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Power is an American crime drama television series created and produced by Courtney A. Kemp in collaboration with Curtis Jackson. It aired on the Starz network from June 7, to February 9, Upon release, Power gained positive reviews for its pacing, atmosphere, and acting. Power tells the story of James St. Patrick Omari Hardwicka ruthless, intelligent drug dealer under the street name "Ghost", who wishes to leave the criminal world to pursue legitimate business interests as a nightclub owner. Patrick aims to balance these two lives, while avoiding police capture amid a crumbling marriage and shifting economic alliances.

In Australia, all episodes are available to stream after their US airing on Stan. Season 1 of Power received mixed reviews from critics. Review aggregator Metacritic gives the season a score of 57 out ofbased on 15 reviews, indicating a mixed reaction to the series.

The site's consensus states, " Power suffers from excessive plotting and the use of overly familiar by-the-numbers story elements. Tim Goodman of The Hollywood Reporter observed in his review, " Power seemingly wants to be a show that tells a big, complicated, meaningful story about, well, the perils and problems of power and how one man deals with them.

Throw a couple of great women into Ghost's life—his wife, Tasha Naturi Naughtonand his recently resurfaced lifelong flame Angela Lela Loren —and you have drama that's hard not to keep watching.

Kemp, move briskly enough, but they're still only moderately compelling. And while 50 Cent's participation provides some promotional heft he has a cameo in a later episodethe allure of such behind-the-scenes marquee names is usually limited.

Mostly, this is undemanding escapism with all the requisite pay-TV trappings, along the lines of what Cinemax is offering in episodic form. While that might be a formula to keep Ghost visible for some time to come, creatively speaking, it leaves Power a touch low on juice. With the ending of the original series, it was announced that Starz had four upcoming spin-offs planned in the same world as Power.

Blige and Method Man. From Wikipedia, the free encyclopedia. Courtney A. Sung Kang Larenz Tate.

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End of Episode, Inc. CBS Television Studios. Main article: List of Power episodes. September 10, Retrieved December 30, Deadline Hollywood.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information.

Edit: Just looked at Caracal's answer thanks mate. Looks amazing, but your coding is totally different to my attempts:. I tried to convert Caracal's coding to my sample size and although it worked, the graph is crazy!

Create Power BI visuals by using Python

To get a plot of power vs effect size, you do need to fix a sample size. Learn more. Power vs Effect Size plot Ask Question. Asked 9 years, 6 months ago. Active 9 years, 6 months ago. Viewed 5k times.

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I want to do a plot of power vs effect size. Any ideas? Archie Archie 21 1 1 silver badge 3 3 bronze badges. Active Oldest Votes. Thanks mate. Having probs trying to insert my data. Got any tips? Archie Edited to include one-sample t-Test. Aniko Aniko Sign up or log in Sign up using Google. Sign up using Facebook.

power plot in r

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Interactive Charts using R and Power BI: Create Custom Visual Part 1

Hot Network Questions. Question feed. Stack Overflow works best with JavaScript enabled.This tutorial explains how to use the plot function in the R programming language.

We simply need to specify our x- and y-values separated by a comma:. Figure 1: Basic Application of plot Function in R. Figure 1 shows the output of the plot function: A scatterplot of our two vectors. In combination with the density function, the plot function can be used to create a probability density plot in R:. Figure 3 shows that our variable x is following a normal distribution. The small peaks in the density are due to randomness during the data creation process.

If we replace the plot function with the lines function, we can add a second density to our previously created kernel density plot. Have a look at the following R code:. Figure 4 contains multiple normally distributed densities, i. The plot function provides many arguments for the modification of its parameters.

For instance, we can change the main title and the axis labels of our plot as follows:. Have a look at the help documentation of the plot function to find all the provided arguments and options. As you can see in Figure 6, the first group is colored in black and its symbols are round dots. The second group, in contrast, is represented by red triangles.

Whenever we show groups in a graphic, diagram or chart in Rwe should add a legend to our plot. First, we need to create our plot as shown before:.

The plot function also allows to draw a function in R. Then we first need to create a sequence of x-values…. Of cause, we could modify this plot with different line typescolors, axis labels etc. If you need further explanations on the R programming syntax of this article, you might want to watch the following video of my YouTube channel. I explain the R code of this article in the video. In addition, you might have a look at the related posts on this website.

Some other articles are shown below:. To summarize: This tutorial illustrated how to make xy-plots and line graphs in R.This is the fifth article of a series dedicated to discovering geographic map tools in Power BI. Take a pill for a headache and immerse yourself in a world ruled by command lines with obscure syntax; but if you commit yourself to learn, an unbelievable power will raise from your scripts.

In other words: welcome to R. R is the most common open-source language for statistical computing and graphics. R provides a wide variety of statistical and graphical techniques, and it is highly extensible. R is shipped with a huge number of packages for spatial data, analysis and plotting.

power plot in r

Many kinds of maps geographic, choropleths, projections, topological, animated and many drawing options are available using R. R scripts are fully supported and integrated with Power BI, offering the way for performing statistical analysis and creating compelling visuals. The integration of R in Power BI, grants access to a rich array of data visualizations that are not present in the standard Power BI visuals set.

In the current article, we will focus on the way to exploit the power of R for creating maps and performing spatial analysis on data. You could also have more than one R version installed on your machine, like me. Then you got to choose which R you want to use in your Power BI report.

Simply click on the dropdown list and select the appropriate version. Some packages are required to complete the demo. Open R Studio. In the Console Window enter the following command once a time :.

There is a bunch of packages in R for spatial data. The above-mentioned are just the most common. Some additional packages will be required further on. Unfortunately, before getting started, a preliminary step is required. Google Maps API is not a free service, but there an allowance of 40, calls for months that allows testing without any fee.

Register your API key at this address.

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If you want to know more about Google geo-location APIs, please visit the following link. Now it is time for building our first map. Afterwards, we will repeat the same procedure in Power BI. Please pay attention that R is case-sensitive, when writing your script. The file contains data for some European cities with population and geographic coordinates Latitude and Longitude.

Import the file in R Studio. In the blank empty window write the following code:. As you can see, R allows full control of every aspect of visualization. Open Power BI Desktop. Back to report view. Drag and drop an R visual to the canvas. At the bottom of the screen, the R script editor opens. This is the area where to write R scripts to be executed. But, first of all, we need some data. This is what happens on row This site uses cookies and by using the site you are consenting to this.

To learn more about cookies, click here to read our privacy statement. However, it can be challenging to know the best times to use R. Therefore, this blog post provides a brief list of guidelines and examples to help determine when to leverage R functionality inside of Power BI. The number of built-in and custom visualizations available within Power BI — including the recent custom R visualizations — continues to increase.

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However, sometimes you simply need the additional customizations provided by R. One example is the use of facets available with the ggplot2 package. Facets allow you to add extra dimensions to a base plot to create subplots. The base plot is created with the ggplot2 package and displays engine displacement versus highway MPG.

It will also feature some minimal formatting. The base plot is a simple scatter plot, but allows for customization and interaction with Power BI filters.

This plot could be produced using native Power BI functionality. However, for consistency, everything is being rendered using R visuals. Now we would like to group the plot by number of cylinders and drive type 4 -wheel, f ront-wheel, r ear-wheel.

Here is the updated code to accomplish this as well as the resulting Power BI canvas. The color aesthetic was removed because facets are being applied. The resulting plot diplayed on the Power BI canvas contains subplots and as with the previous plot, it is dynamic.

That means it responds to Power BI filters and selections. There are many more complex visualizations available in R. If you are looking for a visualization that is not readily available, consider some of the R graphics packages.

The learning curve is not too steep and it is well worth the effort to get that little something extra into your visualizations. R has an extensive capability to manipulate and transform data. There may be instances where it is necessary to transform data after it has been imported into Power BI in a way that is somewhat challenging to implement in Power BI.

One example is data is at an aggregate level but for the purposes of data analysis it needs to be deconstructed. Granted, this is a very specific use case but it goes to demonstrate the capabilities of R and Power BI.

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Here is an example where data Is only available at the aggregate level but does not provide enough information for prediction. The data will be de-constructed to provide the necessary observations. Below is sample auto sales data provided in aggregate in an Excel spreadsheet. The goal is to deconstruct the data to get to a pseudo-transaction level.

Rows correspond to the summarized quantity. This type of transformation can be easily performed using R. After the script is executed, two tables have been created. The original source table and the de-constructed table.About 1 billion people worldwide use Microsoft Office 1 in 7 people on the planet; source: Microsoft.

R plots can be customized to be as beautiful as your imagination can make them. Unfortunately, preserving this beauty is not always an easy task when you want to publish these graphs or show them in a professional presentations. However, it would be very difficult to remake the whole presentation in a different format. The answer of this question is yes and no. There have been several attempts to solve this problem, but many of them are not easy to use.

One of the previous solutions is R2PPT package. The goal of this R tutorial is to show you how to easily and quickly, format and export R outputs including data tables, plots, paragraphs of text and R scripts from R statistical software to a Microsoft PowerPoint document. This is very important to understand the examples provided in this tutorial. When creating a new slide, you should specify the layout of the slide. A simplified format of the function is :.

Among the possible values for the argument slide. However, you should use only the available slide layouts in your computer. Note that, the selected layout determines the contents you can add into the slide See the figure above. Whatever the slide layout chosen, you can use the functions addDateaddFooter and addPageNumber to add date, footer and slide number, respectively.

power plot in r

The R code below creates a PowerPoint document with a title slide, plots, tables, and an R script :. Note that, you can use addPageNumber function without specifying the value of the slide number, as follow :. In this case slide number is added using the default setting e. The default font size and font family of the PowerPoint can be modified as follow :.

The function pot [Pieces Of Text] is used to modify the appearance of a text. It can be used also to create a hyperlink.

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The format is :. The R code below creates a PowerPoint document containing a formatted text and a hyperlink :. The functions addPlot and addImage can be used for adding a plot or an external image to the document.

The R code below creates a PowerPoint document containing a histogram and an image downloaded from R website :. The PowerPoint document created by the R code above is available here : R software and ReporteRs package - PowerPoint document containing plots and images. Note that, addPlot function can take other arguments such as pointsize to change the size of plotted texts default value is 12; in pixels. The example below creates a PowerPoint document with 3 slides containing a simple table slide 1vanilla table slide 2 and a zebra striped table slide 3 :.

The example below generates a one-slide PowerPoint document containing an ordered and unordered lists :. Note that, if you use a template file to create a PowerPoint document, slide layouts are those available in the template. Note that, the template file contains already one empty slide which can be removed manually.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service.

Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I tried using the package poweRlaw to plot a few powerlaw fits. It seems working for a single curve. But I could not plot multiple plots on the same graph. Ref: Is there a way within this package? I am a novice].

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You can use the lines commands to add multiple best fitting power-laws. So, using your data:. Next, we set xmin and alpha for each power-law and add it to the graph using lines :.

If you want to have multiple data sets on the same plot, the easiest way is to plot one data set, but save the data as a data frame. For example, generate some data sets:. Learn more. Multiple power law plots with package poweRlaw Ask Question.

Asked 7 years, 4 months ago. Active 7 years, 3 months ago. Viewed 2k times. I am a novice] set. Active Oldest Votes. So, using your data: set. For example, generate some data sets: set. Will wait for the varying "xmins" version. Well, what I actually wanted to plot is something like the following:! AttuD See the updated answer.

Create Power BI visuals using R

In future versions, I'll probably add an argument to the plot function to make this easier. Thanks, I got it. And I did almost the same way you did.

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