数据子集的 ggplot2 线图
ggplot2 line plot for a subset of the data
我有一些数据集，可以这样称呼它 plot_data_lines：
|Year |City |value |
-----------------------------
|1981 |Bogota |4 |
|1981 |Cali |3 |
|1981 |Lima |2 |
|1981 |Sao Paulo |1 |
|1981 |Santiago |6 |
|1982 |Bogota |4 |
|1982 |Cali |2 |
|1982 |Lima |1 |
|1982 |Sao Paulo |0 |
|1982 |Santiago |4 |
|1983 |Bogota |3 |
|1983 |Cali |4 |
|1983 |Lima |1 |
|1983 |Sao Paulo |6 |
|1983 |Santiago |6 |
|... |... |... |
|2020 |Bogota |5 |
|2020 |Cali |7 |
|2020 |Lima |9 |
|2020 |Sao Paulo |1 |
|2020 |Santiago |3 |
它已经是长格式了，当我请求数据集的 class 时，我得到的是：
> class(plot_data_lines)
[1] "tbl_df" "tbl" "data.frame"
我需要制作城市子集的线图，例如：卡利、波哥大和利马，但不一定是这些，也不一定只有三个，这就是我尝试过的：
plot_data_lines %>%
filter(City %in% c("Lima", "Bogota","Cali)) %>%
ggplot(plot_data_bar, aes(x = "Year", y = value, color = City)) +
geom_line()
但是我得到这个错误：
Error in `ggplot()`:
! Mapping should be created with `aes()` or `aes_()`.
Run `rlang::last_error()` to see where the error occurred.
出了什么问题？你们能帮帮我吗？
编辑：这是我根据 Allan Camero 的推荐得到的情节：
这次出了什么问题？
这是我的数据样本，以便于重现：
structure(list(Year = c("1981", "1981", "1981", "1981", "1981",
"1981", "1981", "1981", "1981", "1981", "1981", "1981", "1981",
"1981", "1981", "1981", "1981", "1981", "1981", "1981", "1981",
"1981", "1981", "1981", "1981", "1981", "1981", "1981", "1981",
"1981", "1981", "1981", "1981", "1981", "1981", "1981", "1981",
"1981", "1981", "1981", "1981", "1981", "1981", "1981", "1981",
"1981", "1982", "1982", "1982", "1982", "1982", "1982", "1982",
"1982", "1982", "1982", "1982", "1982", "1982", "1982", "1982",
"1982", "1982", "1982", "1982", "1982", "1982", "1982", "1982",
"1982", "1982", "1982", "1982", "1982", "1982", "1982", "1982",
"1982", "1982", "1982", "1982", "1982", "1982", "1982", "1982",
"1982", "1982", "1982", "1982", "1982", "1982", "1982", "1983",
"1983", "1983", "1983", "1983", "1983", "1983", "1983", "1983",
"1983", "1983", "1983", "1983", "1983", "1983", "1983", "1983",
"1983", "1983", "1983", "1983", "1983", "1983", "1983", "1983",
"1983", "1983", "1983", "1983", "1983", "1983", "1983", "1983",
"1983", "1983", "1983", "1983", "1983", "1983", "1983", "1983",
"1983", "1983", "1983", "1983", "1983", "1984", "1984", "1984",
"1984", "1984", "1984", "1984", "1984", "1984", "1984", "1984",
"1984", "1984", "1984", "1984", "1984", "1984", "1984", "1984",
"1984", "1984", "1984", "1984", "1984", "1984", "1984", "1984",
"1984", "1984", "1984", "1984", "1984", "1984", "1984", "1984",
"1984", "1984", "1984", "1984", "1984", "1984", "1984", "1984",
"1984", "1984", "1984"), City = c("Sao Paulo", "Mexico City",
"Lima", "Bogota", "Rio de Janeiro", "Santiago", "Caracas", "Buenos Aires",
"San Salvador", "Brasilia", "Fortaleza", "Guayaquil", "Quito",
"Belo Horizonte", "Medellin", "Cali", "Havana", "Manaus", "Curitiba",
"Maracaibo", "Recife", "Santa Cruz", "Porto Alegre", "Guadalajara",
"Belem", "Puebla", "Goiania", "Cordoba", "Juarez", "Montevideo",
"Leon de los Aldama", "Tijuana", "Barranquilla", "Tegucigalpa",
"Campinas", "Barquisimeto", "Monterrey", "Sao Luis", "Managua",
"Ciudad Nezahualcoyotl", "Maceio", "Callao", "Santo Domingo",
"Guatemala City", "Port-au-Prince", "Rosario", "Sao Paulo", "Mexico City",
"Lima", "Bogota", "Rio de Janeiro", "Santiago", "Caracas", "Buenos Aires",
"San Salvador", "Brasilia", "Fortaleza", "Guayaquil", "Quito",
"Belo Horizonte", "Medellin", "Cali", "Havana", "Manaus", "Curitiba",
"Maracaibo", "Recife", "Santa Cruz", "Porto Alegre", "Guadalajara",
"Belem", "Puebla", "Goiania", "Cordoba", "Juarez", "Montevideo",
"Leon de los Aldama", "Tijuana", "Barranquilla", "Tegucigalpa",
"Campinas", "Barquisimeto", "Monterrey", "Sao Luis", "Managua",
"Ciudad Nezahualcoyotl", "Maceio", "Callao", "Santo Domingo",
"Guatemala City", "Port-au-Prince", "Rosario", "Sao Paulo", "Mexico City",
"Lima", "Bogota", "Rio de Janeiro", "Santiago", "Caracas", "Buenos Aires",
"San Salvador", "Brasilia", "Fortaleza", "Guayaquil", "Quito",
"Belo Horizonte", "Medellin", "Cali", "Havana", "Manaus", "Curitiba",
"Maracaibo", "Recife", "Santa Cruz", "Porto Alegre", "Guadalajara",
"Belem", "Puebla", "Goiania", "Cordoba", "Juarez", "Montevideo",
"Leon de los Aldama", "Tijuana", "Barranquilla", "Tegucigalpa",
"Campinas", "Barquisimeto", "Monterrey", "Sao Luis", "Managua",
"Ciudad Nezahualcoyotl", "Maceio", "Callao", "Santo Domingo",
"Guatemala City", "Port-au-Prince", "Rosario", "Sao Paulo", "Mexico City",
"Lima", "Bogota", "Rio de Janeiro", "Santiago", "Caracas", "Buenos Aires",
"San Salvador", "Brasilia", "Fortaleza", "Guayaquil", "Quito",
"Belo Horizonte", "Medellin", "Cali", "Havana", "Manaus", "Curitiba",
"Maracaibo", "Recife", "Santa Cruz", "Porto Alegre", "Guadalajara",
"Belem", "Puebla", "Goiania", "Cordoba", "Juarez", "Montevideo",
"Leon de los Aldama", "Tijuana", "Barranquilla", "Tegucigalpa",
"Campinas", "Barquisimeto", "Monterrey", "Sao Luis", "Managua",
"Ciudad Nezahualcoyotl", "Maceio", "Callao", "Santo Domingo",
"Guatemala City", "Port-au-Prince", "Rosario"), value = c(-0.00752411164965841,
-0.00858235806970273, -0.0193390181364576, -0.0254733683434182,
-0.0135609910986883, 0.105134246948455, -0.00327911235803224,
0.02163440097074, -0.0079795250800731, -0.0120663651057852, 0.00566322468255433,
-0.00977488904664624, -0.0168848675316369, -0.0196401016591058,
-0.0192114068827001, -0.0128140808793732, -0.014223152965439,
-0.00973446424945887, 0.0375699418169768, -0.02142105793661,
-0.00695816631860418, 0.0110692713467446, 0.0459416198602932,
-0.00522005746178392, 0.0117604524786534, -0.0171166573772657,
-0.0224270599445623, 0.0568574598072727, 0.363782440715696, 0.00176871008818945,
0.00615268511881207, 0.0218960489961891, -0.00677296734458201,
0.00848375774004822, -0.00592202637837714, -0.00823049786018653,
0.0654160956549713, 0.00655848522936036, -0.00811797806585994,
-0.00759894252446815, -0.0101038496148005, -0.0192750800973933,
-0.00774381271740157, -0.00270769939926697, -0.0115319737226118,
0.067601746659629, 0.0412887465245744, 0.0675304707144076, 0.049352729240842,
-0.00515059960494002, 0.0118978209360105, 0.0532868362072011,
-0.0138900894067038, 0.0553103203820288, 0.0144467932412351,
0.0230619422362681, -0.00768032309305345, 0.0295175710261359,
0.0291436275702546, 0.0334635285240448, 0.00297185628988496,
0.00860089159697064, 0.0418153705968756, 0.00884665494515552,
0.0567507349024041, 0.0115747255551046, 0.00494974302483174,
0.0222767386344832, 0.0410441639217649, 0.0339220986643466, -0.00851634191144674,
0.032073082124077, 0.0150209385609767, 0.0917094854315508, 0.136101721332058,
0.050368267606148, 0.0704829723767993, -0.0392054869667851, 0.000438081167034402,
0.00922131908379296, 0.0250832686146108, -0.0160053135734178,
0.105575686170073, -0.00770350237506892, 0.0185934426465312,
0.0622439535708169, 0.007220419413762, 0.0556334333005619, -0.0169255561672605,
0.0204398042931697, -0.00776762518081134, 0.0723950051880403,
0.020920878349233, -0.00995206377715023, 0.0929229547913617,
0.0228930063871382, 0.00842649575171037, -0.0425511033876532,
0.0473487675635951, -0.0093536731191666, 0.00856150354267576,
6.2395130758288e-05, 0.0180391647982547, 0.00166767498637137,
-0.00860498608682273, 0.0105366504728758, 0.00343173349545559,
-0.00792009126743003, -0.019685205307497, 0.0196050922389284,
0.0219901276461645, 0.0189481802235595, 0.0138318843795572, -0.00365097545580035,
-0.0166818970244572, -0.0479954584836083, 0.0184171924206671,
-0.0176179306226417, 0.000719905928180277, -0.00772610628525053,
0.0235675832224525, -0.0158458659538299, -0.0405076597339783,
0.0531548160747947, 0.00775762163745756, 0.026232494634189, 0.0130544024464169,
0.0467360166589372, 0.0193387856213601, 0.0191346924219357, 0.0251196408085357,
-0.0118308797174065, 0.0125649925727593, 0.0979136729415388,
0.0232545093007293, 0.00307768553311674, 0.0308309002997723,
-0.0158154410745328, 0.0304899632424906, -0.0230856315886497,
-0.113105853584711, -0.061531343276225, 0.0243821742105042, 0.15741352761236,
-0.0266363954419561, 0.00930455151957403, -0.0352929141002193,
0.0117437323008912, -0.0177357806200151, -0.0533701909768894,
-0.0723079488380151, 0.0349916330912371, -0.0541181208042864,
-0.034948153391848, -0.000224652317719612, -0.0338468457314207,
0.0481618504964105, -0.0161638266039731, -0.000296376579238326,
0.0431739523962326, 0.0433822174484497, 0.0169865188027782, -0.0287180945332731,
-0.0206794881498912, 0.0142301430755713, 0.033694331269516, -0.446442104059541,
0.00959839940203957, 0.0161915348613291, 0.0114643674721635,
-0.0244942682854959, -0.0382169511934245, 0.0403839854108356,
-0.00260313570491377, -0.202768982864469, -0.0273731843762094,
-0.0320431601672718, -0.0219882334689516, 0.00146763256941326,
-0.122515996840899, -0.0172163590871104, -0.027759749062993,
-0.0226039983152669, 0.0242689613566711)), row.names = c(NA,
-184L), class = c("tbl_df", "tbl", "data.frame"))
你可以这样做：
plot_data_lines %>%
filter(City %in% c("Lima", "Bogota","Cali")) %>%
ggplot(aes(x = as.numeric(Year), y = value, color = City)) +
geom_line() +
labs(x = "Year")
如果你把 x = "Year" 而不是 x = Year:
，你会得到一条竖线
plot_data_lines %>%
filter(City %in% c("Lima", "Bogota","Cali")) %>%
ggplot(aes(x = "Year", y = value, color = City)) +
geom_line()
我有一些数据集，可以这样称呼它 plot_data_lines：
|Year |City |value |
-----------------------------
|1981 |Bogota |4 |
|1981 |Cali |3 |
|1981 |Lima |2 |
|1981 |Sao Paulo |1 |
|1981 |Santiago |6 |
|1982 |Bogota |4 |
|1982 |Cali |2 |
|1982 |Lima |1 |
|1982 |Sao Paulo |0 |
|1982 |Santiago |4 |
|1983 |Bogota |3 |
|1983 |Cali |4 |
|1983 |Lima |1 |
|1983 |Sao Paulo |6 |
|1983 |Santiago |6 |
|... |... |... |
|2020 |Bogota |5 |
|2020 |Cali |7 |
|2020 |Lima |9 |
|2020 |Sao Paulo |1 |
|2020 |Santiago |3 |
它已经是长格式了，当我请求数据集的 class 时，我得到的是：
> class(plot_data_lines)
[1] "tbl_df" "tbl" "data.frame"
我需要制作城市子集的线图，例如：卡利、波哥大和利马，但不一定是这些，也不一定只有三个，这就是我尝试过的：
plot_data_lines %>%
filter(City %in% c("Lima", "Bogota","Cali)) %>%
ggplot(plot_data_bar, aes(x = "Year", y = value, color = City)) +
geom_line()
但是我得到这个错误：
Error in `ggplot()`:
! Mapping should be created with `aes()` or `aes_()`.
Run `rlang::last_error()` to see where the error occurred.
出了什么问题？你们能帮帮我吗？
编辑：这是我根据 Allan Camero 的推荐得到的情节：
这次出了什么问题？
这是我的数据样本，以便于重现：
structure(list(Year = c("1981", "1981", "1981", "1981", "1981",
"1981", "1981", "1981", "1981", "1981", "1981", "1981", "1981",
"1981", "1981", "1981", "1981", "1981", "1981", "1981", "1981",
"1981", "1981", "1981", "1981", "1981", "1981", "1981", "1981",
"1981", "1981", "1981", "1981", "1981", "1981", "1981", "1981",
"1981", "1981", "1981", "1981", "1981", "1981", "1981", "1981",
"1981", "1982", "1982", "1982", "1982", "1982", "1982", "1982",
"1982", "1982", "1982", "1982", "1982", "1982", "1982", "1982",
"1982", "1982", "1982", "1982", "1982", "1982", "1982", "1982",
"1982", "1982", "1982", "1982", "1982", "1982", "1982", "1982",
"1982", "1982", "1982", "1982", "1982", "1982", "1982", "1982",
"1982", "1982", "1982", "1982", "1982", "1982", "1982", "1983",
"1983", "1983", "1983", "1983", "1983", "1983", "1983", "1983",
"1983", "1983", "1983", "1983", "1983", "1983", "1983", "1983",
"1983", "1983", "1983", "1983", "1983", "1983", "1983", "1983",
"1983", "1983", "1983", "1983", "1983", "1983", "1983", "1983",
"1983", "1983", "1983", "1983", "1983", "1983", "1983", "1983",
"1983", "1983", "1983", "1983", "1983", "1984", "1984", "1984",
"1984", "1984", "1984", "1984", "1984", "1984", "1984", "1984",
"1984", "1984", "1984", "1984", "1984", "1984", "1984", "1984",
"1984", "1984", "1984", "1984", "1984", "1984", "1984", "1984",
"1984", "1984", "1984", "1984", "1984", "1984", "1984", "1984",
"1984", "1984", "1984", "1984", "1984", "1984", "1984", "1984",
"1984", "1984", "1984"), City = c("Sao Paulo", "Mexico City",
"Lima", "Bogota", "Rio de Janeiro", "Santiago", "Caracas", "Buenos Aires",
"San Salvador", "Brasilia", "Fortaleza", "Guayaquil", "Quito",
"Belo Horizonte", "Medellin", "Cali", "Havana", "Manaus", "Curitiba",
"Maracaibo", "Recife", "Santa Cruz", "Porto Alegre", "Guadalajara",
"Belem", "Puebla", "Goiania", "Cordoba", "Juarez", "Montevideo",
"Leon de los Aldama", "Tijuana", "Barranquilla", "Tegucigalpa",
"Campinas", "Barquisimeto", "Monterrey", "Sao Luis", "Managua",
"Ciudad Nezahualcoyotl", "Maceio", "Callao", "Santo Domingo",
"Guatemala City", "Port-au-Prince", "Rosario", "Sao Paulo", "Mexico City",
"Lima", "Bogota", "Rio de Janeiro", "Santiago", "Caracas", "Buenos Aires",
"San Salvador", "Brasilia", "Fortaleza", "Guayaquil", "Quito",
"Belo Horizonte", "Medellin", "Cali", "Havana", "Manaus", "Curitiba",
"Maracaibo", "Recife", "Santa Cruz", "Porto Alegre", "Guadalajara",
"Belem", "Puebla", "Goiania", "Cordoba", "Juarez", "Montevideo",
"Leon de los Aldama", "Tijuana", "Barranquilla", "Tegucigalpa",
"Campinas", "Barquisimeto", "Monterrey", "Sao Luis", "Managua",
"Ciudad Nezahualcoyotl", "Maceio", "Callao", "Santo Domingo",
"Guatemala City", "Port-au-Prince", "Rosario", "Sao Paulo", "Mexico City",
"Lima", "Bogota", "Rio de Janeiro", "Santiago", "Caracas", "Buenos Aires",
"San Salvador", "Brasilia", "Fortaleza", "Guayaquil", "Quito",
"Belo Horizonte", "Medellin", "Cali", "Havana", "Manaus", "Curitiba",
"Maracaibo", "Recife", "Santa Cruz", "Porto Alegre", "Guadalajara",
"Belem", "Puebla", "Goiania", "Cordoba", "Juarez", "Montevideo",
"Leon de los Aldama", "Tijuana", "Barranquilla", "Tegucigalpa",
"Campinas", "Barquisimeto", "Monterrey", "Sao Luis", "Managua",
"Ciudad Nezahualcoyotl", "Maceio", "Callao", "Santo Domingo",
"Guatemala City", "Port-au-Prince", "Rosario", "Sao Paulo", "Mexico City",
"Lima", "Bogota", "Rio de Janeiro", "Santiago", "Caracas", "Buenos Aires",
"San Salvador", "Brasilia", "Fortaleza", "Guayaquil", "Quito",
"Belo Horizonte", "Medellin", "Cali", "Havana", "Manaus", "Curitiba",
"Maracaibo", "Recife", "Santa Cruz", "Porto Alegre", "Guadalajara",
"Belem", "Puebla", "Goiania", "Cordoba", "Juarez", "Montevideo",
"Leon de los Aldama", "Tijuana", "Barranquilla", "Tegucigalpa",
"Campinas", "Barquisimeto", "Monterrey", "Sao Luis", "Managua",
"Ciudad Nezahualcoyotl", "Maceio", "Callao", "Santo Domingo",
"Guatemala City", "Port-au-Prince", "Rosario"), value = c(-0.00752411164965841,
-0.00858235806970273, -0.0193390181364576, -0.0254733683434182,
-0.0135609910986883, 0.105134246948455, -0.00327911235803224,
0.02163440097074, -0.0079795250800731, -0.0120663651057852, 0.00566322468255433,
-0.00977488904664624, -0.0168848675316369, -0.0196401016591058,
-0.0192114068827001, -0.0128140808793732, -0.014223152965439,
-0.00973446424945887, 0.0375699418169768, -0.02142105793661,
-0.00695816631860418, 0.0110692713467446, 0.0459416198602932,
-0.00522005746178392, 0.0117604524786534, -0.0171166573772657,
-0.0224270599445623, 0.0568574598072727, 0.363782440715696, 0.00176871008818945,
0.00615268511881207, 0.0218960489961891, -0.00677296734458201,
0.00848375774004822, -0.00592202637837714, -0.00823049786018653,
0.0654160956549713, 0.00655848522936036, -0.00811797806585994,
-0.00759894252446815, -0.0101038496148005, -0.0192750800973933,
-0.00774381271740157, -0.00270769939926697, -0.0115319737226118,
0.067601746659629, 0.0412887465245744, 0.0675304707144076, 0.049352729240842,
-0.00515059960494002, 0.0118978209360105, 0.0532868362072011,
-0.0138900894067038, 0.0553103203820288, 0.0144467932412351,
0.0230619422362681, -0.00768032309305345, 0.0295175710261359,
0.0291436275702546, 0.0334635285240448, 0.00297185628988496,
0.00860089159697064, 0.0418153705968756, 0.00884665494515552,
0.0567507349024041, 0.0115747255551046, 0.00494974302483174,
0.0222767386344832, 0.0410441639217649, 0.0339220986643466, -0.00851634191144674,
0.032073082124077, 0.0150209385609767, 0.0917094854315508, 0.136101721332058,
0.050368267606148, 0.0704829723767993, -0.0392054869667851, 0.000438081167034402,
0.00922131908379296, 0.0250832686146108, -0.0160053135734178,
0.105575686170073, -0.00770350237506892, 0.0185934426465312,
0.0622439535708169, 0.007220419413762, 0.0556334333005619, -0.0169255561672605,
0.0204398042931697, -0.00776762518081134, 0.0723950051880403,
0.020920878349233, -0.00995206377715023, 0.0929229547913617,
0.0228930063871382, 0.00842649575171037, -0.0425511033876532,
0.0473487675635951, -0.0093536731191666, 0.00856150354267576,
6.2395130758288e-05, 0.0180391647982547, 0.00166767498637137,
-0.00860498608682273, 0.0105366504728758, 0.00343173349545559,
-0.00792009126743003, -0.019685205307497, 0.0196050922389284,
0.0219901276461645, 0.0189481802235595, 0.0138318843795572, -0.00365097545580035,
-0.0166818970244572, -0.0479954584836083, 0.0184171924206671,
-0.0176179306226417, 0.000719905928180277, -0.00772610628525053,
0.0235675832224525, -0.0158458659538299, -0.0405076597339783,
0.0531548160747947, 0.00775762163745756, 0.026232494634189, 0.0130544024464169,
0.0467360166589372, 0.0193387856213601, 0.0191346924219357, 0.0251196408085357,
-0.0118308797174065, 0.0125649925727593, 0.0979136729415388,
0.0232545093007293, 0.00307768553311674, 0.0308309002997723,
-0.0158154410745328, 0.0304899632424906, -0.0230856315886497,
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-0.0266363954419561, 0.00930455151957403, -0.0352929141002193,
0.0117437323008912, -0.0177357806200151, -0.0533701909768894,
-0.0723079488380151, 0.0349916330912371, -0.0541181208042864,
-0.034948153391848, -0.000224652317719612, -0.0338468457314207,
0.0481618504964105, -0.0161638266039731, -0.000296376579238326,
0.0431739523962326, 0.0433822174484497, 0.0169865188027782, -0.0287180945332731,
-0.0206794881498912, 0.0142301430755713, 0.033694331269516, -0.446442104059541,
0.00959839940203957, 0.0161915348613291, 0.0114643674721635,
-0.0244942682854959, -0.0382169511934245, 0.0403839854108356,
-0.00260313570491377, -0.202768982864469, -0.0273731843762094,
-0.0320431601672718, -0.0219882334689516, 0.00146763256941326,
-0.122515996840899, -0.0172163590871104, -0.027759749062993,
-0.0226039983152669, 0.0242689613566711)), row.names = c(NA,
-184L), class = c("tbl_df", "tbl", "data.frame"))
你可以这样做：
plot_data_lines %>%
filter(City %in% c("Lima", "Bogota","Cali")) %>%
ggplot(aes(x = as.numeric(Year), y = value, color = City)) +
geom_line() +
labs(x = "Year")
如果你把 x = "Year" 而不是 x = Year:
plot_data_lines %>%
filter(City %in% c("Lima", "Bogota","Cali")) %>%
ggplot(aes(x = "Year", y = value, color = City)) +
geom_line()