Open WilDoane opened 12 years ago
Per Brian
All of the examples with t-test data that I test for the 1w function are—I believe—cases where there are equal numbers of samples in each group. From the man page for "unstack":
unstack produces a list of columns according to the formula form. If all the columns have the same length, the resulting list is coerced to a data frame.
My code for executing the t-test uses selection operators that assume the input data is a dataframe.
I debugged this by:
Yeah, the problem is in these lines of the .1w function:
t.test(unstacked.data[, 1],
unstacked.data[, 2],
var.equal = TRUE
)
If unstacked.data
is a list (which is what unstack()
returns when group sizes are unequal), the selection operators will fail.
So, some check like
if (typeof(unstacked.data) == "list") { ... }
would be needed, then?
I'm still having this issue - anyone know of a workaround? The granovaGG package documentation says that it works with unequal group sizes, but I'm getting the exact same error; I have one group of 64 and another of 500
Where the data is:
Measure,Location,Region 0.008758994,1,1 0.04146985,1,1 0.09634434,1,1 0.05599809,1,1 0.037924,1,1 0.03140276,1,1 0.03273692,1,1 0.06603438,1,1 0.02213142,1,1 0.1269441,1,1 0.06632624,1,1 0.1459606,1,1 0.01983643,2,1 0.001162292,2,1 0.02383746,2,1 0.04751318,2,1 0.09128601,2,1 0.01343654,2,1 0.03953939,2,1 0.03656027,2,1 0.04845837,2,1 0.08883967,2,1 0.03523059,2,1 0.03066298,2,1 0.06648093,2,1 0.0183183,2,1 0.01520962,2,1 0.03833972,2,1 0.06648921,2,1 0.05706215,3,1 0.0805001,3,1 0.05470866,3,1 0.02154668,3,1 0.02068727,3,1 0.008289484,3,1 0.01736224,3,1 0.04599525,3,1 0.08238185,3,1 0.00363438,3,1 0.002015544,3,1 0.02456306,3,1 0.03481855,3,1 0.004820532,3,1 0.03355581,3,1 0.004518231,3,1 0.03186453,3,1 0.1035173,3,1 0.003618154,4,2 0.01150031,4,2 0.01474353,4,2 0.0235951,4,2 0.0007341859,4,2 0.02354026,4,2 0.01441165,4,2 0.01989785,4,2 0.02549262,4,2 0.006510455,4,2 0.008447188,4,2 0.02630929,5,2 0.01982208,5,2 0.09092932,5,2 0.05234133,5,2 0.0587467,5,2 0.01677552,5,2 0.03881078,5,2 0.01848181,5,2 0.01661278,5,2 0.002073064,5,2 0.019118,5,2 0.002729673,5,2 0.004473235,5,2 0.004090857,5,2 0.003130976,6,2 0.1200847,6,2 0.02694234,6,2 0.02227644,6,2 0.01123704,6,2 0.1369699,6,2 0.03986247,6,2 0.006040578,6,2 0.006735805,6,2 0.00233625,6,2