Problem in Search and Association Loop

Dear friends,

I am writing a loop to compare scientific plant names from one data frame
in a second data frame containing a smaller set of potentially different
plant names, and then to copy the associated abundances of the sp already
present in the first database, and add the new species to the bottom.

I am receiving, however, an error message saying that factor levels are
different. Can someone give me a hint on what can be happening?

Here you have the code

The base dataframe

base

       family           genus             epithet    abundance
1   Burseraceae   Coccoloba cf. cordifolia 224
2 Anacardiaceae    Tapirira     guianensis 112
3 Euphorbiaceae Pogonophora schomburgkiana 146
4 Anacardiaceae  Thyrsodium     spruceanum 115
5   Apocynaceae Himatanthus  phagedaenicus  47
6    Sapotaceae    Pouteria       coriacea  71
7 Malpighiaceae   Byrsonima        sericea  25
8  Polygonaceae   Coccoloba cf. cordifolia  29
9   Burseraceae     Protium   heptaphyllum  37

The new data data.frame

new.data

       genus            sp.new    abundance
1    Coccoloba cf. cordifolia   29
2      Protium   heptaphyllum   37
3    Bowdichia   virgilioides   15
4 Sclerolobium    densiflorum   15
5       Ocotea      glomerata   16

The Output table


output= matrix(nrow = 10, ncol = 3)
colnames(output) = c("genus", "epithet", "abundance")
output


for (i in 1:nrow(base)){
 for (j in 1:nrow(new.data)){
   if ((base[i,2] == new.data[j,1]) & (base[i,3] == new.data[j,2])){
     output[i,1] = base[i,2]
     output[i,2] = base[i,3]
     output[i,3] = new.data[j,2]
   }
 }
}

This is just the beginning of the code I plan. I stopped due to the error
message.

Thank you very much in advance,

Alexandre

-- 
Dr. Alexandre F. Souza
Professor Adjunto III
Universidade Federal do Rio Grande do Norte
CB, Departamento de Ecologia
Campus Universit?rio - Lagoa Nova
59072-970 - Natal, RN - Brasil
lattes: lattes.cnpq.br/7844758818522706
http://www.docente.ufrn.br/alexsouza

	[[alternative HTML version deleted]]