logo
down
shadow

Matrix with counts of wins and losses between methods in R


Matrix with counts of wins and losses between methods in R

By : GURU 010101
Date : November 21 2020, 03:00 PM
it should still fix some issue You actually don't need that many data points in this matrix to keep all the same information; the Method 2 row of Method 1+ (Method 1 beats Method 2 x number of times) will always be equal to the Method 1 row of Method 2- (Method 2 loses to Method 1 x number of times). So, we can get this information like so:
code :
# First we make a function to count the wins in two columns
# (this will be useful later to feed to apply)
count_wins <- function(columns, data) {
    return(sum(data[ , columns[1]] < data[ , columns[2]]))
}
# Then we set the seed for some reproducible data
set.seed(123)
# Create some random example data
df <- data.frame(method1=sample(1:10, 5, replace=TRUE),
                      method2=sample(1:10, 5, replace=TRUE),
                      method3=sample(1:10, 5, replace=TRUE))
#   method1 method2 method3
# 1       3       1      10
# 2       8       6       5
# 3       5       9       7
# 4       9       6       6
# 5      10       5       2
# We make an empty matrix to store results
result <- matrix(NA, nrow=ncol(df), ncol=ncol(df))
# Create a matrix of all column pairings
combos <- combn(x=ncol(df), m=2)
# And use apply, upper/lower.tri, and count_wins to fill the matrix
result[upper.tri(result)] <- apply(combos, 2, count_wins, df)
result[lower.tri(result)] <- apply(combos[2:1,], 2, count_wins, df)
# Then we just name the rows and columns
rownames(result) <- colnames(result) <- paste0('method', 1:3)
#         method1 method2 method3
# method1      NA       1       2
# method2       4      NA       1
# method3       3       3      NA


Share : facebook icon twitter icon
How to tally wins and losses using SUM and CASE?

How to tally wins and losses using SUM and CASE?


By : Hardik Yadav
Date : March 29 2020, 07:55 AM
will be helpful for those in need I am using SQL Server 2008
code :
SELECT  SUM(CASE WHEN Vote = 1 THEN 1 ELSE 0 END) AS Wins,
    SUM(CASE WHEN Vote = 0 THEN 1 ELSE 0 END) AS Losses
FROM     Votes
WHERE    BikeID = 101
Combine wins and losses in same row

Combine wins and losses in same row


By : ficknergs
Date : March 29 2020, 07:55 AM
wish help you to fix your issue Do this as a single query, with conditional aggregation. I think this is the query:
code :
 select sum(case when (s.hometotalruns - s.awaytotalruns) > 0 and t2.TeamName = 'Pirates' 
                 then 1 else 0
            end) as roadlosses,
        sum(case when (s.hometotalruns - s.awaytotalruns) > 0 and t1.TeamName = 'Pirates'
                 then 1 else 0
            end) as homewins,
        'Pirates' as TeamName
 from scores s
 inner join games g
 on g.GameID=s.GameID
 inner join teams t1
 on t1.TeamID=g.HomeTeam
 inner join teams t2
 on t2.Teamid=g.AwayTeam
 where 'Pirates' in (t1.TeamName, t2.teamName);
SQL - Counting Wins and Losses

SQL - Counting Wins and Losses


By : BlackCyan
Date : March 29 2020, 07:55 AM
will help you I'm having a bit of trouble creating a mySQL query for counting wins and losses from a table that contains each individual game result. The table looks like:
code :
select
    season, team,
    count(case when outcome = 'W' then 1 else null end) as wins,
    count(case when outcome = 'L' then 1 else null end) as losses
from
    (
    select season, winning_team as team, 'W' as outcome from cbb.regular_season union all
    select season, losing_team as team, 'L' as outcome from cbb.regular_season
    ) as games
group by season, team
Sorting Wins and Losses

Sorting Wins and Losses


By : Joe
Date : March 29 2020, 07:55 AM
I wish did fix the issue. Let say your data set is found on A1:K2
And on A4 you will enter the lookup number.
code :
=COUNT(IF(A1:K1="W",IF(A2:K2=$A$4,A2:K2,"")))
=COUNT(IF(A1:K1="L",IF(A2:K2=$A$4,A2:K2,"")))
Calculate the Probability of winning (wins/ (wins + losses)) with 10,000 simulations in the game of craps.. this is part

Calculate the Probability of winning (wins/ (wins + losses)) with 10,000 simulations in the game of craps.. this is part


By : D C
Date : March 29 2020, 07:55 AM
hop of those help? Your code has already all the logic needed. To repeat it as many times you want, there are different ways. They are known as loops. If you search on Google you will find for, while, do/while and some others (you have a while already inside the code).
For your question, the basic would be to repeat it 10,000 times the same things.
code :
public class CrapsGame {

    public static void main(String[] args) {

        // Create some variables to control the times it won and times it lost
        int timesWon = 0;
        int timesLost = 0;


        // Here we're saying it's gonna repeat 10000 times, incrementing 1 by 1
        for(int i=0; i<10000; i++) {
            // Here you will insert all the existing logic from your program

            // In the existing code, increment the variables declared according

            if(roll == 2 || roll == 3 || roll == 12){
                System.out.println("You Lose !");
                timesLost++;
            }else if(roll == 7 || roll == 11){
                System.out.println("You Win !");
                timesWon++;
            }else{
                // Where you find it won, insert `timesWon++;`
                // Where you find it lost, insert `timesLost++;`
            }
        }
        // Here it exits the for loop (after 10000 times)
        // Here's where you can calculate

        System.out.println("Probability of winning: " + (timesWon/(timesWon + timesLost)));
    }
}
Related Posts Related Posts :
  • Add jitter to box plot using markers in plotly
  • Adding an extra item to the legend
  • ggplot fills in data in the wrong order
  • Convert list to data frame
  • R: filtering by list(s) of strings and returning all results that start with the content of the lists
  • R:How to attach parts of a data frame with different headers and/or an overflowing piece of the dat frame
  • How to use 'par' for manipulating plot margins?
  • Can dplyr::case_when return mix of NAs and non-NAs?
  • Text preprocessing and topic modelling using text2vec package
  • Uploading multiple files in Shiny, process the files, rbind the results and return a download
  • R levelplot: color green-white-red (white on 0) according to one variable, but show the values of another variable
  • Why [i] doesn't point to the starting point in a vector
  • In R after generating a mvrnorm distribution, Y, what does Y[,1] do?
  • expand a data frame to have as many rows as range of two columns in original row
  • Getting started with R and CFA
  • Re order x-axis in ggplot so time goes from 12AM to 11PM in R
  • R - Automatically stack every nth column of a data frame and save them as new objects
  • How to format dplyr output in R into doubles (or other workable format)?
  • Dataframe to matrix conversion using tapply turns zeros to NAs
  • Smallest multiple of 1:20 - How can I make it quicker?
  • How to specify the size of a graph in ggplot2 independent of axis labels
  • How can I find the number of a vector's elements in another vector?
  • ROC curve from train/test set in caret R package
  • Random Forest for a mixture of categorical,numeric and "unwanted" variables which include missing values
  • extract certain data from multiple excel files with R
  • Grouping string variables from a dataframe by best string match to make subsets
  • Reorder does not work after adding second geom_points
  • cover POS data formate to the one can apply Arules (Apriori)
  • Matching values between data frames based on overlapping dates
  • Grouped bar chart turns into stacked bar chart ggplot
  • R: How to fill in NA Values within a Column based on grouping?
  • Two action buttons, but only the first one, that is written in the server file, works?
  • Barchart grouped by variable both count up to 100 percent
  • Converting time in R to 24 hours
  • R - Web scrapping and downloading multiple zip files and save the files without overwriting
  • Find month and year inside string
  • Append multiple csv files into one file using R
  • Use `purrr::map` with k-means
  • R - 'data' is not an exported object from 'namespace:my_package'
  • Sum vector with number by dinamic intervals without looping
  • Issues with ave function in R: error "cannot allocate vector of size 419 kb."
  • Shiny system call with continuous updates
  • Unable to un-nest some fields using google bigquery (standard)
  • How to perform row mean in matrix by 3 number of columns in sequence using R
  • Non absolute counts histogram for imbalanced groups
  • Plot_ly color not corresponding to z
  • Numeric calculations using dplyr piping commands
  • Separate a column with uneven/unequal strings and with no delimiters
  • Using lapply and which to subset dataframe by both characteristic and fuction
  • Removing factor levels from variable X based on values in Y
  • boxplot ggplot2::qplot() ungrouped and grouped data in same plot R
  • R: the x overlap in the graph
  • What's the difference between substitute and quote in R
  • Seq() producing numbers off by minute amounts (R)
  • adjusted R2 in plm package
  • Extend bars on a ggplot2 to show the data labels not squished
  • Sorting a Vector by ascending order
  • Subsetting with dplyr and lubridate
  • Difference in SECONDS between Sys.time() and origin ("1970-01-01 00:00:00 GMT"). R
  • R: How to print variable named "Q" in debug mode?
  • shadow
    Privacy Policy - Terms - Contact Us © voile276.org