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1. Top results related to returns to a factor

   • To change replication factor of a directory in hadoop

     Top Answer

     Answered May 31, 2015 · 29 votes

     You can change the replication factor of a file using command:

     hdfs dfs –setrep –w 3 /user/hdfs/file.txt -

     You can also change the replication factor of a directory using command:

     hdfs dfs -setrep -R 2 /user/hdfs/test

     But changing the replication factor for a directory will only affect the existing files and the new files under the directory will get created with the default replication factor (dfs.replication from hdfs-site.xml) of the cluster.

     Please see the link to understand more on it.

     Please see link to configure replication factor for HDFS.

     But you can temporarily override and turn off the HDFS default replication factor by passing:

     -D dfs.replication=1

     This should work well when you pass it with a Map/Reduce job. This will be your job specific only.

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   • assigning a factor to a data frame

     Top Answer

     Answered Jun 14, 2011 · 5 votes

     Here's another approach using the plyr package:

     library(plyr)-#Make some fake dataset.seed(1)dat <- data.frame(subject = rep(c(1,4,2,6), each = 3), rate = sample(1:20, 12, TRUE))set.seed(1)#Assign treatment based on the subject ID. This does not ensure that you will get#at least one subject in each treatment group.ddply(dat, "subject", transform, treatment = sample(letters[1:2], TRUE))

     EDIT - to address your comment

     Given that you want to specify which subject gets assigned to which treatment, Gavin's suggestion of merge is spot on. I would first make a new data.frame that contains one record for each unique subject, assign their treatment, and then merge them together:

     treatments <- data.frame(subject = unique(dat$subject), treats = c("a", "b", "b", "a"))merge(dat, treatments)-

     Note that the order of unique(dat$subject) is 1,4,2,6 which corresponds to the order of the values in the original data.frame. If your real problem contains more than four subjects, you may want to consider a more automated way of assigning treatments groups. One approach I've used in the past is to assign a random number to each respondent, and then assign groups based on a given threshold of that random number. It is essentially the same as the approach above, but can ensure that you get equal numbers in each group. For example:

     dat <- ddply(dat, "subject", transform, treatment = runif(1))dat <- within(dat, treatment <- ifelse(treatment < quantile(treatment, 0.5),"a", "b"))-

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   • Difference between Returns to Factor and Returns to Scale

     Returns to Factor and Returns to Scale refer to the rise in the total product because of increasing just one factor while holding the other factors constant and change in the factor inputs simultaneously in the same proportion in the long run respectively.

     What is Returns to Factor?

     Returns to a factor refer to the rise in the total product that results from increasing just one factor while holding the other factors constant. The production of the firm displays the Law of Variable Proportions in the short term when one input is variable, and the other inputs are fixed. There are three phases of Returns to Factor; viz., Increasing Returns to a Factor, Decreasing Returns to a Factor, and Negative Returns to a Factor.

     What is Returns to Scale?

     Returns to scale refer to the change in output that results from a change in the factor inputs simultaneously in the same proportion in the long run. Simply put, when a firm changes the quantity of all inputs in the long run, it changes the scale of production for the goods. There are three stages of Returns to...

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   • Difference between Returns to Factor and Returns to Scale

     Returns to Factor and Returns to Scale refer to the rise in the total product because of increasing just one factor while holding the other factors constant and change in the factor inputs simultaneously in the same proportion in the long run respectively.

     What is Returns to Factor?Returns to a factor refer to the rise in the total product that results from increasing just one factor while holding the other factors constant. The production of the firm displays the Law of Variable Proportions in the short term when one input is variable, and the other inputs are fixed. There are three phases of Returns to Factor; viz., Increasing Returns to a Factor, Decreasing Returns to a Factor, and Negative Returns to a Factor.

     What is Returns to Scale?Returns to scale refer to the change in output that results from a change in the factor inputs simultaneously in the same proportion in the long run. Simply put, when a firm changes the quantity of all inputs in the long run, it changes the scale of production for the goods. There are three stages of Returns to Scale; viz.,...

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     4/5

   • Adding counts of a factor to a dataframe

     Top Answer

     Answered Jul 01, 2012 · 8 votes

     using jmsigner's data you could do:

     dt$count <- ave(dt$school, dt$school, FUN = length)-

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     5/5

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2. www.economicsdiscussion.net › returns-to-scaleReturns to Scale and Returns to Factor (With Diagram)

   www.economicsdiscussion.net › returns-to-scale

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   Learn the difference between returns to scale and returns to factor, two important laws of production that explain the relation between inputs and output. See the diagrams, assumptions, and explanations of the two laws with examples.

3. www.geeksforgeeks.org › difference-between-returnsDifference between Returns to Factor and Returns to Scale

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   Apr 18, 2024 · The rise in the total product that results from increasing just one factor while holding the other factors constant is known as Returns to Factor. The change in output that results from a change in the factor inputs simultaneously in the same proportion in the long run is known as Returns to Scale. Factor Proportion.

4. People also ask

   What is a return to a factor?

   • Returns to a factor refer to the rise in the total product that results from increasing just one factor while holding the other factors constant. The production of the firm displays the Law of Variable Proportions in the short term when one input is variable, and the other inputs are fixed.

   Difference between Returns to Factor and Returns to Scale

   www.geeksforgeeks.org/difference-between-returns-to-factor-and-returns-to-scale/

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   What is the difference between returns to factor and returns to scale?

   • The rise in the total product that results from increasing just one factor while holding the other factors constant is known as Returns to Factor. The change in output that results from a change in the factor inputs simultaneously in the same proportion in the long run is known as Returns to Scale.

   Difference between Returns to Factor and Returns to Scale

   www.geeksforgeeks.org/difference-between-returns-to-factor-and-returns-to-scale/

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   What are the three phases of returns to factor?

   • The production of the firm displays the Law of Variable Proportions in the short term when one input is variable, and the other inputs are fixed. There are three phases of Returns to Factor; viz., Increasing Returns to a Factor, Decreasing Returns to a Factor, and Negative Returns to a Factor. What is Returns to Scale?

   Difference between Returns to Factor and Returns to Scale

   www.geeksforgeeks.org/difference-between-returns-to-factor-and-returns-to-scale/

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   Does the ratio of fixed and variable factors change in returns to factor?

   • In returns to factor, as the variable factor keeps on changing, the ratio of fixed and variable factors also changes. In returns to scale, the factor proportion does not change. The scale of production in case of returns to factor does not change.

   Difference between Returns to Factor and Returns to Scale

   www.geeksforgeeks.org/difference-between-returns-to-factor-and-returns-to-scale/

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5. www.e-education.psu.edu › ebf200 › nodeReturns to a Factor | E B F 200: Introduction to Energy and ...

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   • Equimarginal Principle
   • Economies of Scale
   • Long-Term Versus Short-Term
   • Take Aways

   So, what is the perfect mix of capital, labor, materials and energy? Let us define something called the "marginal return to a factor," which is just a fancy way of saying "How much more money do we make from investing in another unit of some factor of production?" We want the marginal revenue (MR) from employing an extra unit of some factor to be g...

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   Sometimes we want to make our businesses bigger. When you do this, you do not add just people, or just machinery, you add all factors. But how much should we add? The question is: Do we benefit from getting bigger?: 1. If increasing inputs by x% increases output by more than x%, we have what are called “increasing returns to scale.” 2. If increasin...

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   Many people use the terms "short term" and "long term" quite loosely. In the context of economics, we have a more formal definition. I will start by returning to our example of a refinery. Let's say that the market for gasoline is growing, and you, as the owner of this refinery, would like to make more gasoline and make more money from selling it. ...

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   After working through the material on this page and reading the associated textbook content, you should be able to confidently: 1. explain what a production function is; 2. explain what a factor of production is; 3. define the usual factors of production employed in this course; 4. explain the meaning of the phrase “ceteris paribus”; 5. describe wh...

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6. www.investopedia.com › terms › fWhat Factor Investing Is and How the Strategy Works

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   Apr 12, 2024 · Factor investing is a strategy that chooses securities on attributes that are associated with higher returns. There are two main types of factors that have driven returns of stocks,...

7. www.youtube.com › watchReturns To A Factor Vs Returns To The Scale - YouTube

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   Jan 17, 2022 · WhatsApp : https://whatsapp.com/channel/0029Va9sUhNEVccQt5bmSL0sFacebook : https://www.facebook.com/dryasserkhanInstagram : dryasserkhan1Related Playlist :1....

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8. www.youtube.com › watchRETURNS TO VARIABLE FACTOR VS RETURNS TO SCALE ... - YouTube

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   Jun 16, 2023 · 2.28K subscribers. Subscribed. 3. 103 views 10 months ago #microeconomics #economics #learnoikonomia. THis video discusses RETURNS TO VARIABLE FACTOR VS RETURNS TO SCALE Returns to a...

9. en.wikipedia.org › wiki › Returns_to_scaleReturns to scale - Wikipedia

   en.wikipedia.org › wiki › Returns_to_scale

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   There are three possible types of returns to scale: If output increases by the same proportional change as all inputs change then there are constant returns to scale (CRS). For example, when inputs (labor and capital) increase by 100%, output increases by 100%.