new数据集
"1" "A.Kejriwal Sena"
"2" "Bhanwarlal Sharma"
"3" "Millennium Post"
"4" ""
"5" "Mushkil hai Zindagi"
"6" ""
"7" "niraj"
"8" ""
"9" "Dharmender Malik"
"10" "S. M. Malik"
"11" "Hocalwire"
"12" "mansoor"
"13" "PRRRK"
"14" "Narendra Solanki"
"15" "Dsekid"
"16" "Rutvik Subhedar"
"17" "Liberator Furiosa"
"18" "The Anarchy Man "
"19" "Swamidutta"
"20" "Phaneendra"
"21" "Rutvik Subhedar"
"22" "Rutvik Subhedar"
"23" "S.Mehrotra"
"24" "Mrigen Sharma"
"25" "Arvind Kejriwal"
"26" "Bitter Pills"
"27" "Tarush Bhalla"
"28" "Americai Narayanan"
"29" "Rupsa Sata Durga"
"30" "Dr Sudhakar Phulekar"
"31" "!"
"32" "Lala Rahul"
"33" "Rakesh panda"
"34" "Jayesh Mehta"
"35" "Kuldeep Bhan"
"36" "K K Raman"
"37" "Kaliya"
"38" ""
"39" "Rana Dev Rajbanshi"
"40" "Rahul Nirmal"
"41" "Satya Prakash Tyagi"
"42" "Ashutosh Singh"
"43" "JMS:"
"44" ""
"45" "akif bhati"
"46" "Arun Joseph"
"47" "#IamAAP"
"48" "suryanraju18 jaihind"
"49" "PANKAJ YADAV"
"50" "Satya Prakash Tyagi"
"51" "Rohit TK"
"52" "Adarsh Choudhary"
"53" "Xtreme Nationalist"
"54" "KCAggarwal"
"55" "NANDKISHORE SHARMA"
"56" "Uttam Dutta"
"57" "P K Agarwal"
"58" "Uttam Dutta"
"59" "Deol"
"60" "Rkmishra"
"61" "Suneel Kumar"
"62" "Rkmishra"
"63" "Mohsin"
"64" "Ranjeet Krishna"
"65" "Jaynul Haq Choudhury"
"66" "Vitthal Mundra"
"67" "Nagesh H"
"68" "Suneel Kumar"
"69" "AHMAD KAMAL"
"70" "sanjeev"
"71" "Kaliya"
"72" "Dinesh"
"73" "Zoher Malkapurwala"
"74" "suryanraju18 jaihind"
"75" "Anand"
"76" "Xtreme Nationalist"
"77" "Aalamjeet Rangi"
"78" ""
"79" "Vimlendra Vimal"
"80" "Rana. R.S"
"81" "RaviVisvesvaraPrasad"
"82" "Virupaksha hs"
"83" "Siddharth"
"84" "Millennium Post"
"85" "Kishanpal"
"86" "Santhosh Kolkunda"
"87" "Surabhi Agarwal"
"88" "Hocalwire"
"89" "Rutvik Subhedar"
"90" "Informed Indians "
"91" "P.r Meghwanshi"
"92" "Rajat "
"93" "Zooni khan"
"94" "real indian"
"95" "Rahul Nirmal"
"96" "P.r Meghwanshi"
"97" "Bibhav"
"98" ""
"99" ""
"100" "K Padma Rani"
"101" "Ganesha"
"102" "Xtreme Nationalist"
"103" "love humanity"
"104" "JeSuis Rohith Vemula"
"105" "samira"
"106" "Munendr Sharma"
"107" "Rawat Singh Tomar"
"108" "Raspal kaur"
"109" "Vivek Gupta"
"110" "Syed Zia"
"111" "suryanraju18 jaihind"
"112" "{AAP "
"113" "Shravan Mansanpally"
"114" "sghosh"
"115" "Lakshmi Srikanth"
"116" "Sanjaybjp"
"117" "Razzak Ali Khan"
"118" "Deepanita Mazumder"
"119" "belvin vaz"
"120" "Amit Kumar"
"121" "#SherDilKejriwal"
"122" "anuj"
"123" "Sambi Reddy"
"124" "Ranjan Kumar Jha"
"125" "Mohsin"
"126" "JeSuis Rohith Vemula"
"127" "Vivek"
"128" "Dolli"
"129" "Bharat_Mata_Ki_Jay"
"130" "Anantkumar"
"131" "Flower"
"132" "ARCHANA SINGH"
"133" "avinash kumar"
"134" ""
"135" "Rajesh Mittal"
"136" "Samik Banerjee"
"137" "ASHWANI KUMAR GOYAL"
"138" "Suneel Kumar"
"139" "Shravan Mansanpally"
"140" "rajA"
"141" "Shravan Mansanpally"
"142" "Mamta Yadav"
"143" "Dr.Chintan Raval"
"144" "suryanraju18 jaihind"
"145" "Dr Sudhakar Phulekar"
"146" "bilal motorwala"
"147" "arif007"
"148" "Dr Sudhakar Phulekar"
"149" "Rakesh Jaiswal"
"150" "Dr Sudhakar Phulekar"
"151" "Prof. Satish Pandey"
"152" "Mohammad Armanullah"
"153" "KCAggarwal"
"154" "Astha Mittal"
"155" "Rajesh Sharma "
"156" "Aditya"
"157" "Rajesh Mittal"
"158" "Anil Kumar"
"159" "Niyati"
"160" "Phronesis Partners"
"161" "Anand Bhatt"
"162" "CSS by Design"
"163" "Naresh Rajput"
"164" "Engineer Sid"
"165" "Flower"
"166" "Rebellion"
"167" "Mebin"
"168" "v.asish kumar"
"169" "Tum se na ho payega!"
"170" "Ranjan Singh"
"171" "mohan munya rathod"
"172" "DINDIGUL CA STUDENTS"
"173" "Vibha Sachdeva"
"174" "GT #MRX"
"175" "Mitesh"
"176" "Hobbes3103"
"177" "Azad Swaraj1"
"178" "NewsBoss.in"
"179" "INDER MORWAL"
"180" "kasani sukhadev"
"181" "Mayur Panghaal"
"182" "Chin_Chan"
"183" "Amit Shukla"
"184" "Mayur Panghaal"
"185" "INDER MORWAL"
"186" "mAt global"
"187" "shamshad shaique"
"188" "Niraj Bhatia "
"189" "Aarti"
"190" "Sudhir Bhardwaj "
"191" "Abhishek Vishnoi"
"192" "AAP Delhi Official"
"193" "WeLove VidyutJammwal"
"194" "Nagesh H"
"195" "Vicky Singh Rajput"
"196" "Lalit Kalra "
"197" ""
"198" "raju"
"199" "knowAguy"
"200" "Judie Custer"
"201" "Gibreel Farishta"
"202" "Onkar Pandey"
"203" "Sampath Simon"
"204" "Thammegowda M D"
"205" "Sickular indian"
"206" "Truthful"
"207" "ajay Kumar nirala"
"208" "ajay Kumar nirala"
"209" "Farhan"
"210" "AAPSuratVarachha"
"211" "siva kumar jagirapu"
"212" "uniindianews"
"213" "Rajendra Pande"
"214" "Kirti Bhushan"
"215" "Sabrina MzTrueHEART"
"216" "krishna ts"
upto 3683 rows
我在此数据集上应用了name2sex函数并出现错误：
Error in `$<-.data.frame`(`*tmp*`, "gender", value = c(NA, NA, NA, NA, :
replacement has 3961 rows, data has 3683`.
我用过：
library(qdap)
names <- as.character(new$name)
gender <- name2sex(names)
length(gender)
#[1]3961
但我的新数据集有3683行，而不是3961.它为描述a和e提供输出，因为它只包含单个单词而不是整个数据集。我尝试了另一种方式，即
library(qdap)
names <- as.character(new$name)
new$gender <- name2sex(names)
#Error in `$<-.data.frame`(`*tmp*`, "gender", value = c(NA, NA, NA, NA, :
# replacement has 3961 rows, data has 3683
答案 0 :(得分：2)
你可以做到
new$gender <- genderdata::ssa_national %>%
filter(name %in% tolower(names)) %>%
group_by(name) %>%
dplyr::summarise(
female = sum(female),
male = sum(male)
) %>%
mutate(
proportion_male = round((male/(male + female)), digits = 4),
proportion_female = round((female/(male + female)), digits = 4)
) %>%
mutate(gender = ifelse(proportion_female == 0.5, "either", ifelse(proportion_female > 0.5, "female", "male"))) %>%
rename(join_name = name) %>%
{full_join(data_frame(name = names, join_name = tolower(names)), ., by = "join_name")} %>%
select(name, proportion_male, proportion_female, gender) %>%
.$gender
基本上是什么样的事情 - 使用debug(name2sex)为自己检查。
另请注意，您应该使用名字而不是任意名称来提供函数。