search for: percentages

...or better say, to give a good quality of the signal. The more devices I place, the higher the signal. The signal is measured in a (coverage) percentage, the higher the percentage, the better the service. The max percentage is (obviously) 100%. As an example: Example 1: ---------- devices<-1:49 percentages<-c(15.8,29.3,43.1,52.9,61.8,70.4,77.6,84.4,88.6,90.9,92.7,93.2,9 4.1,94.6,95.4,96.1,96.5,97,97.3,97.8,98.1,98.7,99,99.4,99.5,99.6,99.7,99.9,1 00,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,1 00,100) matplot(devices,percentages,type="l") cbind(devices,percent...

...cres=Bin1_main[[1]]*43560 #Separates TAZ data from main data Bin1_TAZ=Bin1_main[[2]] #Separates TAZ data from main data and converts acres to square feet Bin1_TAZvacant=Bin1_main[[3]]*43560 #Sums each parcel acreage data of the bin Bin1Acres_sum=sum(Bin1_Acres) #Creates data frame of cumlative percentages of each parcel of bin Bin1_cumper=cumsum(Bin1_Acres/Bin1Acres_sum) #Calculates the probability of choosing particular parcel from bin Bin1_parprob=abs(1-Bin1_cumper) #Combines parcel acreage data and cumlative percentage data Bin1Main.data = cbind(Bin1_Acres,Bin1_parprob,Bin1_TAZ,Bin1_TAZvacant)...

...re grouping variables. The "type" option can be used to specify percentage type ("n", "row", "column", or "total"), "digits" to specify the number of decimal points, "percentage=FALSE" can be used to print proportions rather than percentages. "row.vars" and "col.vars" are passed on to ftables for formatting multiway tables. I'd like to see something like ctab in R-base at some point in the future. Perhaps it could be integrated in ftable? Perhaps I'll try that myself as a next project. I'm still learnin...

Full_Name: John Hendrickx Version: 1.6.2 OS: Windows XP Submission from: (NULL) (80.126.78.108) (This is not a bug report but a request to add a feature to future versions of R. Hope this is an appropriate place). I'd like to suggest adding an option to ftable to allow percentages. It would be easy to do and backwards compatible. Percentage tables are useful in educational contexts, whereas lack of a simple method for calculating percentages gives an incorrect impression of the maturity of R IMHO. To add percentage tables to ftable, an option such as pcnt=c("n",...

Hi folks, I know that density function will give a estimated density for a give dataset. Now from that I want to have a percentage estimation for a certain range. For examle: > y = density(c(-20,rep(0,98),20)) > plot(y, xlim=c(-4,4)) Now if I want to know the percentage of data lying in (-20,2). Basically it should be the area of the curve from -20 to 2. Anybody knows a simple

...of a multhist with the y-axis labeled not as counts but as percentage of a population. Plotting the standard histogram is in a way fine, all I need is to: -- have a left-handside y-axis labels for pop 1 and a right-handside y-axis labels for pop2 -- replace the counts in each axis with population percentages (easy to calculate, but how to stick them there?) Any suggestion would be gratefully received. F -- Federico C. F. Calboli Department of Epidemiology and Biostatistics Imperial College, St. Mary's Campus Norfolk Place, London W2 1PG Tel +44 (0)20 75941602 Fax +44 (0)20 75943193 f.calbol...

...table like this, I have A B C D ... levels, the first column you see is just the index, and there are different numbers in the table. A B C D ... 1 0 2 1 0 2 1 0 2 1 3 2 3 0 0 4 0 0 1 0 5 0 2 3 1 ... I want to calculate the frequencies or the percentages of the numbers in every column. How do I get a table like this, the first column is the levels of numbers, and the numbers inside the table are the percentages. All the percentages should add up to 1 in every column. A B C D ... 0 0.2 0.3 0.1 0.1 1 0.1 0.1 0.2...

Hi, I followed two posts as my guideline http://lists.llvm.org/pipermail/llvm-dev/2017-September/117339.html and http://lists.llvm.org/pipermail/llvm-dev/2017-September/117156.html I am using clang 4.0.1 and compiler-rt 4.0 release 1. I made changes in the LCF to mimic Linux Platform (for linker magic) In data section i have added: __start___llvm_prf_cnts = .;

...hat generates a data frame like the one I have. pop <- matrix(1:100000) groupIDs <- sample(pop,500) groupVar <- sample(groupIDs,23000,replace=TRUE) responseVar <- sample(1:5,23000,replace=TRUE) example.data <- data.frame(groupVar,responseVar) Is there a fast way to calculate these percentages beyond writing loops to manually count the responses for each of the groups? Thanks, EG [[alternative HTML version deleted]]

Hello everyone, I have two questions: 1.) I would like to generate random percentages that add up to 100. For example, if I need 5 percentages, I would obtain something like: 20, 30, 40, 5, 5. Is there some way to do this in R? 2.) I would like to insert vectors of specified length into a larger vector of specified length randomly, and fill the gaps with zeroes. For example, if I h...

Does anyone know how I can generate a 2x2 table in a format where in each cell of the table, it contains a) count (frequency) b) total percentage c) row percentage d) column percentage. SAS can generate this format easily, is there a R package that can do this? Frequency | Percent | Row Pct | Col Pct | positive negative | Total --------------------------------|------- disease |

I'm struggling to find any help on this seemingly simple question - how does one read data with percentage (%) or currency (?,$ etc.) signs? When I try to read a data file which has any of those symbols in the data fields, they are read as characters rather than values. Is there a function or library which can deal with such values? As an example, I use this sample from one of chinna's

Hello I've got some data and I want to fit a binomial glm. The problem is that I don't have the number of successes or failures, I have only the percentages. If I want to make all these numbers integers, I have to multiply them for 1000, because there are some low percentages (0.05%). Besides, I don't know if this is correct. Any help? Thanks in advance, and sorry for my english Julio G?mez -------------- next part -------------- An HTML attachme...

I have the following data and am trying to find the percentage of bid values purchased for that price. So let's say I have a bid of 5 and it's sold 2 times for $3 and $5. Since the original bid was $5, the percentage of times that that bid value results in a sold purchase AT that specific bid level was 1/3 because of the three time where the bid was three, it ended up being sold for $5

Dear R-users, Though it's a silly thing to ask, but I'm not getting a way out. I wish to find the percentage distribution for a data vector 'stop'. The coomand below is giving the frequency distribution. May I know the option to see the percentages instead of frequencies. Similarly, what option I should put in a histogram plot to see the percentages instead of frequencies? --------------------------------------------------------------------- stop<-c(8,6,6,6,8,6,6,8,8,6,6,6,8,8,8) barplot(table(stop)) ------------------------------------...

Hello, I''m trying to implement something like the following scenario. I''ve got "Alloys" (blends of metals), "Metals" and "Percentages" I want to implement this using a join model, not using a has_and_belongs_to_many relationship. (If i''m wrong about that, let me know). Basically, i have the following tables: Metals id name Alloys id name Percentages alloy_id metal_id percent And the follow...

Hi, I have 6 columns in my dataframe (test) A B C D E F a b c d 40 30 a f a b 20 10 x m y m 50 30 If character value in column A matches with that in column C, it gets the percentage in column E, similarly if value in column B matches the value in D, it gets the percentage in F column. If it doesn't match, it gets 0 percentage. How can I do that ? thanks [[alternative HTML version

Dear John Fox, Christian Kleiber, and Achim Zeileis, I am attempting to run various independent variable parameters to assess their suitability. Unfortunately, I hit a snag and couldn't get the tests to run properly. When I used ivreg, I got an error message saying: "Error in eval(predvars, data, env) : object 'WageInequality' not found." Can you please help? Model:

...,0,0.85,1.09,0,0.5,1.4,0.08,0.11,0.05,0.17,0.31,0,0.12,0,0.99,1.11,1.78,0,0,0,2.33,0.07,0.66,1.03,0.15,0.15,0.59,0,0.03,0.16,2.86,0.2,1.66,0.12,0.09,0.01,0,0.82,0.31,0.2,0.48,0.15) First I tried transforming the data (e.g., logit) but because of the zeros I was not satisfied. Next I converted the percentages into integer values by round(Bacteria*10) or ceiling(Bacteria*10) and calculated a glm with a Poisson error structure; however, I am not very happy with this approach because it changes the original percentage data substantially (e.g., 0.03 becomes either 0 or 1). The same is true for converti...

...ear the middle of the line represent about 50%, looking at how close the point is to the left lets you estimate the percentage and most people (you may differ) do a better job of estimating that percentage from the position of the dot than from an angle or area. If you feel the need to specify the percentages along the side of a dot chart, then at least they are lined up vertically for easy comparison (my example would have been better if a lot of the vertical space had been removed so the pieces of interest were closer together), the pie chart would generally have the percentages non-aligned causing mo...