goeg | Source code for the book

by misheska Go Version: Current License: Apache-2.0

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kandi X-RAY | goeg Summary

goeg is a Go library. goeg has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Programming in Go by Mark Summerfield. Copyright 2011-12 Qtrac Ltd. All the programs, packages, and associated files in this archive are licensed under the Apache License, Version 2.0 (the "License"); you may not use these files except in compliance with the License. You can get a copy of the License at: (The License is also included in this archive in file LICENSE-2.0.txt.). Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. All the book's examples are designed to be educational, and many are also designed to be useful. I hope that you find them helpful, and are perhaps able to use some of them as starting points for your own projects.

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Support

goeg has a low active ecosystem.

It has 21 star(s) with 17 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

goeg has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of goeg is current.

Quality

goeg has no bugs reported.

Security

goeg has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

goeg is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

goeg releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed goeg and discovered the below as its top functions. This is intended to give you an instant insight into goeg implemented functionality, and help decide if they suit your requirements.

drawLine draws a line .
makeSizerFunc returns a function that returns the function s dimensions .
TarFileList returns a list of files named by filename .
ssizer returns the width and height of an image
americanise reads from inFile and writes to outFile .
GOMAXPROCS gompile command line args .
utf16toutf8 reads utf8 bytes from infile .
CommonPathPrefix returns the common prefix of paths .
readPlsPlaylist parses a pls playlist
size images .

Get all kandi verified functions for this library.

goeg Key Features

No Key Features are available at this moment for goeg.

goeg Examples and Code Snippets

No Code Snippets are available at this moment for goeg.

Community Discussions

Trending Discussions on goeg

R - Adstock by group

QUESTION

R - Adstock by group

Asked 2017-Jul-03 at 07:17

I am trying to create the adstock effect for some variable (adstock is defined as value of the previous observation + value of previous observation*adstock rate). I have a table abc that has two columns: GEOG (A, B ,C) and GRPs (1 to 6) for a total of 18 observations. I would like to create a variable b by taking the first obs of the first GEOG and adstocking it by say .5. Then when I get to the first obs of the second GEOG, reinitialize it=to GRPs and do it again. I created a code that works really well with only one geography. But I cannot figure out how to do it BY geography. Coming from a different statistical language, I am still wrapping my head around the way R works. Can anyone help? Thanks in advance. Here is the code that works for one GOEG:

...

ANSWER

Answered 2017-Jul-03 at 07:17

transfo <- function(df, rate1 = 0.5, rate2 = 0) {

  b <- df[["a"]]

  for (i in seq_along(b)) { 
    if (i == 2) {
      b[i] <- b[i] + rate1 * b[i-1]
    } else if (i > 2) {
      b[i] <- b[i] + rate1 * b[i-1] + rate2 * b[i-2]
    }
  }

  df[["b"]] <- b
  df
}

abc %>%
  group_by(GEOG) %>%
  nest() %>%
  mutate(data = map(data, transfo)) %>%
  unnest(data)

Source https://stackoverflow.com/questions/44875878

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install goeg

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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