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Hello, I have a dataframe with columns like: parameter1 parameter2 metricname value and I'd like to transform it into a dataframe with columns: parameter1 parameter2 metric1 metric2 metric3 where the values for each metric would be in the appropriate column. There are often multiple values for a given (parameter1, parameter2, metricname) triple. In this case, I want to use the

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Re msg: Sat Jul 5 21:13:52 MEST 2003 [R] Second Y axis You replied to an R question a year and a half ago. I had exactly the same question, and you've made my evening much nicer. I appreciate it. Best, Barry Rountree -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.2.4 (GNU/Linux) iD8DBQFCBtVNhlM7FvEcdO8RAk8hAJ9U1XXqxEdtzkQpT63JUf9XHGaAWACfSFup gaMyVbAjrRNriD7W9yom0UI= =6tcw -----END PGP SIGNATURE-----

...m(x)-A # number of cases where x is 1 and y is 0 Let C <- sum(y)-A # number of cases where y is 1 and x is 0 Let D <- sum(!x * !y) # number of cases where x and y are both 0. (also D = length(x)-A-B-C) All the information is summarised in the 2-by-2 contingency table. Some years ago, Nathan Rountree and I supervised Yung-Sing Koh's data-mining PhD. She surveyed the data mining literature and found some 37 different "interestingness measures" for two-variable associations -- if I remember correctly; there were a lot of them. They fell into a much smaller number of qualitatively...

...# number of cases where x is 1 and y is 0 Let C <- sum(y)-A # number of cases where y is 1 and x is 0 Let D <- sum(!x * !y) # number of cases where x and y are both 0. (also D = length(x)-A-B-C) All the information is summarised in the 2-by-2 contingency table. Some years ago, Nathan Rountree and I supervised Yung-Sing Koh's data-mining PhD. She surveyed the data mining literature and found some 37 different "interestingness measures" for two-variable associations -- if I remember correctly; there were a lot of them. They fell into a much smaller number of qualitati...

...Let C <- sum(y)-A # number of cases where y is 1 and x is 0 > > Let D <- sum(!x * !y) # number of cases where x and y are both 0. > > (also D = length(x)-A-B-C) > > > > All the information is summarised in the 2-by-2 contingency table. > > Some years ago, Nathan Rountree and I supervised Yung-Sing Koh's > > data-mining PhD. > > She surveyed the data mining literature and found some 37 different > > "interestingness measures" for two-variable associations -- if I > > remember correctly; there were a lot of them. They fell into...

...;- sum(y)-A # number of cases where y is 1 and x is 0 > > Let D <- sum(!x * !y) # number of cases where x and y are both 0. > > (also D = length(x)-A-B-C) > > > > All the information is summarised in the 2-by-2 contingency table. > > Some years ago, Nathan Rountree and I supervised Yung-Sing Koh's > > data-mining PhD. > > She surveyed the data mining literature and found some 37 different > > "interestingness measures" for two-variable associations -- if I > > remember correctly; there were a lot of them. They f...

Let's go back to the original posting. > > > >> in each column, less than 10% values are 1, most of them are 0; > > > > > > > >> so I want to remove a row with value of zero in both columns when calculate correlation between two columns. > > So we're talking about correlations between binary variables. Suppose we have two 0-1-valued

...rsity Todd Gamblin, Lawrence Livermore National Laboratory Lizy John, University of Texas at Austin Karen L. Karavanic, Portland State University Darren Kerbyson, Pacific Northwest National Lab James Laros, Sandia National Labs David Lowenthal, University of Arizona Naoya Maruyama, RIKEN AICS Barry Rountree, Lawrence Livermore National Laboratory Valerie Taylor, Texas A&M University Hans Vandierendonck, Queen's University Belfast Ana Varbanescu, University of Amsterdam Xin Yuan, Flroida State University PROGRAMMING MODELS, SYSTEMS, AND FAULT-TOLERANT COMPUTING Vassil Alexandrov, BSC Christos...

...rsity Todd Gamblin, Lawrence Livermore National Laboratory Lizy John, University of Texas at Austin Karen L. Karavanic, Portland State University Darren Kerbyson, Pacific Northwest National Lab James Laros, Sandia National Labs David Lowenthal, University of Arizona Naoya Maruyama, RIKEN AICS Barry Rountree, Lawrence Livermore National Laboratory Valerie Taylor, Texas A&M University Hans Vandierendonck, Queen's University Belfast Ana Varbanescu, University of Amsterdam Xin Yuan, Flroida State University PROGRAMMING MODELS, SYSTEMS, AND FAULT-TOLERANT COMPUTING Vassil Alexandrov, BSC Christos...