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How to apply a function to every element of a dataframe, when the function uses for each colummn and row different values to calculate with?

Tue, Aug 20, 2013 11:47 PM

On Aug 21, 2013, at 00:01 , David Winsemius wrote:

A bit of a misquote there; chisq.test has

            STATISTIC <- sum((abs(x - E) - YATES)^2/E)

The abs() ensures that the Yates correction is towards zero.

(a few lines above, we have

                YATES <- min(0.5, abs(x - E))

which avoids the embarrassment of a positive chi-square when x==E).

If YATES==0, he squaring of course makes abs() superfluous.

Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Email: pd.mes at cbs.dk  Priv: PDalgd at gmail.com

Thread (7 messages)

Jacqueline Oehri How to apply a function to every element of a dataframe, when the function uses for each colummn and row different values to calculate with? Aug 20 Wuming Gong How to apply a function to every element of a dataframe, when the function uses for each colummn and row different values to calculate with? Aug 20 David Winsemius How to apply a function to every element of a dataframe, when the function uses for each colummn and row different values to calculate with? Aug 20 Peter Dalgaard How to apply a function to every element of a dataframe, when the function uses for each colummn and row different values to calculate with? Aug 20 Jacqueline Oehri How to apply a function to every element of a dataframe, when the function uses for each colummn and row different values to calculate with? Aug 23 David Winsemius How to apply a function to every element of a dataframe, when the function uses for each colummn and row different values to calculate with? Aug 23 Jacqueline Oehri How to apply a function to every element of a dataframe, when the function uses for each colummn and row different values to calculate with? Aug 24