Dados ao nível de inseto
#-----------------------------------------------------------------------
# Importação.
tb <- gdata::read.xls("DADOS 3 Experimento.xlsx", sheet = 1, skip = 1,
dec = ",") %>%
as_tibble()
# tb <- read_excel("DADOS 1 Experimento.xlsx", sheet = 2, skip = 1)
str(tb)
## tibble [180 × 7] (S3: tbl_df/tbl/data.frame)
## $ ensaio : int [1:180] 1 1 1 1 1 1 1 1 1 1 ...
## $ fonte : int [1:180] 1 1 1 1 1 1 1 1 1 1 ...
## $ tratamento: chr [1:180] "NAC" "NAC" "NAC" "NAC" ...
## $ inseto : int [1:180] 1 2 3 4 5 6 7 8 9 10 ...
## $ qpcr : num [1:180] 23.7 24.4 27.8 27.4 29.4 ...
## $ teste : int [1:180] 1 1 1 2 2 2 3 3 3 4 ...
## $ morte : int [1:180] 0 0 1 0 0 0 0 0 0 0 ...
tb <- tb %>%
mutate_at(c("ensaio", "tratamento", "fonte", "teste"), "factor")
ggplot(data = tb,
mapping = aes(x = teste, y = morte, color = tratamento)) +
facet_wrap(facets = ~fonte, scale = "free_x") +
geom_jitter(height = 0.1, width = 0)
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)
ggplot(data = tb, #filter(tb, qpcr > 10000),
mapping = aes(x = teste, y = qpcr, color = tratamento)) +
facet_wrap(facets = ~fonte, scale = "free_x") +
geom_point()
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#-----------------------------------------------------------------------
# Ajuste do modelos aos dados de qPCR.
# Dicotomizar.
tb$qpcr <- ifelse(tb$qpcr <= 30, 1, 0)
# Ajuste do modelo de efeitos aleatórios.
m0 <- glmer(qpcr ~ (1 | fonte/teste) + tratamento,
data = tb,
family = binomial)
# Estimativas dos componentes de variância.
summary(m0)
## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: qpcr ~ (1 | fonte/teste) + tratamento
## Data: tb
##
## AIC BIC logLik deviance df.resid
## 202.5 215.2 -97.2 194.5 176
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.2520 -0.5235 -0.3708 0.4640 2.2812
##
## Random effects:
## Groups Name Variance Std.Dev.
## teste:fonte (Intercept) 2.1430 1.4639
## fonte (Intercept) 0.8158 0.9032
## Number of obs: 180, groups: teste:fonte, 61; fonte, 3
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -1.9549 0.7110 -2.750 0.00597 **
## tratamentoNAC 1.5493 0.6084 2.547 0.01087 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## tratamntNAC -0.515
# Médias com intervalo de confiança.
emm <- emmeans(m0, specs = ~tratamento, type = "response") %>%
multcomp::cld()
emm
## tratamento prob SE df asymp.LCL asymp.UCL .group
## CONTROLE 0.124 0.0772 Inf 0.0339 0.363 1
## NAC 0.400 0.1574 Inf 0.1556 0.707 2
##
## Confidence level used: 0.95
## Intervals are back-transformed from the logit scale
## Tests are performed on the log odds ratio scale
## significance level used: alpha = 0.05
emm <- emm %>%
as.data.frame() %>%
mutate(cld = as_letters(.group))
ggplot(data = emm,
mapping = aes(x = prob, y = tratamento)) +
geom_point() +
geom_label(mapping = aes(label = sprintf("%0.2f %s", prob, cld)),
vjust = -0.3) +
geom_errorbarh(mapping = aes(xmin = asymp.LCL, xmax = asymp.UCL),
height = 0.1) +
labs(x = "Resultado do qPCR",
y = "Tratamento")
![](data:image/png;base64,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)
#-----------------------------------------------------------------------
# Ajuste do modelos aos dados de mortalidade.
# Ajuste do modelo de efeitos aleatórios.
m0 <- glmer(morte ~ (1 | fonte/teste) + tratamento,
family = binomial,
data = tb)
## boundary (singular) fit: see ?isSingular
# Estimativas dos componentes de variância.
summary(m0)
## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: morte ~ (1 | fonte/teste) + tratamento
## Data: tb
##
## AIC BIC logLik deviance df.resid
## 133.8 146.6 -62.9 125.8 176
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.0164 -0.2328 -0.1099 -0.1099 2.3549
##
## Random effects:
## Groups Name Variance Std.Dev.
## teste:fonte (Intercept) 4.681 2.164
## fonte (Intercept) 0.000 0.000
## Number of obs: 180, groups: teste:fonte, 61; fonte, 3
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -2.1936 0.8011 -2.738 0.00618 **
## tratamentoNAC -2.0551 0.8876 -2.315 0.02060 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## tratamntNAC -0.231
## convergence code: 0
## boundary (singular) fit: see ?isSingular
# Médias com intervalo de confiança.
emm <- emmeans(m0, specs = ~tratamento, type = "response") %>%
multcomp::cld()
emm
## tratamento prob SE df asymp.LCL asymp.UCL .group
## NAC 0.0141 0.0146 Inf 0.00182 0.101 1
## CONTROLE 0.1003 0.0723 Inf 0.02267 0.349 2
##
## Confidence level used: 0.95
## Intervals are back-transformed from the logit scale
## Tests are performed on the log odds ratio scale
## significance level used: alpha = 0.05
emm <- emm %>%
as.data.frame() %>%
mutate(cld = as_letters(.group))
ggplot(data = emm,
mapping = aes(x = prob, y = tratamento)) +
geom_point() +
geom_label(mapping = aes(label = sprintf("%0.2f %s", prob, cld)),
vjust = -0.3) +
geom_errorbarh(mapping = aes(xmin = asymp.LCL, xmax = asymp.UCL),
height = 0.1) +
labs(x = "Mortalidade",
y = "Tratamento")
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABaAAAANgCAMAAADtRj90AAAC/VBMVEUAAAABAQECAgIDAwMEBAQFBQUGBgYHBwcICAgJCQkKCgoLCwsMDAwNDQ0ODg4PDw8QEBARERESEhITExMUFBQVFRUWFhYXFxcYGBgZGRkaGhobGxscHBwdHR0eHh4fHx8gICAhISEiIiIjIyMkJCQlJSUmJiYnJycoKCgpKSkqKiorKyssLCwtLS0uLi4vLy8wMDAxMTEyMjIzMzM0NDQ1NTU2NjY3Nzc4ODg5OTk6Ojo7Ozs8PDw9PT0+Pj4/Pz9AQEBBQUFCQkJDQ0NERERFRUVGRkZHR0dISEhJSUlKSkpLS0tMTExNTU1OTk5PT09QUFBRUVFSUlJTU1NUVFRVVVVWVlZXV1dYWFhZWVlaWlpbW1tcXFxdXV1eXl5fX19gYGBhYWFiYmJjY2NkZGRlZWVmZmZnZ2doaGhpaWlqampra2tsbGxtbW1ubm5vb29wcHBxcXFycnJzc3N0dHR1dXV2dnZ3d3d4eHh5eXl6enp7e3t8fHx9fX1+fn5/f3+AgICBgYGCgoKDg4OEhISFhYWGhoaHh4eIiIiJiYmKioqLi4uMjIyNjY2Pj4+QkJCRkZGSkpKTk5OUlJSVlZWWlpaXl5eYmJiZmZmampqbm5ucnJydnZ2enp6fn5+goKChoaGioqKjo6OkpKSlpaWmpqanp6eoqKipqamqqqqrq6usrKytra2urq6vr6+wsLCxsbGysrKzs7O0tLS1tbW2tra3t7e4uLi5ubm6urq7u7u8vLy9vb2+vr6/v7/AwMDBwcHCwsLDw8PExMTFxcXGxsbHx8fIyMjJycnKysrLy8vMzMzNzc3Ozs7Pz8/Q0NDR0dHS0tLT09PU1NTV1dXW1tbX19fY2NjZ2dna2trb29vc3Nzd3d3e3t7f39/g4ODh4eHi4uLj4+Pk5OTl5eXm5ubn5+fo6Ojp6enq6urr6+vs7Ozt7e3u7u7v7+/w8PDx8fHy8vLz8/P09PT19fX29vb39/f4+Pj5+fn6+vr7+/v8/Pz9/f3+/v7///+Q5k3IAAAACXBIWXMAAB2HAAAdhwGP5fFlAAAgAElEQVR4nO3dd7xcdZ3/8W8CCS0BliJgVkEWZXXbT2B1RTSLsErxXAL5YSBAMEJoCeQXQwllYWkrRXEV+P3ApbhEcA0QEClC2ECoIUjoSDO0EEoqkoQkN/c8flNumXZm5t68z3w+d+b1/GNOmXOG73zvzcvr1BADAFwK1gMAAFRGoAHAKQINAE4RaABwikADgFMEGgCcItAA4BSBBgCnCDQAOEWgAcApAg0AThFoAHCKQAOAUwQaAJzqF4Fe+GEvLYzjNb09p/GWxEuth1Db6jheZD2G2tYutx5BbR/H8UfWY6htZb/4hxN/Yj2G2j7q2z+ckvYRaDsEWoZAqxBoFQKdjEDLEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ3pU6Df/++Jo9rkDpkyoy+zXhGBliHQKgRahUAnywT60Z3DVrvsKvfloeGfn+nLvFdAoGUItAqBViHQyRbGD2z0vx7oSGMsq3+13bC5fZn4cgRahkCrEGgVAp1s4bJt9lie1mjeHPa1vkx8OQItQ6BVCLQKgU628OLBf0pvONPDb/sy82UItAyBViHQKgQ62cLh+6U4nLWfGt+XmS9DoGUItAqBViHQyRZ++rQ0x7Pnd/sy82UItAyBViHQKgQ62cKtz0lzPPv+S19mvgyBliHQKgRahUAnI9AyBFqFQKsQaGcItB0CrUKgVQi0MwTaDoFWIdAqBNoZs0AvCOHSCrsJtDcEWoVAqxDoZCWBnj1iyw3++uyPS2+2bPeKq/9mZtERBJpAyxBoFQLtzDoG+vqBIetvS+576e75Z2wZwsyiQwg0gZYh0CoE2pl1C/TLg8JO//3IDweEUUU3WrJ77uhB2VzPLDqGQBNoGQKtQqCdWbdAjwsbzcssTgrhjcIbLdl9QAg7jyXQZQi0CoFWIdDOrFugtw2HZRfzQvh54Y2W7B7xrTs67ibQZQi0CoFWIdDOrFOg3wvhytzKsDCu4DZLd2cnpmKg5+632Sa7/aLoo0sJtDcEWoVAqxDoZIWBfjiEu3Mre4Q9C26z0u5KgT50o9xTiUcX7ibQ3hBoFQKtQqCTFQb6zhAeza3sH3YpuM1KuysFOnzmp7+7bFgIdxXsJtDeEGgVAq1CoJMVBnpaCHNyKyPDzgW3WWl3pUBv+25m+drgMKJgN4H2hkCrEGgVAp2sMNA39ZT4rwpus9LuSoE+L7dyQNiiYDeB9oZAqxBoFQKdTBjo/Ks4zg/hg57dBNobAq1CoFUIdLKEQO9UcJuVdicH+hch/LFnN4H2hkCrEGgVAp2s5DHoJ3IrI8MXC26z0u7kQN8QwtM9uwm0NwRahUCrEOhkhYHOVHdWbmW/sFvBbVbaTaDLEWgVAq1CoJ1Zp0A/HsL03Mru4V8KbrPS7qoPcbzSs5tAe0OgVQi0CoFOVhjoRV2R3TYcX3CblXZXfZKwYOYItDcEWoVAqxDoZEWfxfHZsF928XIIVxXeaIXdyS+zi8KWBbsJtDcEWoVAqxDoZEWBPjGsNzezODYMeCe72fH84kq7syq+UWV+ZvnC+kWfVUqgvSHQKgRahUAnKwr0vA3Ddtfef0IIY3KbR4bN5lXYnVUp0AP+8ie3XfKpEB4s2E2gvSHQKgRahUAnK/5GlRvXy33e0T/k/3L+dAjTKuzOqhToMzbOHTWpcDeB9oZAqxBoFQKdrOQ7CeeM2HKDnc9Zkd+4ZMhuiyvszqoU6Pue+e5mG//jL4t2E2hvCLQKgVYh0MlU3+qdgEB7Q6BVCLQKgU5GoGUItAqBViHQzvQ+0Nucnj1v8eJlqYzn29/py8yX6R+B7lj8+jzrQdREoFUItAqBTrbw776fOW11CH+Xyni+dHhfZr5M/wj0hyF81XoQNRFoFQKtQqCTLTxhm5XpBfrlAZf3ZebLEGgZAq1CoFUIdLKFzw48K7VAt++z9Zt9mfkyBFqGQKsQaBUCnWxhfNaAf1uTTqAXf2/gL/sy8eUItAyBViHQKgQ62cK447SB208IYduL1MZuvtFVfZn3Cgi0DIFWIdAqBDrZwjheM2PUXwa9jT5//Ny+THslBFqGQKsQaBUCnSwb6A8/fDeEL/ZlihqFQMsQaBUCrUKgkxFoGQKtQqBVCLQzBNoOgVYh0CoEOj2vRm1v5lZmROd27noymtB1bcd9p4waOeHXn5ScRKDtEGgVAq1CoNPzahRdlFvpCfTlUfRufm3txVE0alQUTV5VfBKBtkOgVQi0CoFOTybQba9nV7oD3XFEFN2SX701OuLpzCHjoqnFJ6Ub6PmXH/DlfzzsN32Yy3VEoGUItAqBVum3gY7Oz650B/rFaEp0Sm5t9ejosexybnR4R9FJqQb6oc/nX0D3rVf6Mp3rgkDLEGgVAq3SXwN9xOTolbgg0NdEM8e35T5Cf2505Nrssn1k12MendIM9DOf6nqJ8z8u6Mt8rgMCLUOgVQi0Sr8N9FNR9sOauwM9rm3ZddFd2bVb8n9bx/FNV79XdFKagT6k500oP+7LfK4DAi1DoFUItEq/DXR8WvRST6DnRZPjZ6Ozs6vXRVcUH9y+LG9hby3KBHrhwgUh7PxaDc9v2BPoL9c6WOyNxW82+L/YB++/GsI/9foH0GhrV1iPoLblcfxn6zHU9ska6xHUtjQTaOsx1PbneHFfTisJpkWgn43O7An0jdGNcfuoEZk/L+Kro2uKD35q17ylfftvrU7hrd4taY91+5kD6COLQMdnRM92B/qk6OU4/vdoZkyg3SLQgA2TQL8YndYV6Peiwzri+N7oR3GFQL96fN6S1b0Vxx2rVy8PYcheNXytoEODah2stnej/4N9sPfwEL7e6/lvtI526xHU1h7H/WCUazusR1Dbmjheaz2G2trjPp1WEkyTQMdnR3M7Az09+knmclF08KrsY9BXVj4pxScJP/h0T6Cjvjymvw54klCGJwlVeJJQpf8+SRjHL0eTOwN9WtRpdvZVHBfkD5p+wwdFJ6X5Ko7zuvs84K6+zOc6INAyBFqFQKv050DH50YX5QK9tK1tXNbh0U/j+KnoyNwbVNoPihYUnZRmoBfs3RXoU/syneuCQMsQaBUCrdKvA/1a1JYL9D3RGbndr0Sj18arDo2ezm48HY0pPinVdxLO/z8bZfO8zc/7MpvrhEDLEGgVAq3SrwMdXxjlAv1v0W9zmx1jo2fjeFp0zBtx/O6E6NfFJ6X8YUmvXnfuBdPm934q1xWBliHQKgRapX8Hel7uL+gVB0adjzb/3+iqOG4/P4rGjo2iKWuKT+LT7OwQaBUCrUKg09MV6PjibKBnRZM69z8djc1crv3dxJEHT7yl9KUmBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2pk+BnrB8OFH9GWKGqV/BHrp3sOPtR5ETQRahUCrEOhk+UB71z8CHfft96yxCLQKgVYh0MkItAyBViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAp2x8vHbp0697bGVKbe3LgTaDoFWIdAqBDp++ZDBIWfwqD+m3t+aCLQdAq1CoFUI9D2bhG5Dfp9+gWsg0HYItAqBVmn5QL81JKw/5qbZzz0355aThoahbzWgwVURaDsEWoVAq7R8oE8Imz7etf7mZ8IJqda3DgTaDoFWIdAqLR/oHcIlPRtXhc+l2N66EGg7BFqFQKu0fKAHh4d7Nh4Og1Nsb10ItB0CrUKgVVo+0FuFG3s2poZPpdjeuhBoOwRahUCrtHygDwhfWtq1vvSL4aBU61sHAm2HQKsQaJWWD/SDIXx+6sLs2qIbvxAKH++wQaDtEGgVAq3S8oGOz8q+AHrTbbbZNLs8O/UA10Kg7RBoFQKtQqDja7btep/KNtek3t+aCLQdAq1CoFUIdByvuuf88d///vjz7lmVdn3rQKDtEGgVAq1CoJ0h0HYItAqBVmn5QE+cuKJn48FJP0uxvXUh0HYItAqBVmn5QIewpGdjatg8xfbWhUDbIdAqBFqlpQP9UEYIdz/UZfqXw2YN6nAiAm2HQKsQaJWWDnQod0iDOpyIQNsh0CoEWoVAF9n9gwZ1OBGBtkOgVQi0SksHenpGCFOnd7rtntcaVOEqCLQdAq1CoFVaOtC5nYVPEjpAoO0QaBUCrdLygR45cnkDsls/Am2HQKsQaJWWD7Q3BNoOgVYh0CoEOo7ff+TuO7qlHeBaCLQdAq1CoFUI9D1fLnodR/oJro5A2yHQKgRapeUDfe96gUCnj0DLEGgVAq2SYqC/FsJRNz/Y/WbChxrQ4KoItB0CrUKgVVo+0BuG8Q3Ibv0ItB0CrUKgVVo+0H8Rpjcgu/Uj0HYItAqBVmn5QI8IFzcgu/Uj0HYItAqBVmn5QD+7wRbPNaC7dSPQdgi0CoFWaflA3/qDsMlpl/VoQIOrItB2CLQKgVZp+UCXfp5dAxpcFYG2Q6BVCLQKgSbQjUCgZQi0CoFWSTHQC0o0oMFVEWg7BFqFQKu0fKC9IdB2CLQKgVYh0M4QaDsEWoVAqxDoOF56+0UnH39sdu3R1enWtw4E2g6BViHQKgT6/SMHdT07eMXAUakHuBYCbYdAqxBolZYP9OLPZes8OBfo+wbav++bQNsh0CoEWqXlAz05DDxm5qI5+dfXjQ37pl7gGgi0HQKtQqBVWj7QO4UzMpedgb49DEs7wLUQaDsEWoVAq7R8oDcIs+LuQD8SBqcd4FoItB0CrUKgVVo+0JuFaXF3oG8KW6Ud4FoItB0CrUKgVVo+0N8Jw9d2Bbr96+Hb6Se4OgJth0CrEGiVlg/0XSHsdfuCJzKBXvE/e4VwUwMaXBWBtkOgVQi0SssHOj4m+zK7ASFslF1GHeknuDoCbYdAqxBoFQLdcdEWXZ9kt9HkVekXuAYCbYdAqxBoFQIdxyvuu3TKhPGTzrtlUdr1rQOBtkOgVQi0CoF2hkDbIdAqBFqFQDtDoO0QaBUCrUKgM95/9aVuKfe3JgJth0CrEGgVAv3K6M34yqvUEWgZAq1CoFVSDPTzm/KdhA1AoGUItAqBVkkx0AeEsMePrrmuW/oJro5A2yHQKgRapeUDvbn9J4wWIdB2CLQKgVZp+UBvaP/u7iIE2g6BViHQKi0f6L8P1zcgu/Uj0HYItAqBVmn5QF8R/n5ZA7pbNwJth0CrEGiVlg90x6Fhm7NuvaNbAxpcFYG2Q6BVCLRKywc6fnRTXmaXPgItQ6BVCLRKioGeNZjXQTcAgZYh0CoEWiXFQA8PYd//euChbg1ocFUE2g6BViHQKi0f6CHhew3Ibv0ItB0CrUKgVVo+0ENzXxrrB4G2Q6BVCLRKywd6eJjagOzWj0DbIdAqBFql5QN9e/jqJw3obt0ItB0CrUKgVVo+0Ld8Jfyvn1zWowENropA2yHQKgRapeUDHQIvs2sAAi1DoFUItAqBTkagZQi0CoFWaflA1zin4Qi0HQKtQqBVWj7Q3hBoOwRahUCrEGhnCLQdAq1CoFUIdEb7yrxlb913c8r9rYlA2yHQKgRahUC/NnrrgucI908/wdURaDsEWoVAq7R8oBdsXfQiDgKdDgItQ6BVCLRKioE+KYR9Tz9naDjnnHPO2i6c9FIDGlwVgbZDoFUItErLB3qnMDFzOSx33eubb/5K2gGuhUDbIdAqBFql5QM9OMzIXO4QcgefFg5IO8C1EGg7BFqFQKu0fKA3Cb/PXO4SHshuXBs2TTvAtRBoOwRahUCrtHygvxLGZi6PCm3ZjVPDkLQDXAuBtkOgVQi0SssH+ooQ2ubE94dw5KxHf7xxGN6ABldFoO0QaBUCrdLygW7fJ4TL4nh058vs7mhAg6si0HYItAqBVmn5QMerTt80E+g1p2S/3XvolekXuAYCbYdAqxBoFQKd6duK7OWSO6fe++d041sPAm2HQKsQaBUC7QyBtkOgVQi0CoF2hkDbIdAqBFql5QM9ceKKno0HJ/0sxfbWhUDbIdAqBFql5QMdwpKejalh8xTbWxcCbYdAqxBolZYO9EMZIdz9UJfpXw6bNajDiQi0HQKtQqBVWjrQpV8Ym3FIgzqciEDbIdAqBFqFQBfZ/YMGdTgRgbZDoFUItEpLB3p6RghTp3e67Z7XGlThKgi0HQKtQqBVWjrQuZ2FTxI6QKDtEGgVAq3S8oEeOXJ5A7JbPwJth0CrEGiVlg+0NwTaDoFWIdAqBDqjfWXesrfuuznl/tZEoO0QaBUCrUKgXxtd+L3efKt3Ogi0DIFWIdAqKQZ6wdZFr7Mj0Okg0DIEWoVAq6QY6JNC2Pf0c4aGc84556ztwkkvNaDBVRFoOwRahUCrtHygdwoTM5fDcte9vvnmr6Qd4FoItB0CrUKgVVo+0IPDjMzlDiF38GnhgLQDXAuBtkOgVQi0SssHepPw+8zlLuGB7Ma1YdO0A1wLgbZDoFUItErLB/orYWzm8qjQlt04NQxJO8C1EGg7BFqFQKu0fKCvCKFtTnx/CEfOevTHG4fhDWhwVQTaDoFWIdAqLR/o9n1CuCyOR3e+zO6OBjS4KgJth0CrEGiVlg90vOr0TTOBXnPK4Eyeh16ZfoFrINB2CLQKgVYh0Jm+5b6VcMmdU+/9c7rxrQeBtkOgVQi0SssH+o7fPtGA7NaPQNsh0CoEWqXlAz0gHNWA7NaPQNsh0CoEWqXlA719GNGA7NaPQNsh0CoEWqXlA31FGDS7Ad2tG4G2Q6BVCLRKywf6+t3DRidd1qMBDa6KQNsh0CoEWqXlA136vd4NaHBVBNoOgVYh0CoEmkA3AoGWIdAqBFolzQ/sL9GABldFoO0QaBUCrdLKgb7ssj81Krv1I9B2CLQKgVZp5UA7+OSNcgTaDoFWIdAqBNoZAm2HQKsQaBUC7QyBtkOgVQi0CoF2hkDbIdAqBFqFQDtDoO0QaBUCrdLagd5wkzKNCnESAm2HQKsQaJXWDnQFjQpxEgJth0CrEGiV1g70N0aVaVSIkxBoOwRahUCrtHageQy6UQi0DIFWIdAqBDoZgZYh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAq7RyoOfNW9Go7NaPQNsh0CoEWqWVA+0SgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgWTb3BsAABz/SURBVLZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQJth0CrEGgVAu0MgbZDoFUItAqBdoZA2yHQKgRahUA7Q6DtEGgVAq1CoJ0h0HYItAqBViHQzhBoOwRahUCrEGhnCLQdAq1CoFUItDME2g6BViHQKgTaGQKt9sFvfrDn8Lrstffe9R2Ysf95LxjdHwKtQqBVCHQyAl3d018N27cdLPfNDTa+yOYOEWgVAq1CoJMR6Kpe+Myw33ak8YP64Khwpsk9ItAqBFqFQCcj0FXtv9Wf0vpRnbze/Rb3iECrEGgVAp2MQFfz2ICrU/tRrfrcSIu7RKBVCLQKgU5GoKu5aP2P0vtZTfkLi7tEoFUItAqBTkagqznhsyn+rK4JbxjcJQKtQqBVCHQyAl3NcX+V4s/qhvCawV0i0CoEWoVAJyPQ1RBoEwRahUA7Q6ClCLQJAq1CoJ0h0FIE2gSBViHQzhBoKQJtgkCrEGhnCLRUSaBnj9hyg78+++PyaV9x9d/MrH1UCQKdhECrEGhnCLRUcaCvHxiy/rb0N2P+GVuGMLPWUWUIdBICrUKgnSHQUkWBfnlQ2Om/H/nhgDCqaMrnjh6UDfLM6kdVQKCTEGgVAu0MgZYqCvS4sNG8zOKkEN4onPIDQth5bE+gE46qgEAnIdAqBNoZAi1VFOhtw2HZxbwQfl445SO+dUfH3T2BTjiqAgKdhECrEGhnCLRUYaDfC+HK3MqwMK5wyrO/Jz2BTjpq7VVfGzp4pxPfLdhFoJMQaBUC7QyBlioM9MMh3J1b2SPsWTrtPYFOOGr1d3PPHIat/tizj0AnIdAqBNoZAi1VGOg7Q3g0t7J/2KV02nsCnXDUmSEceteMH4YwomcfgU5CoFUItDMEWqow0NNCmJNbGRl2Lp32nkBXPqp9s/Cd7HJE2KRnJ4FOQqBVCLQzBFqqMNA39aS37P2FPYGufNSKSy99PLs8N4Rl3TsJdBICrUKgnSHQUqpAd/lRCD2/VgQ6CYFWIdDOEGiphEDvVDrtFQNdfNTDx//T57ffnEDXg0CrEGhnCLRUyWPQT+RWRoYvlk570WPQlY5qHxs6EejaCLQKgXaGQEsVBjoT4Vm5lf3CbqXT3hPohKPODGG/+9/nIY76EGgVAu0MgZYqDPTjIUzPrewe/qV02nsCXfmoZRuGQ7NLAl0XAq1CoJ0h0FKFgV4UwqW5lW3D8aXT3hPoykf9PoT7s0sCXRcCrUKgnSHQUkWfxfHZsF928XIIV5VOe8FncVQ86tchPJRdXkCg60GgVQi0MwRaqijQJ4b15mYWx4YB72Q3O55f3H1VQaBLjsr7nxAuyize+mwI87t3EugkBFqFQDtDoKWKAj1vw7DdtfefEMKY3OaRYbN5XVcVBLrkqLzlm4WNTrnuzK1CCC927yTQSQi0CoF2hkBLFX+jyo3r5V4o9w/5v5w/HcK0rmsKAl1yVKercvuGTOp6CjGLQCch0CoE2hkCLVXynYRzRmy5wc7nrMhvXDJkt+4GFwa6+Kguvxs+ZOh+z/9p//2ndu8i0EkItAqBdoZAS/Gt3iYItAqBdoZASx23Y4o/KwKdhECrEGhnLAP9zowZc0Q3Vcoq0OM/k+LP6rowz+AuEWgVAq3w8owZLxDoZMJAPxLC/qKbKmUV6AsGrag953119pAPDO4SgVYh0AqXh3AmgU5GoKt5IPwqtR/V2i+mNVtVEWgVAq1AoKsj0FV98zMfpPWj+tGA2y3uEYFWIdAKBLo6Al3VH7b86zmp/KBWnjXgOJN7RKBVCLQCga6OQFf30BcGfPXY09QmHLzl+pMsHoEm0DoEWoFAV0ega5h/+Xd33r4un9txxx3qO3L7Hb5ywiNG94dAqxBoBQJdHYGWWR337fessQi0CoFWINDVEWgZAq1CoFUItDME2g6BViHQKgS6ho77Thk1csKvP8lv3HvK9/73xFtXZ9dfjdrezO2cEZ0bPxF1uyZ+PbtoO/zcZyucc0TX7b7adfwlBNoLAq1CoFUIdHVrL46iUaOiaPKqzEb7hVE0YkQUnbIiX9iLugP9zFEZbdGRmcvfZALddtRRY9qitvvLzykIdNtROf+PQHtBoFUItAqBru7W6IinMzUdF2U/ZPLGaPQj7R3PHB1dng902+tdgc4ZHb2dW74ejc5cLv9JdMjKsnMKAn1EXAmBNvPUpL/fYrtv/+f71uOogUCrEGgF00CvHh09ll3OjQ7viD8ZFT2V3XjzgBGL849RnF8l0PGqw6I5ZecQaLeu2jj3mfzhGxYfUdcLBFqFQCuYBnpudOTa7LJ9ZPRu/IfouPzeM6L7c4WdHL1SJdDxv0Z3lp9DoJ26Of89KtlC27wBpV4EWoVAK5gG+pb8H8lxfNPV72U2fpLfuCa6NlfYp6Jzqgf6nvJzCLRTXwzdrrMeS1UEWoVAK5gG+rroip6N66P/zK/cHP00X9jTopeSA7380OiZCuckBHr5i3kLl/TS0szf9709J8HszF+PM9Mx68lZKd2yyLU9fQ7ftB5MVU88aj2C2h598smHrcdQ22NPWI+gtllPPvmY9RiqOz2Ef10eL+tLcNY90FdH1/Rs/CK6Pr9ye/a1cdnCPhudmRjojy+IfrC2wjndgT5gXNaFndtP7Zq3tPeDlHkxAEAvXVi7LfVY10BfXR7bM6JnKwX6gOOOO7otOviliufkdb0OelLnNoEG0C/5DfSL0WmVAp1z8PuVz8krfYjjrQvzFq/srThe2+tzKpsbwvZHpePoY45O6ZZF9in4fdvGejBVeZ/JrKOP6Q+jHDfOegS1ZWbS+Si/GcK5q+NP+hKcdQ/0ddGVhRvljyefHc2t/BDHmjHRMwnnVAx0F54ktPH2xj2BPt16MFXxJKEKTxIqGL+K44L8yvQbPuh5Rca12ermC/tyNDnhMehf5V4AUukcAu3RpO4+b/6y9ViqItAqBFrBNNBPRUd2ZJftB0UL4j9Ex+b3nhnd113Yc6OLKgd68Yi2BXHlcwi0Q/P37OzzBtOsh1IdgVYh0AqmgV51aPR0dvl0NCaOV3a+K/CdEQcs7C7sa1FbwsvsLol+kXAOgfZowRlbZPv8jQetB1IDgVYh0Aq2n8UxLTrmjTh+d0L06zj7qMXox9bGLx0XXVZQ2AujhEC/EI1akXAOgXbp40d/86tnrAdRE4FWIdAKtoFuPz+Kxo6NoilrshsXRNFBI6No0scFhZ2X9Bd0PDG6o+yc/Iufx93bs8rHjbrBp9mpEGgVAl3D2t9NHHnwxFtyH+ccd9x78sEjT5yW/ejRnj+BL04K9H3RsR2l53S6tWf1VALtBYFWIdAqBNoZAm2HQKsQaBUC7QyBtkOgVQi0CoF2hkDbIdAqBFqFQDtDoO0QaBUCrUKgnSHQdgi0CoFWIdDOEGg7BFqFQKsQaGcItB0CrUKgVQi0MwTaDoFWIdAqBNoZy0A/P2bMJaKbKkWgZQi0CoFWuHvMmF8T6GTCQKeIQMsQaBUCrUKgkxFoGQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO0Og7RBoFQKtQqCdIdB2CLQKgVYh0M4QaDsEWoVAqxBoZwi0HQKtQqBVCLQzBNoOgVYh0CoE2hkCbYdAqxBoFQLtDIG2Q6BVCLQKgXaGQNsh0CoEWoVAO7N4YW8tXbqk1+c03JKOpdZDqG3J0n4wyIXty61HUNvipUt7/4vccCtXW4+gtkX94p/3Rx2L+nJaSfv6RaB7beWuux5mPYYmMW7XXRdZj6E5XLvrrndYj6E5/HHXXc+wHkOjEGhURaBVCLQKge7vCLQMgVYh0CoEur8j0DIEWoVAqxDo/o5AyxBoFQKtQqD7OwItQ6BVCLQKge7vCLQMgVYh0CoEur9bO3v2c9ZjaBIvzJ692noMzWH+7Nml70JAnyyfPfs16zE0SnMGGgCaAIEGAKcINAA4RaABwCkCDQBONVOgZ08eedhPF1ffg7pUmLiOJ86432g0/VnZTLbffMJBh174ptmA+q2ymVz1y6NHjPn5ErMBNUQTBXpmW3TCYdG4P1fbg7qUT9yqu46Lohl2I+qvymfyoqht3MHR9962G1P/VDaT7WdEBx5/cHTUMsNBpa95Ar1qdPRIvPrs6JdV9qAu5RP34ejooMMIdK+Vz+TsaOxb8SenR/9uOKr+qHwm742O+zBeMSX6L8NRpa95Av1ENCVz+Xo0rsoe1KV84t4e/V+LLyHQvVY+k/8e3ZW5fDk62GxM/VP5TF4Q3Rdn/wfvFLMxNULzBPqm6Ibs4pBoefIe1KV84lZ9EscEuvfKZ/KY6E+Zy9VR1G42qH6pfCafmpl9+PmVaLzZmBqheQL9H9E92cWE6I3kPahL5Ykj0L1XPpNvvp4t80fR4WZj6p+S/jHfFV1qMZyGaZ5AXxw9mF2cHL2UvAd1qTxxBLr3kn4FZ0WXWAynH6s8kyufOPzA5v5YjuYJ9IXRrOzi1Oi55D2oS+WJI9C9l/AruHZC9KzJePqvSjP5cRRFo/5gNaLGaJ5AX9D1E3w2eQ/qUnniCHTvJfwKTovONRlOP1ZpJldOPn5EdOEaqyE1RBMG+rnkPahL5Ykj0L1XeSZfPXDU+zbj6b8S/jEvnBTdaDKeRmmeQF8czcwuTo5eTt6DulSeOALdexVn8uOjowdshtOPJf1jfj46zmA0jdM8gb489wLTeEL0VvIe1KXyxBHo3qs4kxdGVxoNpx9L+se8MmpbazGeRmmeQE+Lrs9cdoyKVibvQV0qTxyB7r1KMzk9msR31PRa+UyeNz77gSaZQHfYjSp9zRPoudEPM5evFvw/nvI9qEvliSPQvVdhJl8acch7ZuPpv8pn8qzcOwlfiI4xG1MjNE+g24/I/MBWnRVNza7fOK2jeA96oXwqswh075XP5Edj22Zbj6o/Kp/JO6Nx78d/PoXP4ugvHm6Ljh0dHZt9K+icKPd69oI96I3yqYwJdJ+UzeSV0chJOddZD62fKZvJNVOiEceNjE5q7gcwmyjQ8ZOTR47+ae7jYT/8wbEfFe9Br5RPJYHum9KZvCTq9CPrkfU3Zb+Tq6aOGzH2mib/86uZAg0ATYVAA4BTBBoAnCLQAOAUgQYApwg0ADhFoAHAKQINAE4RaABwikADgFMEGgCcItBAgmHhyAp7NwiTk0+peiXQWwQaTWh4CF/t2RoTwrC+3EpnoH8w5PLCvQQajUOg0YQygR4wv2tjzRa1Aj09hIcq7M4HumNg2KVwL4FG4xBoNKFMoMMVXRszwjoFOv5uOK9wL4FG4xBoNKFsoPfu2hi/joGOiz8SnkCjcQg0mtDwMCisvzi/3vGXYf11C3QxAo3GIdBoQsPDPw8MnV9WNzuE4V2BfujArTfYcfw7ufUFIfzyyh0G3BGPDDkTszvbr/zqkME7nbQgd0RnoLs6vXjyDhtsf/rKrgYXHVp6ZXzPPptv+IWTF6d/V9HUCDSa0PBw4DfCgfn1KeHTP+wM9Ln5FG+a/TrobKB3z2z8tjDQq/fNr3/qtewRxYF+d6fcVXsPzje4+NCSKzvG56/c8f1G3ms0HwKNJjQ87PuzsPGK3PrO4cQJ+UBfF8KXfvXQxUPD0FfiXKDDoLYfPBEvXzI1hLuXZI8+PYQxd983MYTR2eOLA31QCN/+1W3HDwj5BhcfWnLlJZm/2n8z6/SBFR8jAepGoNGEhoc95w8I07OrL4Yw6+hcoFdvF3Zamlk+tn44NM4FeqPH84d3PQa9ZtMQZZf7hq2zi6JAvz0g7NORWf483+DiQ0uuXLFF2GttZnlMGLS0UXcZTYlAowkND7vHe4Qx2dULw3Zrj8gF+vchTM1de0QYvDIX6JM6D+8K9IrLLpuTXWb+Om6PSwJ9fQgzcwfnH2YuPrTkyvtCuD27NbNzCfQRgUYTGh52iX8WtliTWd0tnBgfnAv0+SEszF17UwiP5wJ9Wefhpa/iOCeE7EvrigJ9ahiYf7ld8Qs18oeWXHlpCLnnDheFcFFadxEtgUCjCQ0PX4rnDwgz4vjtEGbFUS7Q48Om+Wtn5/6wrRzo+4/adYdhQysEelzYMn9Ed6ALDi25ckoY8MScrMHh5PTvLJoYgUYTGh52jOM9wvg483f0dmvjb+cC/f2wTf7a53KPdVQK9JrRoVNZoA/veqleZ6CLDi25ckLodnxj7jCaFIFGExoeto/j/wjDOuI9w4Q43qveQJ8aQtvMDyo+xFEa6KJDS64c3xPoYxtzh9GkCDSaUC7Q7wwIsxetH2Z1BfqEroc45oRwW8VALxmcf2KxUqDHha3yB+cbXHxoyZWTwkbp30e0AgKNJpQLdPz1MOW67CMcnYE+L4RFuWtvDeGxioG+M/uAdVw50FPCwFW5g/MNLj605MrMf2lFY+4omhyBRhPKB/qnYee27CMcnYG+J4Qbc9dODINWFgX6ts5ATw3h0ezyrAqBviGEh7NbHfk3CxYfWnLlzV2vugPWDYFGE8oH+p0BYf3wYNwV6FXbhC9k3zfy1qZhVFwU6Htyj3nE8b0h/DizmLddCMvikkC/t14Ykd36j/x7UYoPLbly0YZhr+wLqeObuz/zFOgLAo0mlA90vHvIPcLRGej4P7Nv9X7k6s+GTf4YFwX6tRB2nZop+UdDw8anXnf6FiGEt+LSt3ofEcI+N9x8TOe7uUsOLb4ynhTC12969I6jBgx8tLF3HE2GQKMJdQb6spB7hKMr0PG/5l9ZMeSe7EZBoON/yuydlFlekbt+8xNDyH6eUnGgF/5N7spv7ZhvcPGhJVd+sn/nizi+t7pRdxlNiUCjCXUG+u0BuUc4ugOd/bjRwTsc/2ZuvTDQ731vs81+ll357Tc3GfrdP760//43x2UfN7rslO0Hbz9l5W6db1QpOrT0yrVT995i0HbfmZb6PUVzI9AA4BSBBgCnCDQAOEWgAcApAg0AThFoAHCKQAOAUwQaAJwi0ADgFIEGAKcINAA4RaABwCkCDQBOEWgAcIpAA4BTBBoAnCLQAOAUgQYApwg0ADhFoAHAKQINAE79f2t6pQ+6r3VzAAAAAElFTkSuQmCC)
Dados ao nível de planta teste
#-----------------------------------------------------------------------
# Importação.
tb <- read_excel("DADOS 3 Experimento.xlsx", sheet = 2, skip = 1)
str(tb)
## tibble [180 × 6] (S3: tbl_df/tbl/data.frame)
## $ ensaio : num [1:180] 1 1 1 1 1 1 1 1 1 1 ...
## $ fonte : num [1:180] 1 1 1 1 1 1 1 1 1 1 ...
## $ tratamento: chr [1:180] "NAC" "NAC" "NAC" "NAC" ...
## $ inseto : num [1:180] 1 2 3 4 5 6 7 8 9 10 ...
## $ teste : num [1:180] 1 1 1 2 2 2 3 3 3 4 ...
## $ pcr : num [1:180] 0 0 0 0 0 0 0 0 0 0 ...
# DANGER: por alguma razão os dados estão ao nível de inseto mas
# duplicados. Precisa criar a variável ensaio.
# xtabs(~fonte, data = tb)
tb <- tb %>%
select(-inseto) %>%
group_by(ensaio, tratamento, fonte, teste) %>%
slice(1) %>%
ungroup()
tb <- tb %>%
mutate_at(c("ensaio", "tratamento", "fonte"), "factor")
str(tb)
## tibble [61 × 5] (S3: tbl_df/tbl/data.frame)
## $ ensaio : Factor w/ 3 levels "1","2","3": 1 1 1 1 1 1 1 1 1 1 ...
## $ fonte : Factor w/ 3 levels "1","2","3": 1 1 1 1 1 1 1 1 1 1 ...
## $ tratamento: Factor w/ 2 levels "CONTROLE","NAC": 1 1 1 1 1 1 1 1 1 1 ...
## $ teste : num [1:61] 11 12 13 14 15 16 17 18 19 20 ...
## $ pcr : num [1:61] 0 0 1 0 0 0 0 0 0 0 ...
ggplot(data = tb,
mapping = aes(x = teste, y = pcr, color = tratamento)) +
facet_wrap(facets = ~fonte, scale = "free_x") +
geom_point()
![](data:image/png;base64,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# DANGER: um único resultado positivo no primeiro ensaio. Isso pode
# gerar problemas de estimação sem contar que a suposição de variância
# igual pro efeito aleatório de fonte e teste nos ensaios talvez não ser
# realista.
#-----------------------------------------------------------------------
# Ajuste do modelos aos dados de PCR.
# Ajuste do modelo de efeitos aleatórios.
m0 <- glmer(pcr ~ (1 | fonte) + tratamento,
family = binomial,
data = tb)
# Estimativas dos componentes de variância.
summary(m0)
## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: pcr ~ (1 | fonte) + tratamento
## Data: tb
##
## AIC BIC logLik deviance df.resid
## 44.1 50.4 -19.1 38.1 58
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -0.4613 -0.3792 -0.3011 -0.1981 4.0079
##
## Random effects:
## Groups Name Variance Std.Dev.
## fonte (Intercept) 0.3379 0.5813
## Number of obs: 61, groups: fonte, 3
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -1.9925 0.7078 -2.815 0.00488 **
## tratamentoNAC -0.8371 0.9214 -0.908 0.36362
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## tratamntNAC -0.424
# Médias com intervalo de confiança.
emm <- emmeans(m0, specs = ~tratamento, type = "response") %>%
multcomp::cld()
emm
## tratamento prob SE df asymp.LCL asymp.UCL .group
## NAC 0.0557 0.0470 Inf 0.0102 0.253 1
## CONTROLE 0.1200 0.0747 Inf 0.0329 0.353 1
##
## Confidence level used: 0.95
## Intervals are back-transformed from the logit scale
## Tests are performed on the log odds ratio scale
## significance level used: alpha = 0.05
emm <- emm %>%
as.data.frame() %>%
mutate(cld = as_letters(.group))
ggplot(data = emm,
mapping = aes(x = prob, y = tratamento)) +
geom_point() +
geom_label(mapping = aes(label = sprintf("%0.2f %s", prob, cld)),
vjust = -0.3) +
geom_errorbarh(mapping = aes(xmin = asymp.LCL, xmax = asymp.UCL),
height = 0.1) +
labs(x = "Resultado do PCR",
y = "Tratamento")
![](data:image/png;base64,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)