xpssCompute: Creates data

Description

R implementation of the SPSS COMPUTE argument.

Usage

xpssCompute(x, variables = NULL, fun = NULL,...)

Arguments

input data .

variables

atomic character or character vector with the names of the variables.

fun

atomic character as functionname.

...

further arguments passed to or from other methods.

Value

Output is a created vector.

Details

Missing Fuctions:

	`Functionname`
`Output`
`computeMiss`	Computes missing values as logical (limited to one variable).
	`computeNmiss`
Computes missing values as logical.
`computeNvalid`	Computes valid values as logical.
	`computeSysmis`
Computes the system missing values as logical.

Numeric Fuctions:

	`Functionname`
`Output`
`computeAbs`	Computes the absolute value.
	`computeArsin`
Computes the arc-sine.
`computeArtan`	Computes the arc-tan.
	`computeCos`
Computes the cosinus.
`computeExp`	Computes the exponential.
	`computeLn`
Computes the logarithmus naturalis.
`computeLg10`	Computes the logarithmus base 10.
	`computeLngamma`
Computes the logarithmus of the gamma function.
`computeMax`	Computes the maxima.
	`computeMean`
Computes the atithmetic mean.
`computeMedian`	Computes the median value.
	`computeMin`
Computes the minima.
`computeMod`	Computes the remainder of a division.
	`computeRnd`
Computes rounded values.
`computeSd`	Computes the standard deviation.

Character Fuctions:

	`Functionname`
`Output`
`computeChar_index`	Returns the position of the first occurence of a pattern.
	`computeChar_length`
Computes the length of a string in characters.
`computeChar_lpad`	Returns an expanded strings.
	`computeChar_mblen`
Computes the byte per character or sign.
`computeChar_rindex`	Returns the position of the last occurence of a pattern.
	`computeChar_rpad`
Returns an expanded strings.
`computeConcat`	Returns a concatenated string.
	`computeLength`
Computes Number of bytes in a string.
`computeLower`	Returns the input data to lower-case.
	`computeLtrim`
Returns a trimmed string (left side trimmed).
`computeNtrim`	Returns the values of the input data.
	`computeReplace`
Replaces a pattern in a string.
`computeRtrim`	Returns a trimmed string (right side trimmed).
	`computeStrunc`
Returns a truncated string.

Lag Fuction:

	`Functionname`
`Output`

Date Fuctions:

	`Functionname`
`Output`
`computeCtime_days`	Computes the difference of time between two dates in days.
	`computeCtime_hours`
Computes the difference of time between two dates in hours.
`computeCtime_minutes`	Computes the difference of time between two dates in minutes.
	`computeCtime_seconds`
Computes the difference of time between two dates in seconds.
`computeDate_dmy`	Computes a date with the format day-month-year.
	`computeDate_mdy`
Computes a date with the format month-day-year.
`computeDate_moyr`	Computes a date with the format month-year.
	`computeDate_qyr`
Computes a date with the format year/quarter.
`computeDate_wkyr`	Computes a date with the format year/calendar week.
	`computeDate_yrday`
Computes a date with the format year/yearday.
`computeTime_days`	Computes the number of passed hours on basis of the given days
	`computeTime_hms`
Computes a date with the format Hour-Minute-Second

computeXdate_date Extracts the date out of a date string. computeXdate_hour Extracts the hour value out of a given date. computeXdate_jday Computes the date of year on basis of a given date. computeXdate_mday Extracts the date of month on basis of a given date. computeXdate_minute Extracts the minute component on basis of a given date. computeXdate_month Extracts the month component on basis of a given date. computeXdate_quarter Computes the quarter on basis of a given date. computeXdate_second Extracts the second on basis of a given date. computeXdate_tday Computes the difference of days between the entered date and October 14, 1582. computeXdate_time Extracts the time componente on basis of a given date. computeXdate_week Calcualtes the calendar week on basis of a given date. computeXdate_wkday Calcualtes the day of week on basis of a given date.

Be careful about the input format of the numeric values in your data. It is possible to specify values which are outside the of valid range. Those failures are called Domain Errors. For example:

	`Function`
`Output`
**	A negative number to a noninteger power.
	/
A divisor of 0.
computeArsin	An argument whose absolute value exceeds 1.
	computeExp
An argument that produces a result too large to be represented on the computer.
computeLg10	A negative or 0 argument.
	computeLn
A negative or 0 argument.
computeMod	A divisor of 0.

Examples

Run this code

data(fromXPSS)

xpssCompute(x=fromXPSS, variables="V7_2",fun="computeValue")

xpssCompute(x=fromXPSS, variables=c("V5","V7_2"),fun="computeMean", na.rm=T)

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