Hello everyone,
I have the following problem: I have a data.frame with multiple fields.
If I had to do my calculations for a given combination of IM.type and Taxonomy
is the following:
D <- read.csv('Test_v2.csv')
names(D)
VC <- 0.01*( subset(D, IM.type == 'PGA' & Damage.state == 'DS1' & Taxonomy ==
'ER+ETR_H1')[10:13] -
subset(D, IM.type == 'PGA' & Damage.state == 'DS2' & Taxonomy ==
'ER+ETR_H1')[10:13]) +
0.02*( subset(D, IM.type == 'PGA' & Damage.state == 'DS2' & Taxonomy ==
'ER+ETR_H1')[10:13] -
subset(D, IM.type == 'PGA' & Damage.state == 'DS3' & Taxonomy ==
'ER+ETR_H1')[10:13]) +
0.43*( subset(D, IM.type == 'PGA' & Damage.state == 'DS3' & Taxonomy ==
'ER+ETR_H1')[10:13] -
subset(D, IM.type == 'PGA' & Damage.state == 'DS4' & Taxonomy ==
'ER+ETR_H1')[10:13]) +
1.0*( subset(D, IM.type == 'PGA' & Damage.state == 'DS4' & Taxonomy ==
'ER+ETR_H1')[10:13])
So the question is how can I do that in an automated way for all possible
combinations and store the results in new data.frame which would look like
this:
Ref.No. Region IM.type Taxonomy IM_1 IM_2 IM_3 IM_4 VC_1 VC_2
VC_3 VC_4
1622 South America PGA ER+ETR_H1 1.00E-06 0.08 0.16
0.24 3.49e-294 3.449819e-05 0.002748889 0.01122911
Thanks in advance,
Best, ,
ioanna
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