Ok, before I definetly give up, and throw the laptop out of the window, or
fill my data.frame manually, I'll ask for some help.
I have a data.frame named MyTable with 3 columns, that looks like this:
V1 V2 V3
red-j appearanceblood-n 105.032
red-j appearanceground-n 93.749
red-j appearancesea-n 102.167
red-j appearancesky-n 10.898
orange-j appearanceobject-n 109.354
orange-j as_adj_aspainting-n 93.248
orange-j colorbanknote-n 159.167
orange-j colorcar-n 117.985
yellow-j appearanceskin-n 109.527
yellow-j areacircle-n 87.064
yellow-j areainfarction-n 120.759
yellow-j as_adj_ascorn-n 219.739
yellow-j as_adj_asflax-n 122.576
yellow-j as_adj_asgold-n 90.814
green-j appearancewater-n 91.477
green-j architecturebuilding-n 103.582
green-j architecturecourse-n 103.325
green-j areaRio-n 106.614
green-j areaauditorium-n 102.505
green-j areacity-n 150.005
blue-j appearancecypress-n 145.133
blue-j appearancefirmament-n 148.655
blue-j appearanceman-n 85.731
blue-j appearancerange-n 90.706
blue-j appearancesurface-n 100.991
blue-j areagraph-n 92.708
blue-j arealibrary-n 77.135
purple-j appearanceleave-n 119.423
purple-j appearancelesion-n 134.287
purple-j colorViking-n 145.516
purple-j coloramethyst-n 175.619
purple-j colorbanknote-n 158.045
purple-j colorbottle-n 132.395
purple-j colorchocolate-n 141.833
The elements on the first column can be: red-j, orange-j, yellow-j, green-j,
blue-j or purple-j. Elements on column 2 are contexts in which the color
appears. And in column 3 there is a kind of frequency measurement between
color and context.
I am trying to build a new data.frame where the 6 colors in column 1 are
placed as column names, all the unique contexts in column 2 are placed as
row names and the values on column 3 are in the correspondent cells (or 0 if
an intersection color-context is empty).
Easy to prepare the empty data.frame, but I cant find out how to fill it up
with the frequencies.
Ideas? Anybody has a ready script for this?
Thank you!!!
Marianna
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