所以我有一个使用的脚本：
read.csv("data.csv") -> y
但我想通过使用：
来分配“y”sqlQuery(ch, "select * from table") -> y
sqlQuery返回/提供.csv文件中的相同数据/列。我遇到的问题是当我将源代码从csv更改为sql时，我的其余脚本无效（我收到了很多错误）。我可以使用表值填充y，但我的其余脚本似乎没有设置为正确使用它。所以我的问题是：使用sqlQuery从SQL导入后，我可以像.csv一样格式化它，这样我就可以避免错误，例如“$ operator对原子向量无效”和“错误代表”（1，nrow（ xxxx））：无效的'次'参数“？
感谢你指点我的任何帮助或指示。
> dput(head(from_sql))
structure(list(school_year = structure(c(1L, 1L, 1L, 1L, 1L,
1L), .Label = "2010-2011", class = "factor"), student_number = c(689322L,
698048L, 698048L, 720067L, 720067L, 725021L), teacher_dpsid = c(100192400L,
100192400L, 100192400L, 100192400L, 100192400L, 100192400L),
school_number = c(459L, 459L, 459L, 459L, 459L, 459L), test_category = structure(c(1L,
1L, 1L, 1L, 1L, 1L), .Label = "C", class = "factor"),
test_name = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = "CNAME", class = "factor"),
measure_name = structure(c(3L, 2L, 3L, 2L, 3L, 2L), .Label = c("M",
"R", "W"), class = "factor"), course_code = c(1356L,
1356L, 1356L, 1356L, 1356L, 1356L), course_name = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), grade_name = c(10L, 9L, 9L, 9L, 9L, 9L), test_date = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), batteryx = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = ".", class = "factor"),
rs = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = ".", class = "factor"),
ss = c(452L, 638L, 529L, 599L, 484L, 594L), proficiency = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), semesterx = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = ".", class = "factor"),
NP = c(24L, 97L, 96L, 77L, 91L, 80L), schoolyear = c(NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_
), assessment = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = "xxxx", class = "factor")), .Names = c("school_year",
"student_number", "teacher_dpsid", "school_number", "test_category",
"test_name", "measure_name", "course_code", "course_name", "grade_name",
"test_date", "batteryx", "rs", "ss", "proficiency", "semesterx",
"NP", "schoolyear", "assessment"), row.names = c(NA, 6L), class = "data.frame")
> dput(head(from_csv))
structure(list(school_year = structure(c(1L, 1L, 1L, 1L, 1L,
1L), .Label = "2010-2011", class = "factor"), student_number = c(3466L,
3466L, 3466L, 3466L, 3466L, 3466L), teacher_dpsid = c(150L, 150L,
201L, 201L, 201L, 201L), school_number = c(2L, 2L, 2L, 2L, 2L,
2L), test_category = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = "C", class = "factor"),
test_name = structure(c(1L, 1L, 2L, 2L, 3L, 3L), .Label = c("CMh",
"CR", "CW"), class = "factor"), measure_name = structure(c(1L,
1L, 2L, 2L, 3L, 3L), .Label = c("M", "R", "W"
), class = "factor"), course_code = c(4330L, 4331L, 1400L,
1405L, 1400L, 1405L), course_name = c(NA, NA, NA, NA, NA,
NA), grade_name = c(10L, 10L, 10L, 10L, 10L, 10L), test_date = c(NA,
NA, NA, NA, NA, NA), batteryx = structure(c(1L, 1L, 1L, 1L,
1L, 1L), .Label = ".", class = "factor"), rs = structure(c(1L,
1L, 1L, 1L, 1L, 1L), .Label = ".", class = "factor"), ss = c(541L,
705L, 742L, 706L, 439L, 535L), proficiency = c(NA, NA, NA,
NA, NA, NA), semesterx = structure(c(1L, 1L, 1L, 1L, 1L,
1L), .Label = ".", class = "factor"), np = c(59L, 56L, 3L,
18L, 39L, 69L), schoolyear = c(NA, NA, NA, NA, NA, NA), assessment = structure(c(2L,
2L, 4L, 4L, 6L, 6L), .Label = c("CM2010-2011", "CM2011-2012",
"CR2010-2011", "CR2011-2012", "CW2010-2011",
"CW2011-2012"), class = "factor")), .Names = c("school_year",
"student_number", "teacher_dpsid", "school_number", "test_category",
"test_name", "measure_name", "course_code", "course_name", "grade_name",
"test_date", "batteryx", "rs", "ss", "proficiency", "semesterx",
"np", "schoolyear", "assessment"), row.names = c(NA, 6L), class = "data.frame")