I'm writing a chart in rCharts using NVD3. Whatever class of variable I feed into the group column, it takes the order of as.character. For example, if I feed in either time (2013-11-03; 2013-11-10), or forced numeric dates (11.3, 11.10...) the order is not preserved. Can I add something in the x-axis similar to the xAxis='ordinal' call in xPlot?
nPlot.PH <- nPlot(n_total ~ name, group="ds.nv", data=btl.data,
type="multiBarChart")
nPlot.PH$show(cdn=T)
n_total is a count, by name (region) for dates (ds.nv is formatted as numeric).
Related
I have two columns in excel and want to subtract the time difference in minutes
21/12/2022, 8:17 pm
21/12/2022, 8:00 pm
How can I convert text to a number format so that I can subtract those easily
You can use the VALUE function. The VALUE function converts a text string that represents a number to a number value.
For example, to convert the text "8:17" to a number value, you can use the following formula:
=VALUE("8:17")
This will return a number value equivalent to the time 8:17.
To subtract the time difference between two cells in Excel, you can use the =B2-A2 formula, where A2 and B2 are the cells containing the two times you want to subtract.
You can also use the =TEXT function to convert the result of the subtraction back to a text string in a desired format, if needed. For example, to convert the result to a time format, you can use the following formula:
=TEXT(B2-A2, "h:mm")
This will return the time difference in the format "hh:mm".
I am using the filter function to find non blank values, the classic:
=FILTER(A2:A99, NOT(ISBLANK(B2:B99)))
To find all the column A headings that have a non-blank value in column B.
But I would also like to always include the last value regardless of it's ISBLANK, something like:
=FILTER(A2:A99, (CELL("address",A2:A99)="$A$99") OR NOT(ISBLANK(B2:B99)))
But this gives me an error, leading me to the strange question of how do I get this to work:
=FILTER(A2:A99, CELL("address",A2:A99)="$A$99")
Or something similar?
As CELL function does not play well in array formulas, you can get addresses as strings for cells like this:
=ARRAYFORMULA(ADDRESS(ROW(A2:A99), COLUMN(A2:A99)))
As for your original problem, you can just add the last cell as the last row:
={FILTER(A2:A98, NOT(ISBLANK(B2:B98))); A99}
Or a dynamic version:
=FILTER(A2:A99, (NOT(ISBLANK(B2:B99))) + (ROW(A2:A99) = (ROWS(A2:A99) + ROW(A2) - 1)))
I need to change all the value labels of all my variables in my spss file to be the value itself.
I first tried -
Value Labels ALL.
EXECUTE.
This removes the value labels, but also removes the value entirely. I need this to have a label of some sort as I am converting the file and when there is no values defined it turns the value into a numeric. Therefore, I need the all value labels changed into numbers so that each value's label is just the value - value = 1 then label = 1.
Any ideas to do this across all my variables??
Thanks in advance!!
Here is a solution to get you started:
get file="C:\Program Files\IBM\SPSS\Statistics\23\Samples\English\Employee data.sav".
begin program.
import spss, spssaux, spssdata
spss.Submit("set mprint on.")
vd=spssaux.VariableDict(variableType ="numeric")
for v in vd:
allvalues = list(set(item[0] for item in spssdata.Spssdata(v.VariableName, names=False).fetchall()))
if allvalues:
cmd="value labels " + v.VariableName + "\n".join([" %(i)s '%(i)s'" %locals() for i in allvalues if i <> None]) + "."
spss.Submit(cmd)
spss.Submit("set mprint off.")
end program.
You may want to read this to understand the behaviour of fetchall in reading date variables (or simply exclude date variables from having their values labelled also, if they cause no problems?)
I have to change format to a single cell in a SAS table. That is, the column where the cell is, has format best12., while given that in the cell there is a date, for it I want to use YYMMDD10.
How can I fix?
Thanks in advance.
You can only associate a FORMAT with entire column. If you want cells that have mixed type formatted differently you need a character column that put PUT (function) values into.
To associate a different format with a column use.
proc datasets;
modify data-set-name;
format variables new-format.;
run;
quit;
Here is an example of what you can do if the data allows. Let's say that the earliest date in your data is 1st Jan 2000, this is stored as the number 14,610 in SAS (the number of days since 1st Jan 1960). Therefore if no non-date values exceed this number then you can achieve your goal by formatting all values up to 14,610 as best12. and all values greater than this as yymmdd10.
proc format;
value dtfmt low - 14609 = [best12.]
14610 - high = [yymmdd10.]
;
run;
data want;
input num;
format num dtfmt.;
datalines;
10
20
20514
30
;
run;
You can apply SUBSTR() in IF condition to check for first character and format your variable accordingly..using INPUT() or PUT()
I have following problem:
I need to write a begin and end date into a matrix. Where the matrix contains the yearly quarters (1-4) in the collumns and the rows are the year.
E.g.
Matrix:
Q1 Q2 Q3 Q4
2010
2011
Now the Date 01.01.2010 should be put in the first element and the date 09.20.2011 in the sixed element.
Thanks in advance.
You first have to consider that SAS does not actually have date/time/datetime variables. It just uses numeric variables formatted as date/time/datetime. The actual value being:
days since 1/1/1960 for dates
seconds since 00:00 for times
seconds since 1/1/1960 00:00 for datetimes
SAS does not even distinguish between integer and float numeric types. So a date value can contain a fractional part.
What you do or can do with a SAS numeric variable is completely up to you, and mostly depends on the format you apply. You could mistakenly format a variable containing a date value with a datetime format... or even with a currency format... SAS won't notice or complain.
You also have to consider that SAS does not even actually have matrixes and arrays. It does provide a way to simulate their use to read and write to dataset variables.
That said, SAS does provide a whole lot of formats and informats that allow you to implement date and time manipulation.
Assuming you are coding within a data step, and assuming the "dates" are in dataset numeric variables, then the PUT function can extract the datepart you need to calculate row, column of the matrix element to write to, like so:
DATA table;
ARRAY dm{2,4} dm_r1c1-dm_r1c4 dm_r2c1-dm_r2c4;
beg_row = PUT(beg_date, YEAR4.)-2009;
end_row = PUT(end_date, YEAR4.)-2009;
beg_col = PUT(beg_date, QTR1.);
end_col = PUT(end_date, QTR1.);
dm{beg_row,beg_col} = beg_date;
dm{end_row,end_col} = end_date;
RUN;
... or if you are using a one-dimensional array:
DATA table;
ARRAY da{8} da_1-da_8;
beg_index = 4 * (PUT(beg_date, YEAR4.)-2010) + PUT(beg_date, QTR1.);
end_index = 4 * (PUT(end_date, YEAR4.)-2010) + PUT(end_date, QTR1.);
da{beg_index} = beg_date;
da{end_index} = end_date;
RUN;