[英]Warning: Error in match.arg: 'arg' must be NULL or a character vector
[英]Error in match.arg(regions) : 'arg' must be NULL or a character vector
我想在 r 上制作一張地圖,並通過顏色的強度顯示價格彈性。 這是我使用線性回歸制作的數據:
IN log_PRICE -1.1059770 0.05943414 -18.60845 7.186435e-72
KY log_PRICE -1.0459502 0.03410250 -30.67078 2.739798e-196
OH log_PRICE -0.9076732 0.01259117 -72.08806 0.000000e+00
TX log_PRICE -0.2252409 0.01053847 -21.37321 4.117490e-101
IN log_PRICE -1.1059770 0.05943414 -18.60845 7.186435e-72
KY log_PRICE -1.0459502 0.03410250 -30.67078 2.739798e-196
OH log_PRICE -0.9076732 0.01259117 -72.08806 0.000000e+00
TX log_PRICE -0.2252409 0.01053847 -21.37321 4.117490e-101
library(usmap)
library(ggplot2)
library(tmpa)
library(sf)
library(leaflet)
plot_usmap(regions="state", data = CC1, values = "estimate",
include = c("IN", "KY", "OH", "TX"), color = "orange") +
scale_fill_continuous(low = "white", high = "orange",
name = "Price elasticity", label = scales::comma) +
labs(title = "Price elasticity for Cold Cereal",
subtitle = "States include: IN, KY, OH, TX") +
theme(legend.position = "right")
#That is the code I wrote but I keep getting this error
Error in match.arg(regions) : 'arg' must be NULL or a character vector
我不確定是什么導致了錯誤。 盡管該函數可能需要字符向量,但似乎使用了非字符向量。 您想在您的代碼和我的代碼之間進行比較。 也許,您還想檢查數據。 以下是為我工作。
plot_usmap(data = mydata, values = "estimate",
regions = "state", include = c("IN", "KY", "OH", "TX")) +
scale_fill_continuous(low = "white", high = "orange",
name = "Price elasticity", label = scales::comma) +
labs(title = "Price elasticity for Cold Cereal",
subtitle = "States include: IN, KY, OH, TX") +
theme(legend.position = "right")
為了好玩,以下是我自己的帶有 albersusa 包的版本。
library(tydyverse)
library(sf)
library(albersusa)
library(viridis)
mysf <- left_join(usa_sf("laea"), mydata, by = c("iso_3166_2" = "state"))
ggplot() +
geom_sf(data = mysf, aes(fill = estimate)) +
scale_fill_viridis(discrete = FALSE, option = "plasma")
數據
mydata <- structure(list(state = c("IN", "KY", "OH", "TX"), log = c("log_PRICE",
"log_PRICE", "log_PRICE", "log_PRICE"), estimate = c(-1.105977,
-1.0459502, -0.9076732, -0.2252409), se = c(0.05943414, 0.0341025,
0.01259117, 0.01053847), statistic = c(-18.60845, -30.67078,
-72.08806, -21.37321), pvalue = c(7.186435e-72, 2.739798e-196,
0, 4.11749e-101)), class = "data.frame", row.names = c(NA, -4L
))
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