Oi João, Você deveria usar 'Indice' ao invés de 'value' em aes(x = value*10, y = modelos)). Além disso, te sugiro trocar 'Indice c' por 'Indice_c' ou algo assim para que o argumento funcione corretamente. Em scale_x_continuous você pode usar: scale_x_continuous(breaks = c(0, 0.5, 1), labels = c(0, 0.6, 0.9), limits = c(0,1)) + para definir o limite dos seus plots. Não entendi porque se multiplicou o value (Indice) por 10, com esta escala não precisaria. # Ficaria assim: p <- ggplot(my_data_long, aes(x = Indice_c, y = modelos)) + geom_point() + facet_wrap(~ county, ncol = 4)+ scale_x_continuous(breaks = c(0, 0.5, 1), labels = c(0, 0.6, 0.9), limits = c(0,1)) + labs(x = "Indice de concordancia", y = NULL)+ ggtitle("Indice de concordancia c") + theme_bw()+ theme(panel.grid.major.y = element_line(colour = "grey60"), panel.grid.major.x = element_blank(), panel.grid.minor = element_blank(), panel.margin = unit(0, "lines"), plot.title = element_text(size = rel(1.1), face = "bold", vjust = 2), strip.background = element_rect(fill = "grey80"), axis.ticks.y = element_blank()) p ggsave(paste(this_base, ".png"), p, width = 6, height = 8) Abraço, Heloise. 2016-02-16 0:51 GMT-02:00 joão Rodrigo Castro <joaorodrigo2005@gmail.com>:

Pessoal,

Um erro que acredito ser no scale_x_continuous está gerando um erro no gráfico. Ao reproduzirem o script, vejam que os valores no gráfico não correspondem aos valores referentes aos fatores county e value.

Script:

############ library(ggplot2) library(reshape2) library(grid)

this_base = "Indice de concordancia"

my_data = data.frame( modelos = c("BC", "CD", "DB", "HG1", "HG2"), Alegrete = c(0.75,0.77,0.76,0.72,0.78), Bage = c(0.80,0.82,0.79,0.76,0.81), Camaqua = c(0.72,0.76,0.73,0.78,0.77), Cangucu = c(0.68,0.70,0.68,0.76,0.73), Dom_Pedrito = c(0.812,0.829,0.812,0.845,0.831), Enc._do_Sul = c(0.457,0.751,0.741,0.785,0.749), Jaguarao = c(0.742,0.775,0.722,0.815,0.821), Mostardas = c(0.510,0.423,0.135,0.590,0.506), Pelotas = c(0.739,0.760,0.745,0.773,0.741), Porto_Alegre = c(0.778,0.801,0.773,0.808,0.800), Quarai = c(0.8008,0.8205,0.8052,0.8210,0.8095), Rio_Grande = c(0.591,0.598,0.382,0.725,0.734), Rio_Pardo = c(0.803,0.818,0.780,0.830,0.805), Santiago= c(0.779,0.778,0.763,0.800,0.760), Sao_Borja= c(0.755,0.777,0.756,0.804,0.782), Sao_Gabriel= c(0.812,0.829,0.811,0.849,0.831), Sao_Luiz_Gonzaga= c(0.770,0.778,0.766,0.805,0.756), Sant._Livramento= c(0.803,0.805,0.801,0.817,0.777), Santa_V_Palmar= c(0.619,0.588,0.385,0.710,0.702), Santa_Maria= c(0.721,0.753,0.685,0.775,0.764), Torres= c(0.544,0.595,0.306,0.603,0.621), Tramandai= c(0.461,0.483,0.111,0.561,0.544), Uruguaiana= c(0.801,0.811,0.782,0.818,0.795))

my_data_long = melt(my_data, id = "modelos", variable.name = "county", value.name = "Indice c")

my_data_long$county = factor( c("Alegrete", "Bage", "Camaqua", "Cangucu", "Dom Pedrito", "Enc. do Sul", "Jaguarao", "Mostardas", "Pelotas", "Porto Alegre", "Quarai", "Rio Grande","Rio Pardo", "Santiago","Sao Borja","Sao Gabriel", "S.L. Gonzaga","S. Livramento", "St.V. Palmar","Santa Maria","Torres", "Tramandai","Uruguaiana"))

my_data_long$modelos = factor(my_data_long$modelos, rev(c("BC", "CD", "DB", "HG1", "HG2")))

p <- ggplot(my_data_long, aes(x = value*10, y = modelos)) + geom_point() + facet_wrap(~ county, ncol = 4) #scale_x_continuous(breaks = c(0,0.5,1),labels = c( 0,0.6,0.9)) + labs(x = "Indice de concordancia", y = NULL) ggtitle("Indice de concordancia c") + theme_bw() theme(panel.grid.major.y = element_line(colour = "grey60"), panel.grid.major.x = element_blank(), panel.grid.minor = element_blank(), panel.margin = unit(0, "lines"), plot.title = element_text(size = rel(1.1), face = "bold", vjust = 2), strip.background = element_rect(fill = "grey80"), axis.ticks.y = element_blank())

p

ggsave(paste(this_base, ".png"), p, width = 6, height = 8)

################

Acredito que seja no argumento break, sinceramente não consegui desenvolver.. sds

-- João Rodrigo de Castro Programa de Pós-Graduação em Meteorologia Bolsista Laboratório de Agrometeorologia - Embrapa Clima Temperado Universidade Federal de Pelotas

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