The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
resp_distributions()
, if missing values are allowed. Now
within respondent mean imputation is used. Before missing values were
turned to a value of 0, which is wrong in almost any case and would have
skewed the results of respondents with missing values. Mean imputation
is not an ideal solution, but it allows the observed data to influence
the value of the mahalanobis distance value under missing data. Because
within respondent mean imputation is not ideal, a new section in the
description is added to call for caution when interpreting the
mahalanobis distance values produced by
resp_distributions()
if min_valid_responses
is
smaller than 1.flag_resp()
.resp_nondifferentiation
.resp_styles()
was used on even numbered response
scales.nep
from the GESIS panel.resp_patterns()
and
resp_nondifferentiation()
as a new function.id
column to all outputs to make it easier to
identify respondents or merge function outputs to data frames.
id
is either True
for an integer id,
False
for no id
column, or a vector of unique
integer or character values identifying each respondent.flag_resp()
function to quickly create and
compare different flagging strategies based on response quality
indicators.resp_*()
and
flag_resp()
functions.resp_*()
functions.flag_resp()
output.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.