R变量的条件计算
我试图根据两个不同的列表对象为数据框中的每一行创建一个条件和。其思想是检查行值（其中一些是列表对象）并为每个值指定1或-1，然后找到它们的总数 比如,；df第7行的R变量的条件计算,r,list,sum,conditional-statements,R,List,Sum,Conditional Statements,我试图根据两个不同的列表对象为数据框中的每一行创建一个条件和。其思想是检查行值（其中一些是列表对象）并为每个值指定1或-1，然后找到它们的总数 比如,；df第7行的c（“cuneytozdemir”、“ahmethc”、“fatihportakal”）类似于此，并且此行的边值应为1，因为cuneytozdemir:1，ahmethc:-1，fatihportakal:1 我试过这段代码，只得到了单个值的结果，而没有得到列表对象的任何值 df_side <- df %>% muta
c（“cuneytozdemir”、“ahmethc”、“fatihportakal”）cuneytozdemir:1，ahmethc:-1，fatihportakal:1df_side <- df %>%
mutate(side= case_when(
mentions %in% unlist(J_Con) ~ 1,
mentions %in% unlist(J_Pro) ~ -1))
df_侧%
变异（侧=情况）(
在%unlist（J_Con）~1中提到%，
在未列出的百分比中提及百分比（J_Pro~-1））
df <- structure(list(screen_name = c("N_bingol", "SAliakman", "TC_SelimCandas",
"deniyeciz", "batuozcn", "dst_cemal", "kentineiyibak", "GokhanMHP",
"GokhanMHP", "ramadanmeletli"),
mentions = list(c("turgayguler","mecertas", "yasingorgulu28", "Atasehirakgenc", "SAliakman"),
c("N_bingol", "turgayguler", "mecertas", "yasingorgulu28","Atasehirakgenc", "SAliakman"),
c("MesutKokten", "ahmethc","MHP_Bilgi"), "ahmethc",
c("tevfik_uygur", "turgayguler"),"hikmetgenc",
c("cuneytozdemir", "ahmethc", "fatihportakal"), "ahmethc", "ahmethc",
c("GokhanMHP", "ahmethc"))),
row.names = c("11355","11383", "68592", "228341", "354369", "358484", "359043", "371744","371753", "372216"),
class = "data.frame")
J_Con <- structure(c(17L, 26L, 31L, 38L, 61L, 10L, 68L, 13L, 24L, 41L,
48L, 56L, 49L, 22L, 25L, 52L, 39L, 5L, 9L, 33L, 69L, 73L, 66L,
28L, 55L, 8L, 1L, 74L, 47L, 70L, 20L, 4L, 32L, 16L, 65L, 6L,
14L, 21L, 63L, 43L, 53L, 57L, 15L, 36L, 7L, 37L, 50L, 54L, 12L),
.Label = c("acikcenk", "ahmetay_", "ahmethc", "akdemircigdem",
"amberinzaman", "arzuyldzz", "asliaydintasbas", "AtillaSertell",
"banuguven", "barisyarkadas", "bekiservet", "cakir_rusen", "candundaradasi",
"cengizalgan", "ceydak", "cuneytozdemir", "degirmencirfan", "denizyildirim79",
"doganburak29", "dunya20101", "efekerem", "emrkongar", "EremSenturk",
"erenerdemnet", "ETemelkuran", "fatihportakal", "fatihtezcan",
"gokhanozbek", "haciykk", "hakanchelik", "Halitisci", "HasanCucuk",
"haykobagdat", "hikmetgenc", "hilal_kaplan", "imambakirukus",
"iremafsin", "ismaildukel", "ismailsaymaz", "kenan_kiran", "KucukkayaIsmail",
"mahmutovur", "MaliGuller", "Malikejder47", "MehToprak", "melihaltinok",
"merdanyanardag", "mkirikkanat", "mustafabalbay", "mustafahos",
"nevzatcicek", "nihatsirdar", "NuranWolf", "ozge_mumcu", "ozgurmumcu",
"RuhatMengi34", "s_hablemitoglu", "samiltayyar27", "Sarikli_Voyvoda",
"sarseven", "SedefKabas", "sevilayyaziyor", "siring", "slymnoz",
"TaylanKulacogIu", "Tuluhantekeli", "turgayguler", "ugurdundarsozcu",
"unsalunlu", "utkucakirozer", "veyisates", "yenisafakwriter",
"yvzah", "YZGLLDGN", "zihnicakir"), class = "factor")
J_Pro <- structure(c(67L, 27L, 11L, 40L, 75L, 34L, 3L, 44L, 64L, 72L,
35L, 58L, 60L, 71L, 18L, 62L, 19L, 46L, 51L, 2L, 23L, 29L, 30L,
42L, 59L, 45L),
.Label = c("acikcenk", "ahmetay_", "ahmethc","akdemircigdem", "amberinzaman",
"arzuyldzz", "asliaydintasbas","AtillaSertell", "banuguven", "barisyarkadas",
"bekiservet","cakir_rusen", "candundaradasi", "cengizalgan", "ceydak", "cuneytozdemir",
"degirmencirfan", "denizyildirim79", "doganburak29", "dunya20101",
"efekerem", "emrkongar", "EremSenturk", "erenerdemnet", "ETemelkuran",
"fatihportakal", "fatihtezcan", "gokhanozbek", "haciykk", "hakanchelik",
"Halitisci", "HasanCucuk", "haykobagdat", "hikmetgenc", "hilal_kaplan",
"imambakirukus", "iremafsin", "ismaildukel", "ismailsaymaz",
"kenan_kiran", "KucukkayaIsmail", "mahmutovur", "MaliGuller",
"Malikejder47", "MehToprak", "melihaltinok", "merdanyanardag",
"mkirikkanat", "mustafabalbay", "mustafahos", "nevzatcicek",
"nihatsirdar", "NuranWolf", "ozge_mumcu", "ozgurmumcu", "RuhatMengi34",
"s_hablemitoglu", "samiltayyar27", "Sarikli_Voyvoda", "sarseven",
"SedefKabas", "sevilayyaziyor", "siring", "slymnoz", "TaylanKulacogIu",
"Tuluhantekeli", "turgayguler", "ugurdundarsozcu", "unsalunlu",
"utkucakirozer", "veyisates", "yenisafakwriter", "yvzah", "YZGLLDGN",
"zihnicakir"), class = "factor")
df阅读您的问题和代码，在我看来，您似乎想做以下事情。您以第7行为例。您试图检查该行中的每个名称是否出现在J_pro
或J_Con
中。如果名称出现在J_Con
中，则为名称指定1。如果名称出现在J_Pro
中，则为名称指定-1。否则，将0指定给该名称。我想你是想在你的代码中做到这一点。然后，对于每一行，您要将两个逻辑检查的值相加
因此，首先，我创建了一个名为id
的组变量，然后将数据转换为长格式数据。我创建了两列来进行逻辑检查。然后，我总结了这两个专栏。最后，我删除了这些列。如果您需要按屏幕名称进一步聚合数据，则还需要一个group\U by+SUMMARY
library(dplyr)
library(tidyr)
library(purrr)
# Check if there is any overlapping between the two.
intersect(J_Pro, J_Con)
group_by(df, id = 1:n()) %>%
unnest_longer(mentions) %>%
mutate(check_con = if_else(mentions %in% J_Con, 1, 0),
check_pro = if_else(mentions %in% J_Pro, -1, 0)) %>%
summarize(screen_name = first(screen_name),
res = sum(check_con) + sum(check_pro)) %>%
select(-contains("check"))
# id screen_name res
# <int> <chr> <dbl>
# 1 1 N_bingol -1
# 2 2 SAliakman -1
# 3 3 TC_SelimCandas -1
# 4 4 deniyeciz -1
# 5 5 batuozcn -1
# 6 6 dst_cemal -1
# 7 7 kentineiyibak 1
# 8 8 GokhanMHP -1
# 9 9 GokhanMHP -1
#10 10 ramadanmeletli -1
mutate(df,
res = map(.x = mentions,
.f = function(x) {sum(if_else(unlist(x) %in% J_Con, 1, 0)) +
sum(if_else(unlist(x) %in% J_Pro, -1, 0))}))
# screen_name mentions res
#1 N_bingol turgayguler, mecertas, yasingorgulu28, Atasehirakgenc, SAliakman -1
#2 SAliakman N_bingol, turgayguler, mecertas, yasingorgulu28, Atasehirakgenc, SAliakman -1
#3 TC_SelimCandas MesutKokten, ahmethc, MHP_Bilgi -1
#4 deniyeciz ahmethc -1
#5 batuozcn tevfik_uygur, turgayguler -1
#6 dst_cemal hikmetgenc -1
#7 kentineiyibak cuneytozdemir, ahmethc, fatihportakal 1
#8 GokhanMHP ahmethc -1
#9 GokhanMHP ahmethc -1
#10 ramadanmeletli GokhanMHP, ahmethc -1