[R] How to print the frequency table (produced by the command "table" to Excel

[Jim Lemon]

Hi jpm miao,
After a fair stretch of fooling around with it, I can't see any way to
add the variable names ("varnames") to the output of delim.table
without breaking it for things other than table objects. You can
probably do this as a one-off hack by setting the names of the
dimnames of the "counts" element in alphatab like this:

names(dimnames(alphatab$counts))<-alphatab$varnames

You can then shoehorn these into the output by adding a line to
display the second varname above the table and add the first varname
to the row of value labels. That's the best I can do at the moment.

Jim


On Sun, May 1, 2016 at 11:19 AM, jpm miao <miaojpm at gmail.com> wrote:
> Thanks.
> Could we print the row/column names, "alpha1" and "alpha2" to the csv file?
>
> 2016-04-30 17:06 GMT-07:00 Jim Lemon <drjimlemon at gmail.com>:
>>
>> Hi jpm miao,
>> I think you can get what you want like this:
>>
>> alpha1<-sample(LETTERS[1:3],50,TRUE)
>> alpha2<-sample(LETTERS[1:2],50,TRUE)
>> alphas<-data.frame(alpha1,alpha2)
>> library(prettyR)
>> alphatab<-xtab(alpha1~alpha2,alphas)
>> sink("temp_table3.csv",append=TRUE)
>> delim.xtab(alphatab,pct=NA,delim=",")
>> sink()
>>
>> Jim
>>
>> On Sun, May 1, 2016 at 4:47 AM, jpm miao <miaojpm at gmail.com> wrote:
>> > Jim,
>> >
>> >    Thanks for creating such a fantastic package "prettyR".
>> >    I want to print the pretty frequency table (with row total and column
>> > total) to an excel (or csv ) file. Is it possible?
>> >>alphatab
>> >
>> > A B Total
>> > A 8 10 18
>> > B 7 5 12
>> > C 9 11 20
>> > Total 24 26 50
>> >
>> >    Two issues I encountered (See the attached csv file).
>> > 1. When I tried to print the above table to csv file, all elements on
>> > the
>> > same row are printed in one cell.
>> > 2. If I write "delim.table(alpha tab)", the table is distorted (see
>> > attached). Of course, I can adjust it manually but sometimes the number
>> > of
>> > files is big.
>> >
>> >     Thanks!
>> >
>> > Miao
>> >
>> >> alpha1<-sample(LETTERS[1:3],50,TRUE)
>> >> alpha2<-sample(LETTERS[1:2],50,TRUE)
>> >>
>> >> alphas<-data.frame(alpha1,alpha2)
>> >> alphatab<-xtab(alpha1~alpha2,alphas)
>> > Crosstabulation of alpha1 by alpha2
>> > alpha2
>> > alpha1      A      B
>> > A      8     10     18
>> >    44.44  55.56      -
>> >    33.33  38.46  36.00
>> >
>> > B      7      5     12
>> >    58.33  41.67      -
>> >    29.17  19.23  24.00
>> >
>> > C      9     11     20
>> >       45     55      -
>> >    37.50  42.31  40.00
>> >
>> >       24     26     50
>> >       48     52    100
>> >> delim.xtab(alphatab,pct=NA,interdigitate=TRUE)
>> > alphatab
>> >
>> > A B Total
>> > A 8 10 18
>> > B 7 5 12
>> > C 9 11 20
>> > Total 24 26 50
>> >
>> >> sink("temp_table3.csv")
>> >> delim.xtab(alphatab,pct=NA,interdigitate=TRUE)
>> >> sink()
>> >> sink("temp_table3.csv", append=TRUE)
>> >> delim.table(alphatab)
>> >> sink()
>> >> sink("temp_table3.csv", append=TRUE)
>> >> delim.table(alphatab)
>> >> sink()
>> >> ?delim.xtab
>> >
>> >
>> > 2016-04-26 16:14 GMT-07:00 Jim Lemon <drjimlemon at gmail.com>:
>> >>
>> >> Hi jpm miao,
>> >> You can get CSV files that can be imported into Excel like this:
>> >>
>> >> library(prettyR)
>> >> sink("excel_table1.csv")
>> >> delim.table(table(df[,c("y","z")]))
>> >> sink()
>> >> sink("excel_table2.csv")
>> >> delim.table(as.data.frame(table(df[,c("y","z")])),label="")
>> >> sink()
>> >> sink("excel_table3.csv")
>> >> delim.table(as.matrix(table(df[,c("y","z")])),label="")
>> >> sink()
>> >>
>> >> Jim
>> >>
>> >> On Wed, Apr 27, 2016 at 8:35 AM, jpm miao <miaojpm at gmail.com> wrote:
>> >> > Hi,
>> >> >
>> >> >    How could we print the frequency table (produced by "table") to an
>> >> > Excel
>> >> > file?
>> >> >    Is there an easy way to do so? Thanks,
>> >> >
>> >> > Miao
>> >> >
>> >> >> df <- data.frame(x = 1:3, y = 3:1, z = letters[1:3])
>> >> >
>> >> >> table(df[,c("y","z")])
>> >> >    z
>> >> > y   a b c
>> >> >   1 0 0 1
>> >> >   2 0 1 0
>> >> >   3 1 0 0
>> >> >> test<-table(df[,c("y","z")])
>> >> >> as.data.frame(test)
>> >> >   y z Freq
>> >> > 1 1 a    0
>> >> > 2 2 a    0
>> >> > 3 3 a    1
>> >> > 4 1 b    0
>> >> > 5 2 b    1
>> >> > 6 3 b    0
>> >> > 7 1 c    1
>> >> > 8 2 c    0
>> >> > 9 3 c    0
>> >> >> as.matrix(test)
>> >> >    z
>> >> > y   a b c
>> >> >   1 0 0 1
>> >> >   2 0 1 0
>> >> >   3 1 0 0
>> >> >> testm<-as.matrix(test)
>> >> >> testm
>> >> >    z
>> >> > y   a b c
>> >> >   1 0 0 1
>> >> >   2 0 1 0
>> >> >   3 1 0 0
>> >> >> typeof(testm)
>> >> > [1] "integer"
>> >> >
>> >> >         [[alternative HTML version deleted]]
>> >> >
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