Displaying 3 results from an estimated 3 matches for "lenh".
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2006 Sep 17
2
histogram frequency weighing
Fellow R-helpers,
Suppose we create a histogram as follows (although it could be any vector
with zeroes in it):
R> lenh <- hist(iris$Sepal.Length, br=seq(4, 8, 0.05))
R> lenh$counts
[1] 0 0 0 0 0 1 0 3 0 1 0 4 0 2 0 5 0 6 0 10 0 9 0 4 0
[26] 1 0 6 0 7 0 6 0 8 0 7 0 3 0 6 0 6 0 4 0 9 0 7 0 5
[51] 0 2 0 8 0 3 0 4 0 1 0 1 0 3 0 1 0 1 0 0 0 1...
2018 Dec 03
0
New package cNORM: Continuous norming
...ves, IQ tests ...
Conventional methods for producing standard scores in psychometrics or
biometrics are often plagued with "jumps" or "gaps" (i.e.,
discontinuities) in norm tables and low confidence for assessing extreme
scores. The continuous norming method introduced by A. Lenhard et al.
(2016), <doi:10.1177/1073191116656437>, generates continuous test norm
scores on the basis of the raw data from standardization samples,
without requiring assumptions about the distribution of the raw data:
Norm scores are directly established from raw data by modeling the
latt...
2018 Dec 03
0
New package cNORM: Continuous norming
...ves, IQ tests ...
Conventional methods for producing standard scores in psychometrics or
biometrics are often plagued with "jumps" or "gaps" (i.e.,
discontinuities) in norm tables and low confidence for assessing extreme
scores. The continuous norming method introduced by A. Lenhard et al.
(2016), <doi:10.1177/1073191116656437>, generates continuous test norm
scores on the basis of the raw data from standardization samples,
without requiring assumptions about the distribution of the raw data:
Norm scores are directly established from raw data by modeling the
latt...