Description Usage Arguments Details Value See Also Examples
View source: R/pcafreq.R View source: R/pcafreq.R
It computes a principal component analysis with sumplementary quantitative and qualitative variables. It is wrapper of PCA
.
1 2 3 4 5 |
data |
a data frame |
freq |
a name of the variable specifying frequency weights |
scale.unit |
a boolean, if TRUE (value set by default) then data are scaled to unit variance |
ncp |
number of dimensions kept in the results |
quantisup |
a vector indicating the names of the quantitative supplementary variables |
qualisup |
a vector indicating the names of the categorical supplementary variables |
colw |
an optional column weights (by default, uniform column weights) |
graph |
boolean, if TRUE a graph is displayed |
axes |
a length 2 vector specifying the components to plot |
tfq |
a table of frequencies |
This function calls PCA
with the the frequency weights as row.w
. Any variable present in freq
are removed from the data.
It returns a list described in PCA
.
1 2 3 4 |
dev.new(): using pdf(file="Rplots1.pdf")
**Results for the Principal Component Analysis (PCA)**
The analysis was performed on 149 individuals, described by 5 variables
*The results are available in the following objects:
name description
1 "$eig" "eigenvalues"
2 "$var" "results for the variables"
3 "$var$coord" "coord. for the variables"
4 "$var$cor" "correlations variables - dimensions"
5 "$var$cos2" "cos2 for the variables"
6 "$var$contrib" "contributions of the variables"
7 "$ind" "results for the individuals"
8 "$ind$coord" "coord. for the individuals"
9 "$ind$cos2" "cos2 for the individuals"
10 "$ind$contrib" "contributions of the individuals"
11 "$quali.sup" "results for the supplementary categorical variables"
12 "$quali.sup$coord" "coord. for the supplementary categories"
13 "$quali.sup$v.test" "v-test of the supplementary categories"
14 "$call" "summary statistics"
15 "$call$centre" "mean of the variables"
16 "$call$ecart.type" "standard error of the variables"
17 "$call$row.w" "weights for the individuals"
18 "$call$col.w" "weights for the variables"
dev.new(): using pdf(file="Rplots2.pdf")
dev.new(): using pdf(file="Rplots3.pdf")
**Results for the Principal Component Analysis (PCA)**
The analysis was performed on 149 individuals, described by 5 variables
*The results are available in the following objects:
name description
1 "$eig" "eigenvalues"
2 "$var" "results for the variables"
3 "$var$coord" "coord. for the variables"
4 "$var$cor" "correlations variables - dimensions"
5 "$var$cos2" "cos2 for the variables"
6 "$var$contrib" "contributions of the variables"
7 "$ind" "results for the individuals"
8 "$ind$coord" "coord. for the individuals"
9 "$ind$cos2" "cos2 for the individuals"
10 "$ind$contrib" "contributions of the individuals"
11 "$quali.sup" "results for the supplementary categorical variables"
12 "$quali.sup$coord" "coord. for the supplementary categories"
13 "$quali.sup$v.test" "v-test of the supplementary categories"
14 "$call" "summary statistics"
15 "$call$centre" "mean of the variables"
16 "$call$ecart.type" "standard error of the variables"
17 "$call$row.w" "weights for the individuals"
18 "$call$col.w" "weights for the variables"
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