr,
do.call(rbind, strsplit(as.character(before$type),
split="_and_"))),
c("attr", paste0("type_", 1:2)))
out
attr type_1 type_2
1 1 foo bar
2 30 fo... | |
R_base_all/weighted-average-excel4_26_0.txt | ## Download Weighted Average Calculation Example Workbook:
In this workbook, you can find 4 examples on how to to calculate weighted
average in excel. Go ahead and download it to understand the formulas
better. | |
R_base_all/R_base_all_199_6.txt | us plotting (default 500). The values at
the time the device is opened are used.
## Other options used by package graphics
` max.contour.segments ` :
positive integer, defaulting to ` 25000 ` if not set. A limit on the number of
segments in a single contour line in ` [ contour
](/link/contour?package=base&ver... | |
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# prop.table: Express Table Entries as Fraction of Marginal Table
## Description
This is rea... | |
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# icuSetCollate: Setup Collation by ICU
## Description
Controls the way collation is done by... | |
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# gettext: Translate Text Messages
## Description
If Native Language Support was enabled in ... | |
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# standardGeneric: Formal Method System -- Dispatching S4 Methods
## Description
The functio... | |
R_base_all/weighted-average-excel4_181_0.txt | Reply
* Hui says: | |
R_base_all/weighted-average-excel4_343_0.txt | Reply
73. KVM says: | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_58_0.txt | Jul 11, 2023 at 20:32
Add a comment | | |
R_base_all/weighted-average-excel4_30_0.txt | ## More examples on Averages and Formulas:
* Syntax and Examples of Excel Average Formula
* Formula for Average of Top 5 values
* Calculating Moving Average in Excel
* Using SUBTOTAL formula and calculating averages
* Showing Averages in Pivot Tables | |
R_base_all/1358206-date-manipulation-volume-weighted-average1_12_0.txt | * Pierre Louveau
* Join Date: Sep 2016
* Posts: 2
* * * * | |
R_base_all/R_base_all_229_1.txt | code
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# NOT RUN {
iter <- stats::rpois(1, lambda = 10)
## print an informative message
cat("i... | |
R_base_all/1188876_16_0.txt | Powered by Discourse , best viewed with JavaScript enabled
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R_base_all/1188876_2_0.txt | Hi all. I was wondering how to identify and then split certain values in
string vectors. Say we have the simplified dataframe:
df <- data.frame(
var1 = c("1", "2,3", "4", "5"),
var2 = c("3", "4", "5,6", "7,8"),
var3 = c("2", "5", "6", "9,10")
)
| |
R_base_all/getting-started-simulating-data8_37_0.txt |
runif(n = 5, min = 50, max = 100)
[1] 81.56680 66.91604 82.70027 64.29244 54.17023
## Example of using the simulated numbers from runif() | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_12_0.txt | Ask questions, find answers and collaborate at work with Stack Overflow for
Teams.
Explore Teams Create a free Team | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_160_0.txt | Mark Mark
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R_base_all/R_base_all_138_2.txt | zz, justify = "left")
## use of nsmall
format(13.7)
format(13.7, nsmall = 3)
format(c(6.0, 13.1), digits = 2)
format(c(6.0, 13.1), digits = 2, nsmall = 1)
## use of scientific
format(2^31-1)
format(2^31-1, scientific = TRUE)
## a list
z <- list(a = letters[1:3], b ... | |
R_base_all/index.html6_22_0.txt | I have not printed the above ` coin_flips_10000 ` for obvious reasons, but we
can use a histogram to look at the results.
hist(coin_flips_10000, xlab = "Random value (X)", col = "grey",
main = "", cex.lab = 1.5, cex.axis = 1.5); | |
R_base_all/getting-started-simulating-data8_44_0.txt | > rpois(n, lambda)
The single parameter argument, ` lambda ` , is the mean. It has no default
setting so must always be defined by the user. | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_166_0.txt | Ronak Shah Ronak Shah
384k 20 20 gold badges 164 164 silver badges 222 222 bronze badges | |
R_base_all/getting-started-simulating-data8_104_0.txt |
set.seed(16)
replicate(n = 3,
expr = rnorm(n = 5, mean = 0, sd = 1),
simplify = FALSE )
[[1]]
[1] 0.4764134 -0.1253800 1.0962162 -1.4442290 1.1478293
[[2]]
[1] -0.46841204 -1.00595059 0.06356268 1.02497260 0.57314202
[[3]]
... | |
R_base_all/getting-started-simulating-data8_117_0.txt | Please enable JavaScript to view the comments powered by Disqus.
© 2024 Ariel Muldoon CC BY-SA 4.0 | |
R_base_all/weighted-average-excel4_341_0.txt | November 22, 2016 at 1:37 am
@Sherrie | |
R_base_all/R_base_all_252_0.txt | [ RDocumentation ](/)
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# sQuote: Quote Text
## Description
Single or double quote text by combining with appropriat... | |
R_base_all/R_base_all_103_1.txt | ude ranges such as ` [A-Z] ` : include ` - ` as a
character by having it first or last in a class. (In the current
implementation ranges are in the numeric order of Unicode code points.)
One can remove the special meaning of ` ? ` , ` * ` and ` [ ` by preceding
them by a backslash (except within a character class). No... | |
R_base_all/weighted-average-excel4_42_0.txt | Get started with Power BI
Still on fence about Power BI? In this getting started guide, learn what is
Power BI, how to get it and how to create your first report from scratch. | |
R_base_all/weighted-average-excel4_312_0.txt | @Kian
Depending on exactly what your doing there may be other functions that can be
used as well
Please ask the question in the Chandoo.org Forums and attach a sample file
http://chandoo.org/forum/ | |
R_base_all/R_base_all_428_1.txt | g) ` is equivalent to but more efficient than ` pkg %in%
loadedNamespaces() ` .
` unloadNamespace ` can be used to attempt to force a name space to be
unloaded. If the name space is attached, it is first ` [ detach
](/link/detach?package=base&version=3.6.2) ` ed, thereby running a ` [
.onDetach ](/link/.onDetach?packa... | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_180_0.txt | Not the answer you're looking for? Browse other questions tagged
* r
* string
* dataframe
* split
* r-faq | |
R_base_all/R_base_all_102_0.txt | [ RDocumentation ](/)
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# missing: Does a Formal Argument have a Value?
## Description
` missing ` can be used to te... | |
R_base_all/pandas.Series.str.split.html8_50_0.txt | * ` Series.str.split() `
Show Source | |
R_base_all/R_base_all_425_0.txt | [ RDocumentation ](/)
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# zutils: Miscellaneous Internal/Programming Utilities
## Description
Miscellaneous internal... | |
R_base_all/getting-started-simulating-data8_36_0.txt |
runif(n = 5, min = 0, max = 1)
[1] 0.9994220 0.9432766 0.2496042 0.6482484 0.1125788
What if we want to generate 5 numbers between 50 and 100? We change the values
for the parameter arguments. | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_80_0.txt | Apr 4, 2023 at 1:55
Add a comment | | |
R_base_all/getting-started-simulating-data8_116_0.txt | * *
* * * * * | |
R_base_all/Simulation.html9_21_0.txt | Finally, what if we want to simulate 100 groups of random numbers, each
containing 5 values generated from a Poisson distribution with mean 10? Let’s
start with one group of 5 numbers, then I’ll show you how to repeat the
operation 100 times in a convenient and compact way.
Generate 5 random values from a Poisson di... | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_117_0.txt | – MEC
Feb 21, 2023 at 19:56 | |
R_base_all/weighted-average-excel4_194_0.txt | hello. i would like to know how can i use weighted average for statistical
data analysis. i`ve collected data by using a likert scale type. number from 0
to 5
Reply | |
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# identical: Test Objects for Exact Equality
## Description
The safe and reliable way to tes... | |
R_base_all/split-data-frame-string-column-into-multiple-columns0_144_0.txt | 1
* This is by far the easiest when it comes to managing df vectors |
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