EViews Help: cor

You should specify keywords indicating the statistics you wish to display from the list below, optionally followed by the keyword @partial and a list of conditioning series or groups (for the group view), or the name of a conditioning matrix (for the matrix view). In the matrix view setting, the columns of the matrix should contain the conditioning information, and the number or rows should match the original matrix.

cov	Product moment covariance.
corr	Product moment correlation.
sscp	Sums-of-squared cross-products.
stat	Test statistic (t-statistic) for evaluating whether the correlation is zero.
prob	Probability under the null for the test statistic.
cases	Number of cases.
obs	Number of observations.
wgts	Sum of the weights.

rcov	Spearman’s rank covariance.
rcorr	Spearman’s rank correlation.
rsscp	Sums-of-squared cross-products.
rstat	Test statistic (t-statistic) for evaluating whether the correlation is zero.
rprob	Probability under the null for the test statistic.
cases	Number of cases.
obs	Number of observations.
wgts	Sum of the weights.

taub	Kendall’s tau-b.
taua	Kendall’s tau-a.
taucd	Kendall’s concordances and discordances.
taustat	Kendall’s score statistic for evaluating whether the Kendall’s tau-b measure is zero.
tauprob	Probability under the null for the score statistic.
cases	Number of cases.
obs	Number of observations.
wgts	Sum of the weights.

ucov	Product moment covariance.
ucorr	Product moment correlation.
usscp	Sums-of-squared cross-products.
ustat	Test statistic (t-statistic) for evaluating whether the correlation is zero.
uprob	Probability under the null for the test statistic.
cases	Number of cases.
obs	Number of observations.
wgts	Sum of the weights.

wgt=name (optional)	Name of series containing weights.
wgtmethod=arg (default = “sstdev”	Weighting method (when weights are specified using “weight=”): frequency (“freq”), inverse of variances (“var”), inverse of standard deviation (“stdev”), scaled inverse of variances (“svar”), scaled inverse of standard deviations (“sstdev”). Only applicable for ordinary (Pearson) calculations. Weights specified by “wgt=” are frequency weights for rank correlation and Kendall’s tau calculations.
pairwise	Compute using pairwise deletion of observations with missing cases (pairwise samples).
df	Compute covariances with a degree-of-freedom correction to account for estimated means (for centered specifications), and any partial conditioning variables.
multi=arg (default=“none”)	Adjustment to p-values for multiple comparisons: none (“none”), Bonferroni (“bonferroni”), Dunn-Sidak (“dunn”).
outfmt=arg (default=“single”)	Output format: single table (“single”), multiple table (“mult”), list (“list”), spreadsheet (“sheet”). Note that “outfmt=sheet” is only applicable if you specify a single statistic keyword.
out=name	Basename for saving output. All results will be saved in Sym matrices named using keys (“COV”, “CORR”, “SSCP”, “TAUA”, “TAUB”, “CONC” (Kendall’s concurrences), “DISC” (Kendall’s discordances), “CASES”, “OBS”, “WGTS”) appended to the basename (e.g., the covariance specified by “out=my” is saved in the Sym matrix “MYCOV”).
prompt	Force the dialog to appear from within a program.
p	Print the result.