我有一个带有列的数据框,名为" mutation"。他们可能是SNP,如" C> A",插入如" + TTTAAG"或删除像" -CTTGA"。例如:
**position** **mutation**
1234 C > A
1452 +TTTAAG
2734 -CTTGA
我希望R在变异列中搜索特定字符(">"," +"或" - ")并写&# 34; SNP","插入"或"删除"分别进入dataframe中的一个新列,所以我希望得到以下结果:
**position** **mutation** **mutation_type**
1234 C > A SNP
1452 +TTTAAG insertion
2734 -CTTGA deletion
我试着做以下事情:
mutation_type <- rep(NA, length(df$position)))
df$mutation_type <- mutation_type #creating a new column with NAs
尝试:
while(grep(pattern = "-", df$mutation)){
df$mutation_type <- "deletion"
}
只覆盖mutation_type列中的每个单元格。你能给我一个如何解决这个问题的建议吗?
答案 0 :(得分:2)
使用# admin.py
class UserForm(forms.ModelForm):
class Meta:
model = User
fields = ('user_permissions',)
class MyModelForm(forms.ModelForm):
def __init__(self, *args, **kwargs):
super(MyModelForm, self).__init__(*args, **kwargs)
self.user_form = UserForm(instance=self.instance and self.instance.django_user, prefix=self.prefix)
class Meta:
model = MyModel
class MyModelAdmin(admin.ModelAdmin):
form = MyModelForm
change_form_template = 'my_model_change_form.html'
# my_model_change_form.html
{% extends "admin/change_form.html" %}
{% block field_sets %}
{% for fieldset in adminform %}
{% include "admin/includes/fieldset.html" %}
{% endfor %}
<form>{{ adminform.form.user_form }}</form>
{% endblock %}
和grep
的解决方案:
ifelse