Statistical testing

ANOVA operator

Description

The anova operator performs an analysis of variance of the data.

Usage

Input projection	.
color	represents the groups to compare
y-axis	measurement value

Output relations	.
pr	numeric, p-value calculated per cell

Details

anova operator performs an analysis of variance of the data. The operator is based on the anova R function.

References

See Analysis of variance on Wikipedia.

See Also

ttest, rfImp

GitHub link

anova_operator on GitHub

lm operator

Description

The lm operator performs a linear regression in Tercen.

Usage

Input projection	.
y-axis	measurement value
x-axis	explanatory value

Output relations	.
intercept	numeric, p-value calculated per cell
slope	numeric, p-value calculated per cell
fit.x	numeric, lowest and highest x values
fit.y	numeric, lowest and highest predicted y values

Details

The lm operator performs a linear regression on each cell.

References

See Linear regression on Wikipedia and lm R function documentation.

See Also

anova

GitHub link

lm_operator on GitHub

t-test operator

Description

The ttest operator performs a Student’s t-test on the data.

Usage

Input projection	.
color	represents the groups to compare
y-axis	measurement value
labels	represents the pairing

Input parameters	.
alternative	A character string specifying the alternative hypothesis, default is “two.sided”
paired	logical, indicating whether to perform pairing, default FALSE
mu	A number indicating the true value of the mean (or difference in means if you are performing a two sample test), default 0.0
var.equal	logical, indicating whether to treat the two variances as being equal. If TRUE then the pooled variance is used to estimate the variance otherwise the Welch (or Satterthwaite) approximation to the degrees of freedom is used, default FALSE
conf.level	numeric, confidence level of the interval, default 0.95

Output relations	.
pv	numeric, p-value calculated per cell

Details

The operator is the t.test function in base R.

References

see the base::t.test function of the R package for the documentation,

See Also

anova, rfImp

GitHub link

ttest_operator on GitHub

Two group t-test operator

Description

twogroupttest operator performs a Student’s t-test on the data.

Usage

Input projection	.
y-axis	measurement value
x-axis	represents the two groups to compare
color	represents the pairing

Input parameters	.
reverse	logical, indicating whether to reverse the calculation on the x-axis, default FALSE
paired	logical, indicating whether to perform pairing, default FALSE
alternative	A character string specifying the alternative hypothesis, default is “two.sided”
mu	A number indicating the true value of the mean (or difference in means if you are performing a two sample test), default 0.0
var.equal	logical, indicating whether to treat the two variances as being equal. If TRUE then the pooled variance is used to estimate the variance otherwise the Welch (or Satterthwaite) approximation to the degrees of freedom is used, default FALSE
conf.level	numeric, confidence level of the interval, default 0.95

Output relations	.
p_value	numeric, p-value calculated per cell

Details

The operator is the t.test function in base R.

References

See the base::t.test function of the R package for the documentation,

See Also

anova, rfImp

GitHub link

twogroupttest_operator on GitHub