base
and numbers
. The external variable is specified as a vector (of length equal to numbers
) in the argument external
. A scalp plot of the results is returned.
scalp.cor(base, numbers, external = NULL, alpha = 0.05,
method = c("pearson", "kendall", "spearman"), sig = NULL,
erplist = NULL, smo = NULL, layout = 1, ylims = "auto", yrev = TRUE, startmsec = -200, endmsec = 1200, lwd = c(1, 1), lty = c(1, 1), col = "blue", legend = TRUE, legend.lab = "default", t.axis=seq(-100,endmsec,200), scalp.array=NULL)
numbers
"pearson", "kendall", "spearman"
.
NULL
, then a series of correlations is computed. If an appropriate object is specified (i.e. an object returned by scalp.cor
or erp.cor
) then the results are retrieved by this object and the function simply plots the results.
smooth.spline
). Default is NULL
and no smoothing is applied.
Details
).
TRUE
, the y-axis is plotted with the negative values upward.
categ
categ
TRUE
, a legend with object names is drawn in the top-right corner of the array.
categ
argument.
Details
.
erp.cor
or scalp.cor
, by specifying it as the argument sig
.
scalp.array
. The names specified will be plotted from top to bottom and from left to right. If "blank"
is specified an empty panel will be plotted. If "xaxis"
is specified a x axis indicating time will be plotted. If "yaxis"
is specified a y axis indicating voltage will be plotted.
erp.cor
, ~~~
## Not run:
# data(ERPsets)
#
# #generate an hypothetic external variables
# RT=rnorm(20, mean=500, sd=200)
#
# scalp.cor("Exp1_word_subj", 1:20, external = RT, layout=1,
# erplist=ERPsets, ylim=10, legend=TRUE)
# ## End(Not run)
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